When social computing meets soft computing: opportunities and insights View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Fei Hao, Doo-Soon Park, Zheng Pei

ABSTRACT

The characteristics of the massive social media data, diverse mobile sensing devices as well as the highly complex and dynamic user’s social behavioral patterns have led to the generation of huge amounts of high dimension, uncertain, imprecision and noisy data from social networks. Thanks to the emerging soft computing techniques which unlike the conventional hard computing. It is widely used for coping with the tolerant of imprecision, uncertainty, partial truth, and approximation. One of the most important and promising applications is social network analysis (SNA) that is the process of investigating social structures and relevant properties through the use of network and graph theories. This paper aims to survey various SNA approaches using soft computing techniques such as fuzzy logic, formal concept analysis, rough sets theory and soft set theory. In addition, the relevant software packages about SNA are clearly summarized. More... »

PAGES

8

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s13673-018-0131-z

DOI

http://dx.doi.org/10.1186/s13673-018-0131-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1101762650


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0806", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information Systems", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Shaanxi Normal University", 
          "id": "https://www.grid.ac/institutes/grid.412498.2", 
          "name": [
            "Key Laboratory of Modern Teaching Technology, Ministry of Education, No.199, South Chang\u2019an Road, 710062, Xi\u2019an, China", 
            "School of Computer Science, Shaanxi Normal University, No.620, West Chang\u2019an Avenue, 710119, Xi\u2019an, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hao", 
        "givenName": "Fei", 
        "id": "sg:person.010774253445.74", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010774253445.74"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Soonchunhyang University", 
          "id": "https://www.grid.ac/institutes/grid.412674.2", 
          "name": [
            "Department of Computer Software Engineering, Soonchunhyang University, ShinChang-Myun, 336-745, Asan, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Park", 
        "givenName": "Doo-Soon", 
        "id": "sg:person.010237661221.98", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010237661221.98"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Xihua University", 
          "id": "https://www.grid.ac/institutes/grid.412983.5", 
          "name": [
            "Center for Radio Administration & Technology Development, Xihua University, 610039, Chengdu, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pei", 
        "givenName": "Zheng", 
        "id": "sg:person.013366237373.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013366237373.52"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1145/175222.175223", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003299653"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.camwa.2010.07.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005416087"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2298/csis130217004t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006040199"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-319-08326-1_7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006274859", 
          "https://doi.org/10.1007/978-3-319-08326-1_7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btl039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006278061"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.70.056131", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008815705"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.70.056131", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008815705"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0019-9958(65)90241-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009640697"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/int.20314", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011131302"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-32262-7_24", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011534326", 
          "https://doi.org/10.1007/978-3-540-32262-7_24"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-32262-7_24", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011534326", 
          "https://doi.org/10.1007/978-3-540-32262-7_24"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-981-10-1536-6_94", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011674733", 
          "https://doi.org/10.1007/978-981-10-1536-6_94"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-04020-7_17", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013537231", 
          "https://doi.org/10.1007/978-3-642-04020-7_17"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13673-015-0038-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013837562", 
          "https://doi.org/10.1186/s13673-015-0038-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13673-015-0038-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013837562", 
          "https://doi.org/10.1186/s13673-015-0038-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/int.21743", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014028538"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.socnet.2008.03.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016019377"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/cbo9780511811395.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016739646"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1515/irsr-2013-0023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018821567"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-32262-7_3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019017605", 
