Time-Varying Graphs and Dynamic Networks View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2011

AUTHORS

Arnaud Casteigts , Paola Flocchini , Walter Quattrociocchi , Nicola Santoro

ABSTRACT

The past decade has seen intensive research efforts on highly dynamic wireless and mobile networks (variously called delay-tolerant, disruptive-tolerant, challenged, opportunistic, etc) whose essential feature is a possible absence of end-to-end communication routes at any instant. As part of these efforts, a number of important concepts have been identified, based on new meanings of distance and connectivity. The main contribution of this paper is to review and integrate the collection of these concepts, formalisms, and related results found in the literature into a unified coherent framework, called TVG (for time-varying graphs).Besides this definitional work, we connect the various assumptions through a hierarchy of classes of TVGs defined with respect to properties with algorithmic significance in distributed computing. One of these classes coincides with the family of dynamic graphs over which population protocols are defined. We examine the (strict) inclusion hierarchy among the classes. The paper also provides a quick review of recent stochastic models for dynamic networks that aim to enable analytical investigation of the dynamics. More... »

PAGES

346-359

References to SciGraph publications

Book

TITLE

Ad-hoc, Mobile, and Wireless Networks

ISBN

978-3-642-22449-2
978-3-642-22450-8

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-22450-8_27

DOI

http://dx.doi.org/10.1007/978-3-642-22450-8_27

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1035602927


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/2008/0802", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Computation Theory and Mathematics", 
        "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": "University of Ottawa", 
          "id": "https://www.grid.ac/institutes/grid.28046.38", 
          "name": [
            "University of Ottawa, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Casteigts", 
        "givenName": "Arnaud", 
        "id": "sg:person.014046062661.61", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014046062661.61"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Ottawa", 
          "id": "https://www.grid.ac/institutes/grid.28046.38", 
          "name": [
            "University of Ottawa, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Flocchini", 
        "givenName": "Paola", 
        "id": "sg:person.011601470625.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011601470625.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "University of Siena, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Quattrociocchi", 
        "givenName": "Walter", 
        "id": "sg:person.0746036256.71", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0746036256.71"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Carleton University", 
          "id": "https://www.grid.ac/institutes/grid.34428.39", 
          "name": [
            "Carleton University, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Santoro", 
        "givenName": "Nicola", 
        "id": "sg:person.010566557723.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010566557723.84"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/978-3-642-10631-6_55", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002089179", 
          "https://doi.org/10.1007/978-3-642-10631-6_55"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-10631-6_55", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002089179", 
          "https://doi.org/10.1007/978-3-642-10631-6_55"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-0037(199610)28:3<125::aid-net1>3.0.co;2-p", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002397178"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1287791.1287794", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003747673"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1672308.1672329", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004442088"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00446-007-0040-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008272694", 
          "https://doi.org/10.1007/s00446-007-0040-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00446-007-0040-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008272694", 
          "https://doi.org/10.1007/s00446-007-0040-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1287853.1287876", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023827035"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-70575-8_11", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027002019", 
          "https://doi.org/10.1007/978-3-540-70575-8_11"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-13122-6_20", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030599426", 
          "https://doi.org/10.1007/978-3-642-13122-6_20"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-13122-6_20", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030599426", 
          "https://doi.org/10.1007/978-3-642-13122-6_20"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-15240-5_9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034657519", 
          "https://doi.org/10.1007/978-3-642-15240-5_9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-15240-5_9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034657519", 
          "https://doi.org/10.1007/978-3-642-15240-5_9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/335305.335364", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039109346"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1582716.1582757", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040500003"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1401890.1401945", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040594121"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0895-7177(97)00050-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041577640"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1015467.1015484", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042134783"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1400751.1400781", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043346600"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1217299.1217301", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045616655"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.physa.2008.11.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046580523"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1806689.1806760", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046808496"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-39611-6_23", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049147060", 
          "https://doi.org/10.1007/978-3-540-39611-6_23"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-39611-6_23", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049147060", 
          "https://doi.org/10.1007/978-3-540-39611-6_23"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.71.046119", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050047293"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.71.046119", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050047293"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-14849-1_19", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052566370", 
          "https://doi.org/10.1007/978-3-642-14849-1_19"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-14849-1_19", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052566370", 
          "https://doi.org/10.1007/978-3-642-14849-1_19"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/comst.2006.323440", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061258162"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/comst.2008.4625806", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061258203"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/mnet.2004.1337732", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061411423"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tpds.2008.218", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061753328"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1142/s0129054103001728", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062896465"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/infocom.2006.228", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093562190"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/ipdps.2011.29", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095543205"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2011", 
    "datePublishedReg": "2011-01-01", 
    "description": "The past decade has seen intensive research efforts on highly dynamic wireless and mobile networks (variously called delay-tolerant, disruptive-tolerant, challenged, opportunistic, etc) whose essential feature is a possible absence of end-to-end communication routes at any instant. As part of these efforts, a number of important concepts have been identified, based on new meanings of distance and connectivity. The main contribution of this paper is to review and integrate the collection of these concepts, formalisms, and related results found in the literature into a unified coherent framework, called TVG (for time-varying graphs).Besides this definitional work, we connect the various assumptions through a hierarchy of classes of TVGs defined with respect to properties with algorithmic significance in distributed computing. One of these classes coincides with the family of dynamic graphs over which population protocols are defined. We examine the (strict) inclusion hierarchy among the classes. The paper also provides a quick review of recent stochastic models for dynamic networks that aim to enable analytical investigation of the dynamics.", 
    "editor": [
      {
        "familyName": "Frey", 
        "givenName": "Hannes", 
        "type": "Person"
      }, 
      {
        "familyName": "Li", 
        "givenName": "Xu", 
        "type": "Person"
      }, 
      {
        "familyName": "Ruehrup", 
        "givenName": "Stefan", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-642-22450-8_27", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": {
      "isbn": [
        "978-3-642-22449-2", 
        "978-3-642-22450-8"
      ], 
      "name": "Ad-hoc, Mobile, and Wireless Networks", 
      "type": "Book"
    }, 
    "name": "Time-Varying Graphs and Dynamic Networks", 
    "pagination": "346-359", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1035602927"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-642-22450-8_27"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "a99990765d927a592ec032830efd9f4fa7698037b4796a1828c470b915454ad2"
        ]
      }
    ], 
    "publisher": {
      "location": "Berlin, Heidelberg", 
      "name": "Springer Berlin Heidelberg", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-642-22450-8_27", 
      "https://app.dimensions.ai/details/publication/pub.1035602927"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T08:59", 
    "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/v90/0000000369_0000000369/records_68980_00000000.jsonl", 
    "type": "Chapter", 
    "url": "https://link.springer.com/10.1007%2F978-3-642-22450-8_27"
  }
]
 

