Possible Ways of Applying Citations Network Analysis to a Scientific Writing Assistant View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2014

AUTHORS

Alexander Porshnev , Maxim Kazakov

ABSTRACT

Development of linguistic technologies gave rise to a new type of tools for academic writing, which use natural language processing and heuristics to help authors write scientific papers. In our contribution we present a new function “advise a paper to read” and the way it could be implemented. We discuss a possibility of using different centrality metrics and test their application in 50 cases created from 50 top cited articles of the Engineering domain. For each case we created a citation network graph based on the results of a search query in the Web of Knowledge by Thomson Reuters, using adjusted authors key phrases, and compared the results of applying the centrality metrics with the actual reference list presented in each article. More... »

PAGES

119-126

References to SciGraph publications

  • 1953-12. Structural parameters of communication networks in BULLETIN OF MATHEMATICAL BIOLOGY
  • 1966-12. The centrality index of a graph in PSYCHOMETRIKA
  • Book

    TITLE

    Models, Algorithms and Technologies for Network Analysis

    ISBN

    978-3-319-09757-2
    978-3-319-09758-9

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-09758-9_10

    DOI

    http://dx.doi.org/10.1007/978-3-319-09758-9_10

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1004010331


    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": "National Research University Higher School of Economics", 
              "id": "https://www.grid.ac/institutes/grid.410682.9", 
              "name": [
                "National Research University Higher School of Economics, Nizhny Novgorod, Russian Federation"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Porshnev", 
            "givenName": "Alexander", 
            "id": "sg:person.011601466776.39", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011601466776.39"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "National Research University Higher School of Economics", 
              "id": "https://www.grid.ac/institutes/grid.410682.9", 
              "name": [
                "National Research University Higher School of Economics, Nizhny Novgorod, Russian Federation"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kazakov", 
            "givenName": "Maxim", 
            "id": "sg:person.014302433363.70", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014302433363.70"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1002/asi.20317", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001131784"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/asi.20317", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001131784"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ipm.2007.06.006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006051689"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02476438", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024551861", 
              "https://doi.org/10.1007/bf02476438"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02476438", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024551861", 
              "https://doi.org/10.1007/bf02476438"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02289527", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025048784", 
              "https://doi.org/10.1007/bf02289527"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02289527", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025048784", 
              "https://doi.org/10.1007/bf02289527"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0169-7552(98)00110-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035913093"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0378-8733(94)00248-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044362617"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/91.890332", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061248039"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3115/1219044.1219064", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1099221816"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3115/1219044.1219064", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1099221816"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2014", 
        "datePublishedReg": "2014-01-01", 
        "description": "Development of linguistic technologies gave rise to a new type of tools for academic writing, which use natural language processing and heuristics to help authors write scientific papers. In our contribution we present a new function \u201cadvise a paper to read\u201d and the way it could be implemented. We discuss a possibility of using different centrality metrics and test their application in 50 cases created from 50 top cited articles of the Engineering domain. For each case we created a citation network graph based on the results of a search query in the Web of Knowledge by Thomson Reuters, using adjusted authors key phrases, and compared the results of applying the centrality metrics with the actual reference list presented in each article.", 
        "editor": [
          {
            "familyName": "Batsyn", 
            "givenName": "Mikhail V.", 
            "type": "Person"
          }, 
          {
            "familyName": "Kalyagin", 
            "givenName": "Valery A.", 
            "type": "Person"
          }, 
          {
            "familyName": "Pardalos", 
            "givenName": "Panos M.", 
            "type": "Person"
          }
        ], 
        "genre": "chapter", 
        "id": "sg:pub.10.1007/978-3-319-09758-9_10", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": {
          "isbn": [
            "978-3-319-09757-2", 
            "978-3-319-09758-9"
          ], 
          "name": "Models, Algorithms and Technologies for Network Analysis", 
          "type": "Book"
        }, 
        "name": "Possible Ways of Applying Citations Network Analysis to a Scientific Writing Assistant", 
        "pagination": "119-126", 
        "productId": [
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/978-3-319-09758-9_10"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "131b44d51d3fb7ec16ed241a358a3f76a670c62a1a40134571c421425915f5f3"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1004010331"
            ]
          }
        ], 
        "publisher": {
          "location": "Cham", 
          "name": "Springer International Publishing", 
          "type": "Organisation"
        }, 
        "sameAs": [
          "https://doi.org/10.1007/978-3-319-09758-9_10", 
          "https://app.dimensions.ai/details/publication/pub.1004010331"
        ], 
        "sdDataset": "chapters", 
        "sdDatePublished": "2019-04-15T23:49", 
        "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/v90/0000000001_0000000264/records_8697_00000245.jsonl", 
        "type": "Chapter", 
        "url": "http://link.springer.com/10.1007/978-3-319-09758-9_10"
      }
    ]
     