          "https://doi.org/10.1007/978-3-540-32262-7_3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-32262-7_3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019017605", 
          "https://doi.org/10.1007/978-3-540-32262-7_3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ins.2006.06.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020392117"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01001956", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020579132", 
          "https://doi.org/10.1007/bf01001956"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.77.016107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028691057"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.77.016107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028691057"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/3-540-45848-4_54", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029175592", 
          "https://doi.org/10.1007/3-540-45848-4_54"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-14197-3_15", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030477823", 
          "https://doi.org/10.1007/978-3-642-14197-3_15"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-14197-3_15", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030477823", 
          "https://doi.org/10.1007/978-3-642-14197-3_15"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0378-8733(89)90018-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030508543"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/03634528709378647", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030848076"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13673-016-0066-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035245242", 
          "https://doi.org/10.1186/s13673-016-0066-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13673-016-0066-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035245242", 
          "https://doi.org/10.1186/s13673-016-0066-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13673-016-0066-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035245242", 
          "https://doi.org/10.1186/s13673-016-0066-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ins.2005.11.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037766032"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-15-314", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037848493", 
          "https://doi.org/10.1186/1471-2164-15-314"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijar.2008.07.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038440277"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/3-540-45848-4_57", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039523484", 
          "https://doi.org/10.1007/3-540-45848-4_57"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/3-540-45848-4_57", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039523484", 
          "https://doi.org/10.1007/3-540-45848-4_57"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.inffus.2016.04.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040452050"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.inffus.2016.04.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040452050"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/30918", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041985305", 
          "https://doi.org/10.1038/30918"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/30918", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041985305", 
          "https://doi.org/10.1038/30918"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-0-387-77672-9_14", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044842529", 
          "https://doi.org/10.1007/978-0-387-77672-9_14"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-0-387-77672-9_14", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044842529", 
          "https://doi.org/10.1007/978-0-387-77672-9_14"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0898-1221(99)00056-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048148957"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.knosys.2007.02.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052097884"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/019697298125470", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053695898"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/scientificamerican0503-60", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056529360", 
          "https://doi.org/10.1038/scientificamerican0503-60"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/225469", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058544967"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.76.046103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060736565"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.76.046103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060736565"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/91.493904", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061247769"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/jstars.2014.2364075", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061333548"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/jsyst.2015.2433294", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061339574"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/mic.2014.25", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061404291"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/mis.2007.41", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061405990"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/mis.2007.4338496", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061406001"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/mnet.2016.7389831", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061411995"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tfuzz.2016.2586945", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061607188"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tfuzz.2016.2612699", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061607231"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tpds.2012.229", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061754035"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tpds.2013.309", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061754448"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tsmca.2009.2036591", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061795570"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1142/s0218488515400012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062977546"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1147/sj.384.0652", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063184544"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0002764299042010003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063548432"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0002764299042010003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063548432"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/089443939901700302", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063873893"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/089443939901700302", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063873893"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3745/jips.04.0026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071359228"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4156/ijact.vol4.issue15.34", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072277775"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.14716/ijtech.v8i1.7628", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083513283"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eswa.2017.04.046", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085347824"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1166/asl.2016.7789", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085664403"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/sym9070100", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090288885"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12652-017-0572-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091504485", 
          "https://doi.org/10.1007/s12652-017-0572-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3745/jips.04.0041", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091626865"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13673-017-0116-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091630354", 
          "https://doi.org/10.1186/s13673-017-0116-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3745/jips.04.0048", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092566221"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s42001-017-0003-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093026659", 
          "https://doi.org/10.1007/s42001-017-0003-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/iccsit.2010.5564702", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093283199"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/icgec.2012.98", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093394954"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/iccsn.2010.34", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093506053"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/asonam.2009.72", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093648146"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/wi-iat.2009.225", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093921695"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/icsmc.2012.6378022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093925256"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/iccat.2013.6521965", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094183641"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/grc.2007.9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094281726"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/edoc.2014.19", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094978567"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/icdm.2006.162", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095141392"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/icdm.2006.162", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095141392"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/nafips.2007.383846", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095189169"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/socialcom-passat.2012.54", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095457255"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/bigcomp.2017.7881708", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095463081"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/giots.2017.8016266", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095822669"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "The characteristics of the massive social media data, diverse mobile sensing devices as well as the highly complex and dynamic user\u2019s social behavioral patterns have led to the generation of huge amounts of high dimension, uncertain, imprecision and noisy data from social networks. Thanks to the emerging soft computing techniques which unlike the conventional hard computing. It is widely used for coping with the tolerant of imprecision, uncertainty, partial truth, and approximation. One of the most important and promising applications is social network analysis (SNA) that is the process of investigating social structures and relevant properties through the use of network and graph theories. This paper aims to survey various SNA approaches using soft computing techniques such as fuzzy logic, formal concept analysis, rough sets theory and soft set theory. In addition, the relevant software packages about SNA are clearly summarized.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s13673-018-0131-z", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1136381", 