    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.10.1007/978-3-319-09758-9_10'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-09758-9_10'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-09758-9_10'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-09758-9_10'


     

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

    108 TRIPLES      23 PREDICATES      35 URIs      20 LITERALS      8 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/978-3-319-09758-9_10 schema:about anzsrc-for:08
    2 anzsrc-for:0806
    3 schema:author Na6c42c812be442b4bc26b258113526f3
    4 schema:citation sg:pub.10.1007/bf02289527
    5 sg:pub.10.1007/bf02476438
    6 https://doi.org/10.1002/asi.20317
    7 https://doi.org/10.1016/0378-8733(94)00248-9
    8 https://doi.org/10.1016/j.ipm.2007.06.006
    9 https://doi.org/10.1016/s0169-7552(98)00110-x
    10 https://doi.org/10.1109/91.890332
    11 https://doi.org/10.3115/1219044.1219064
    12 schema:datePublished 2014
    13 schema:datePublishedReg 2014-01-01
    14 schema:description Development of linguistic technologies gave rise to a new type of tools for academic writing, which use natural language processing and heuristics to help authors write scientific papers. In our contribution we present a new function “advise a paper to read” and the way it could be implemented. We discuss a possibility of using different centrality metrics and test their application in 50 cases created from 50 top cited articles of the Engineering domain. For each case we created a citation network graph based on the results of a search query in the Web of Knowledge by Thomson Reuters, using adjusted authors key phrases, and compared the results of applying the centrality metrics with the actual reference list presented in each article.
    15 schema:editor Nafaa1e3602e348808f9923a0cde70066
    16 schema:genre chapter
    17 schema:inLanguage en
    18 schema:isAccessibleForFree false
    19 schema:isPartOf N5af82d8572ba44169f70a04bee1594d2
    20 schema:name Possible Ways of Applying Citations Network Analysis to a Scientific Writing Assistant
    21 schema:pagination 119-126
    22 schema:productId N0a9a2686442b4bc88af803b36fc2926e
    23 Nb55afd7e06dd4151adad95b138ad8ad1
    24 Nbba92a83e15d4688b20144bbcdbb707d
    25 schema:publisher N254d7210c0e6408087475c3c1474e7b8
    26 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004010331
    27 https://doi.org/10.1007/978-3-319-09758-9_10
    28 schema:sdDatePublished 2019-04-15T23:49
    29 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    30 schema:sdPublisher Nb960a432992f42b0ac0b30fc82c6958f
    31 schema:url http://link.springer.com/10.1007/978-3-319-09758-9_10
    32 sgo:license sg:explorer/license/
    33 sgo:sdDataset chapters
    34 rdf:type schema:Chapter
    35 N0a9a2686442b4bc88af803b36fc2926e schema:name readcube_id
    36 schema:value 131b44d51d3fb7ec16ed241a358a3f76a670c62a1a40134571c421425915f5f3
    37 rdf:type schema:PropertyValue
    38 N0b8597e7977e483dbfc647b2b06974f0 rdf:first N0f22e814a37a4915881369a294e3fe00
    39 rdf:rest N6763facb9d264ccdaa67366e367ceda1
    40 N0f22e814a37a4915881369a294e3fe00 schema:familyName Kalyagin
    41 schema:givenName Valery A.
    42 rdf:type schema:Person
    43 N254d7210c0e6408087475c3c1474e7b8 schema:location Cham
    44 schema:name Springer International Publishing
    45 rdf:type schema:Organisation
    46 N352a284e62554cccac39d1e738d910ae schema:familyName Batsyn
    47 schema:givenName Mikhail V.
    48 rdf:type schema:Person