        "issn": [
          "2192-1962", 
          "2192-1962"
        ], 
        "name": "Human-centric Computing and Information Sciences", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "8"
      }
    ], 
    "name": "When social computing meets soft computing: opportunities and insights", 
    "pagination": "8", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "aaa57995752fd2be27f2ef2864150753f1b862a994361dbb8f93efaa00d82ada"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s13673-018-0131-z"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1101762650"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s13673-018-0131-z", 
      "https://app.dimensions.ai/details/publication/pub.1101762650"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:05", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000366_0000000366/records_112059_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs13673-018-0131-z"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s13673-018-0131-z'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s13673-018-0131-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13673-018-0131-z'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13673-018-0131-z'


 

This table displays all metadata directly associated to this object as RDF triples.

336 TRIPLES      21 PREDICATES      106 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s13673-018-0131-z schema:about anzsrc-for:08
2 anzsrc-for:0806
3 schema:author Ncb2b9f4a94cc43a69ed4aa16002b1158
4 schema:citation sg:pub.10.1007/3-540-45848-4_54
5 sg:pub.10.1007/3-540-45848-4_57
6 sg:pub.10.1007/978-0-387-77672-9_14
7 sg:pub.10.1007/978-3-319-08326-1_7
8 sg:pub.10.1007/978-3-540-32262-7_24
9 sg:pub.10.1007/978-3-540-32262-7_3
10 sg:pub.10.1007/978-3-642-04020-7_17
11 sg:pub.10.1007/978-3-642-14197-3_15
12 sg:pub.10.1007/978-981-10-1536-6_94
13 sg:pub.10.1007/bf01001956
14 sg:pub.10.1007/s12652-017-0572-7
15 sg:pub.10.1007/s42001-017-0003-8
16 sg:pub.10.1038/30918
17 sg:pub.10.1038/scientificamerican0503-60
18 sg:pub.10.1186/1471-2164-15-314
19 sg:pub.10.1186/s13673-015-0038-x
20 sg:pub.10.1186/s13673-016-0066-1
21 sg:pub.10.1186/s13673-017-0116-3
22 https://doi.org/10.1002/int.20314
23 https://doi.org/10.1002/int.21743
24 https://doi.org/10.1016/0378-8733(89)90018-x
25 https://doi.org/10.1016/j.camwa.2010.07.006
26 https://doi.org/10.1016/j.eswa.2017.04.046
27 https://doi.org/10.1016/j.ijar.2008.07.007
28 https://doi.org/10.1016/j.inffus.2016.04.005
29 https://doi.org/10.1016/j.ins.2005.11.014
30 https://doi.org/10.1016/j.ins.2006.06.003
31 https://doi.org/10.1016/j.knosys.2007.02.001
32 https://doi.org/10.1016/j.socnet.2008.03.001
33 https://doi.org/10.1016/s0019-9958(65)90241-x
34 https://doi.org/10.1016/s0898-1221(99)00056-5
35 https://doi.org/10.1017/cbo9780511811395.013
36 https://doi.org/10.1080/019697298125470
37 https://doi.org/10.1080/03634528709378647
38 https://doi.org/10.1086/225469
39 https://doi.org/10.1093/bioinformatics/btl039
40 https://doi.org/10.1103/physreve.70.056131
41 https://doi.org/10.1103/physreve.76.046103
42 https://doi.org/10.1103/physreve.77.016107
43 https://doi.org/10.1109/91.493904
44 https://doi.org/10.1109/asonam.2009.72
45 https://doi.org/10.1109/bigcomp.2017.7881708
46 https://doi.org/10.1109/edoc.2014.19
47 https://doi.org/10.1109/giots.2017.8016266
48 https://doi.org/10.1109/grc.2007.9
49 https://doi.org/10.1109/iccat.2013.6521965
50 https://doi.org/10.1109/iccsit.2010.5564702
51 https://doi.org/10.1109/iccsn.2010.34
52 https://doi.org/10.1109/icdm.2006.162
53 https://doi.org/10.1109/icgec.2012.98
54 https://doi.org/10.1109/icsmc.2012.6378022
55 https://doi.org/10.1109/jstars.2014.2364075
56 https://doi.org/10.1109/jsyst.2015.2433294
57 https://doi.org/10.1109/mic.2014.25
58 https://doi.org/10.1109/mis.2007.41
59 https://doi.org/10.1109/mis.2007.4338496
60 https://doi.org/10.1109/mnet.2016.7389831
61 https://doi.org/10.1109/nafips.2007.383846
62 https://doi.org/10.1109/socialcom-passat.2012.54
63 https://doi.org/10.1109/tfuzz.2016.2586945
64 https://doi.org/10.1109/tfuzz.2016.2612699
65 https://doi.org/10.1109/tpds.2012.229
66 https://doi.org/10.1109/tpds.2013.309
67 https://doi.org/10.1109/tsmca.2009.2036591
68 https://doi.org/10.1109/wi-iat.2009.225
69 https://doi.org/10.1142/s0218488515400012
70 https://doi.org/10.1145/175222.175223
71 https://doi.org/10.1147/sj.384.0652
72 https://doi.org/10.1166/asl.2016.7789
73 https://doi.org/10.1177/0002764299042010003
74 https://doi.org/10.1177/089443939901700302
75 https://doi.org/10.14716/ijtech.v8i1.7628
76 https://doi.org/10.1515/irsr-2013-0023
77 https://doi.org/10.2298/csis130217004t
78 https://doi.org/10.3390/sym9070100
79 https://doi.org/10.3745/jips.04.0026
80 https://doi.org/10.3745/jips.04.0041
81 https://doi.org/10.3745/jips.04.0048
82 https://doi.org/10.4156/ijact.vol4.issue15.34
83 schema:datePublished 2018-12
84 schema:datePublishedReg 2018-12-01
85 schema:description The characteristics of the massive social media data, diverse mobile sensing devices as well as the highly complex and dynamic user’s social behavioral patterns have led to the generation of huge amounts of high dimension, uncertain, imprecision and noisy data from social networks. Thanks to the emerging soft computing techniques which unlike the conventional hard computing. It is widely used for coping with the tolerant of imprecision, uncertainty, partial truth, and approximation. One of the most important and promising applications is social network analysis (SNA) that is the process of investigating social structures and relevant properties through the use of network and graph theories. This paper aims to survey various SNA approaches using soft computing techniques such as fuzzy logic, formal concept analysis, rough sets theory and soft set theory. In addition, the relevant software packages about SNA are clearly summarized.
86 schema:genre research_article
87 schema:inLanguage en
88 schema:isAccessibleForFree true
89 schema:isPartOf Nc8bd0e859cb0458ab62822b760ca15ea
90 Ne8db28fe13a5459fbc9c01d0884cd5bf
91 sg:journal.1136381
92 schema:name When social computing meets soft computing: opportunities and insights
93 schema:pagination 8
94 schema:productId N8e5c780817c64a4ebd5efd2768870225
95 N90a9295351b34e5ab1a996a387739002
96 Nc258a9b51427475bac84e4b950c98eca
97 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101762650
98 https://doi.org/10.1186/s13673-018-0131-z
99 schema:sdDatePublished 2019-04-11T13:05
100 schema:sdLicense https://scigraph.springernature.com/explorer/license/
101 schema:sdPublisher Na04a387556344eec8940d990a9663ccd
102 schema:url https://link.springer.com/10.1186%2Fs13673-018-0131-z
103 sgo:license sg:explorer/license/
104 sgo:sdDataset articles
105 rdf:type schema:ScholarlyArticle
106 N6aa81dae8fde4e5aba2bb6c2a0755e02 rdf:first sg:person.013366237373.52
107 rdf:rest rdf:nil
108 N8e5c780817c64a4ebd5efd2768870225 schema:name dimensions_id
109 schema:value pub.1101762650
110 rdf:type schema:PropertyValue
111 N90a9295351b34e5ab1a996a387739002 schema:name doi
112 schema:value 10.1186/s13673-018-0131-z
113 rdf:type schema:PropertyValue
114 Na04a387556344eec8940d990a9663ccd schema:name Springer Nature - SN SciGraph project
115 rdf:type schema:Organization
116 Nc258a9b51427475bac84e4b950c98eca schema:name readcube_id
117 schema:value aaa57995752fd2be27f2ef2864150753f1b862a994361dbb8f93efaa00d82ada
118 rdf:type schema:PropertyValue
119 Nc8bd0e859cb0458ab62822b760ca15ea schema:issueNumber 1
120 rdf:type schema:PublicationIssue
121 Ncb2b9f4a94cc43a69ed4aa16002b1158 rdf:first sg:person.010774253445.74
122 rdf:rest Nd1f80d303b53453591ec9d71f30bb369
123 Nd1f80d303b53453591ec9d71f30bb369 rdf:first sg:person.010237661221.98
124 rdf:rest N6aa81dae8fde4e5aba2bb6c2a0755e02
125 Ne8db28fe13a5459fbc9c01d0884cd5bf schema:volumeNumber 8
126 rdf:type schema:PublicationVolume
127 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
128 schema:name Information and Computing Sciences
129 rdf:type schema:DefinedTerm
130 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
131 schema:name Information Systems
132 rdf:type schema:DefinedTerm
133 sg:journal.1136381 schema:issn 2192-1962
134 schema:name Human-centric Computing and Information Sciences
135 rdf:type schema:Periodical
136 sg:person.010237661221.98 schema:affiliation https://www.grid.ac/institutes/grid.412674.2
137 schema:familyName Park
138 schema:givenName Doo-Soon
139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010237661221.98
140 rdf:type schema:Person
141 sg:person.010774253445.74 schema:affiliation https://www.grid.ac/institutes/grid.412498.2
142 schema:familyName Hao
143 schema:givenName Fei
144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010774253445.74
145 rdf:type schema:Person
146 sg:person.013366237373.52 schema:affiliation https://www.grid.ac/institutes/grid.412983.5
147 schema:familyName Pei
148 schema:givenName Zheng
149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013366237373.52
150 rdf:type schema:Person
151 sg:pub.10.1007/3-540-45848-4_54 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029175592
152 https://doi.org/10.1007/3-540-45848-4_54
153 rdf:type schema:CreativeWork
154 sg:pub.10.1007/3-540-45848-4_57 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039523484
155 https://doi.org/10.1007/3-540-45848-4_57
156 rdf:type schema:CreativeWork
157 sg:pub.10.1007/978-0-387-77672-9_14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044842529
158 https://doi.org/10.1007/978-0-387-77672-9_14
159 rdf:type schema:CreativeWork
160 sg:pub.10.1007/978-3-319-08326-1_7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006274859
161 https://doi.org/10.1007/978-3-319-08326-1_7
162 rdf:type schema:CreativeWork
163 sg:pub.10.1007/978-3-540-32262-7_24 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011534326
164 https://doi.org/10.1007/978-3-540-32262-7_24
165 rdf:type schema:CreativeWork
166 sg:pub.10.1007/978-3-540-32262-7_3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019017605
167 https://doi.org/10.1007/978-3-540-32262-7_3
168 rdf:type schema:CreativeWork
169 sg:pub.10.1007/978-3-642-04020-7_17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013537231
170 https://doi.org/10.1007/978-3-642-04020-7_17
171 rdf:type schema:CreativeWork
172 sg:pub.10.1007/978-3-642-14197-3_15 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030477823
173 https://doi.org/10.1007/978-3-642-14197-3_15
174 rdf:type schema:CreativeWork
175 sg:pub.10.1007/978-981-10-1536-6_94 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011674733
176 https://doi.org/10.1007/978-981-10-1536-6_94
177 rdf:type schema:CreativeWork
178 sg:pub.10.1007/bf01001956 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020579132
179 https://doi.org/10.1007/bf01001956
180 rdf:type schema:CreativeWork
181 sg:pub.10.1007/s12652-017-0572-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091504485
182 https://doi.org/10.1007/s12652-017-0572-7
183 rdf:type schema:CreativeWork
184 sg:pub.10.1007/s42001-017-0003-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093026659