    49 N5af82d8572ba44169f70a04bee1594d2 schema:isbn 978-3-319-09757-2
    50 978-3-319-09758-9
    51 schema:name Models, Algorithms and Technologies for Network Analysis
    52 rdf:type schema:Book
    53 N6763facb9d264ccdaa67366e367ceda1 rdf:first Nf5696210f6d3420b8eecf4038e1122fb
    54 rdf:rest rdf:nil
    55 Na6c42c812be442b4bc26b258113526f3 rdf:first sg:person.011601466776.39
    56 rdf:rest Nad98c4cb853345918f6564b2326e6702
    57 Nad98c4cb853345918f6564b2326e6702 rdf:first sg:person.014302433363.70
    58 rdf:rest rdf:nil
    59 Nafaa1e3602e348808f9923a0cde70066 rdf:first N352a284e62554cccac39d1e738d910ae
    60 rdf:rest N0b8597e7977e483dbfc647b2b06974f0
    61 Nb55afd7e06dd4151adad95b138ad8ad1 schema:name doi
    62 schema:value 10.1007/978-3-319-09758-9_10
    63 rdf:type schema:PropertyValue
    64 Nb960a432992f42b0ac0b30fc82c6958f schema:name Springer Nature - SN SciGraph project
    65 rdf:type schema:Organization
    66 Nbba92a83e15d4688b20144bbcdbb707d schema:name dimensions_id
    67 schema:value pub.1004010331
    68 rdf:type schema:PropertyValue
    69 Nf5696210f6d3420b8eecf4038e1122fb schema:familyName Pardalos
    70 schema:givenName Panos M.
    71 rdf:type schema:Person
    72 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    73 schema:name Information and Computing Sciences
    74 rdf:type schema:DefinedTerm
    75 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
    76 schema:name Information Systems
    77 rdf:type schema:DefinedTerm
    78 sg:person.011601466776.39 schema:affiliation https://www.grid.ac/institutes/grid.410682.9
    79 schema:familyName Porshnev
    80 schema:givenName Alexander
    81 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011601466776.39
    82 rdf:type schema:Person
    83 sg:person.014302433363.70 schema:affiliation https://www.grid.ac/institutes/grid.410682.9
    84 schema:familyName Kazakov
    85 schema:givenName Maxim
    86 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014302433363.70
    87 rdf:type schema:Person
    88 sg:pub.10.1007/bf02289527 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025048784
    89 https://doi.org/10.1007/bf02289527
    90 rdf:type schema:CreativeWork
    91 sg:pub.10.1007/bf02476438 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024551861
    92 https://doi.org/10.1007/bf02476438
    93 rdf:type schema:CreativeWork
    94 https://doi.org/10.1002/asi.20317 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001131784
    95 rdf:type schema:CreativeWork
    96 https://doi.org/10.1016/0378-8733(94)00248-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044362617
    97 rdf:type schema:CreativeWork
    98 https://doi.org/10.1016/j.ipm.2007.06.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006051689
    99 rdf:type schema:CreativeWork
    100 https://doi.org/10.1016/s0169-7552(98)00110-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1035913093
    101 rdf:type schema:CreativeWork
    102 https://doi.org/10.1109/91.890332 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061248039
    103 rdf:type schema:CreativeWork
    104 https://doi.org/10.3115/1219044.1219064 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099221816
    105 rdf:type schema:CreativeWork
    106 https://www.grid.ac/institutes/grid.410682.9 schema:alternateName National Research University Higher School of Economics
    107 schema:name National Research University Higher School of Economics, Nizhny Novgorod, Russian Federation
    108 rdf:type schema:Organization
     




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


    ...