185 https://doi.org/10.1007/s42001-017-0003-8
186 rdf:type schema:CreativeWork
187 sg:pub.10.1038/30918 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041985305
188 https://doi.org/10.1038/30918
189 rdf:type schema:CreativeWork
190 sg:pub.10.1038/scientificamerican0503-60 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056529360
191 https://doi.org/10.1038/scientificamerican0503-60
192 rdf:type schema:CreativeWork
193 sg:pub.10.1186/1471-2164-15-314 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037848493
194 https://doi.org/10.1186/1471-2164-15-314
195 rdf:type schema:CreativeWork
196 sg:pub.10.1186/s13673-015-0038-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1013837562
197 https://doi.org/10.1186/s13673-015-0038-x
198 rdf:type schema:CreativeWork
199 sg:pub.10.1186/s13673-016-0066-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035245242
200 https://doi.org/10.1186/s13673-016-0066-1
201 rdf:type schema:CreativeWork
202 sg:pub.10.1186/s13673-017-0116-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091630354
203 https://doi.org/10.1186/s13673-017-0116-3
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1002/int.20314 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011131302
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1002/int.21743 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014028538
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1016/0378-8733(89)90018-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1030508543
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1016/j.camwa.2010.07.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005416087
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1016/j.eswa.2017.04.046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085347824
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1016/j.ijar.2008.07.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038440277
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1016/j.inffus.2016.04.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040452050
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1016/j.ins.2005.11.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037766032
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1016/j.ins.2006.06.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020392117
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1016/j.knosys.2007.02.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052097884
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1016/j.socnet.2008.03.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016019377
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1016/s0019-9958(65)90241-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1009640697
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1016/s0898-1221(99)00056-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048148957
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1017/cbo9780511811395.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016739646
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1080/019697298125470 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053695898
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1080/03634528709378647 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030848076
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1086/225469 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058544967
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1093/bioinformatics/btl039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006278061
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1103/physreve.70.056131 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008815705
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1103/physreve.76.046103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060736565
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1103/physreve.77.016107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028691057
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1109/91.493904 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061247769
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1109/asonam.2009.72 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093648146
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1109/bigcomp.2017.7881708 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095463081
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1109/edoc.2014.19 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094978567
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1109/giots.2017.8016266 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095822669
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1109/grc.2007.9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094281726
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1109/iccat.2013.6521965 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094183641
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1109/iccsit.2010.5564702 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093283199
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1109/iccsn.2010.34 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093506053
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1109/icdm.2006.162 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095141392
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1109/icgec.2012.98 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093394954
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1109/icsmc.2012.6378022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093925256
270 rdf:type schema:CreativeWork
271 https://doi.org/10.1109/jstars.2014.2364075 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061333548
272 rdf:type schema:CreativeWork
273 https://doi.org/10.1109/jsyst.2015.2433294 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061339574
274 rdf:type schema:CreativeWork
275 https://doi.org/10.1109/mic.2014.25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061404291
276 rdf:type schema:CreativeWork
277 https://doi.org/10.1109/mis.2007.41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061405990
278 rdf:type schema:CreativeWork
279 https://doi.org/10.1109/mis.2007.4338496 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061406001
280 rdf:type schema:CreativeWork
281 https://doi.org/10.1109/mnet.2016.7389831 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061411995
282 rdf:type schema:CreativeWork
283 https://doi.org/10.1109/nafips.2007.383846 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095189169
284 rdf:type schema:CreativeWork
285 https://doi.org/10.1109/socialcom-passat.2012.54 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095457255
286 rdf:type schema:CreativeWork
287 https://doi.org/10.1109/tfuzz.2016.2586945 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061607188
288 rdf:type schema:CreativeWork
289 https://doi.org/10.1109/tfuzz.2016.2612699 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061607231
290 rdf:type schema:CreativeWork
291 https://doi.org/10.1109/tpds.2012.229 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061754035
292 rdf:type schema:CreativeWork
293 https://doi.org/10.1109/tpds.2013.309 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061754448
294 rdf:type schema:CreativeWork
295 https://doi.org/10.1109/tsmca.2009.2036591 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061795570
296 rdf:type schema:CreativeWork
297 https://doi.org/10.1109/wi-iat.2009.225 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093921695
298 rdf:type schema:CreativeWork
299 https://doi.org/10.1142/s0218488515400012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062977546
300 rdf:type schema:CreativeWork
301 https://doi.org/10.1145/175222.175223 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003299653
302 rdf:type schema:CreativeWork
303 https://doi.org/10.1147/sj.384.0652 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063184544
304 rdf:type schema:CreativeWork
305 https://doi.org/10.1166/asl.2016.7789 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085664403
306 rdf:type schema:CreativeWork
307 https://doi.org/10.1177/0002764299042010003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063548432
308 rdf:type schema:CreativeWork
309 https://doi.org/10.1177/089443939901700302 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063873893
310 rdf:type schema:CreativeWork
311 https://doi.org/10.14716/ijtech.v8i1.7628 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083513283
312 rdf:type schema:CreativeWork
313 https://doi.org/10.1515/irsr-2013-0023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018821567
314 rdf:type schema:CreativeWork
315 https://doi.org/10.2298/csis130217004t schema:sameAs https://app.dimensions.ai/details/publication/pub.1006040199
316 rdf:type schema:CreativeWork
317 https://doi.org/10.3390/sym9070100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090288885
318 rdf:type schema:CreativeWork
319 https://doi.org/10.3745/jips.04.0026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071359228
320 rdf:type schema:CreativeWork
321 https://doi.org/10.3745/jips.04.0041 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091626865
322 rdf:type schema:CreativeWork
323 https://doi.org/10.3745/jips.04.0048 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092566221
324 rdf:type schema:CreativeWork
325 https://doi.org/10.4156/ijact.vol4.issue15.34 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072277775
326 rdf:type schema:CreativeWork
327 https://www.grid.ac/institutes/grid.412498.2 schema:alternateName Shaanxi Normal University
328 schema:name Key Laboratory of Modern Teaching Technology, Ministry of Education, No.199, South Chang’an Road, 710062, Xi’an, China
329 School of Computer Science, Shaanxi Normal University, No.620, West Chang’an Avenue, 710119, Xi’an, China
330 rdf:type schema:Organization
331 https://www.grid.ac/institutes/grid.412674.2 schema:alternateName Soonchunhyang University
332 schema:name Department of Computer Software Engineering, Soonchunhyang University, ShinChang-Myun, 336-745, Asan, South Korea
333 rdf:type schema:Organization
334 https://www.grid.ac/institutes/grid.412983.5 schema:alternateName Xihua University
335 schema:name Center for Radio Administration & Technology Development, Xihua University, 610039, Chengdu, China
336 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...