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.10.1007/978-3-642-22450-8_27'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-22450-8_27'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-22450-8_27'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-22450-8_27'


 

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

192 TRIPLES      23 PREDICATES      55 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-642-22450-8_27 schema:about anzsrc-for:08
2 anzsrc-for:0802
3 schema:author Ne2ec554e21c245e1aeb46f311f051b28
4 schema:citation sg:pub.10.1007/978-3-540-39611-6_23
5 sg:pub.10.1007/978-3-540-70575-8_11
6 sg:pub.10.1007/978-3-642-10631-6_55
7 sg:pub.10.1007/978-3-642-13122-6_20
8 sg:pub.10.1007/978-3-642-14849-1_19
9 sg:pub.10.1007/978-3-642-15240-5_9
10 sg:pub.10.1007/s00446-007-0040-2
11 https://doi.org/10.1002/(sici)1097-0037(199610)28:3<125::aid-net1>3.0.co;2-p
12 https://doi.org/10.1016/j.physa.2008.11.021
13 https://doi.org/10.1016/s0895-7177(97)00050-2
14 https://doi.org/10.1103/physreve.71.046119
15 https://doi.org/10.1109/comst.2006.323440
16 https://doi.org/10.1109/comst.2008.4625806
17 https://doi.org/10.1109/infocom.2006.228
18 https://doi.org/10.1109/ipdps.2011.29
19 https://doi.org/10.1109/mnet.2004.1337732
20 https://doi.org/10.1109/tpds.2008.218
21 https://doi.org/10.1142/s0129054103001728
22 https://doi.org/10.1145/1015467.1015484
23 https://doi.org/10.1145/1217299.1217301
24 https://doi.org/10.1145/1287791.1287794
25 https://doi.org/10.1145/1287853.1287876
26 https://doi.org/10.1145/1400751.1400781
27 https://doi.org/10.1145/1401890.1401945
28 https://doi.org/10.1145/1582716.1582757
29 https://doi.org/10.1145/1672308.1672329
30 https://doi.org/10.1145/1806689.1806760
31 https://doi.org/10.1145/335305.335364
32 schema:datePublished 2011
33 schema:datePublishedReg 2011-01-01
34 schema:description The past decade has seen intensive research efforts on highly dynamic wireless and mobile networks (variously called delay-tolerant, disruptive-tolerant, challenged, opportunistic, etc) whose essential feature is a possible absence of end-to-end communication routes at any instant. As part of these efforts, a number of important concepts have been identified, based on new meanings of distance and connectivity. The main contribution of this paper is to review and integrate the collection of these concepts, formalisms, and related results found in the literature into a unified coherent framework, called TVG (for time-varying graphs).Besides this definitional work, we connect the various assumptions through a hierarchy of classes of TVGs defined with respect to properties with algorithmic significance in distributed computing. One of these classes coincides with the family of dynamic graphs over which population protocols are defined. We examine the (strict) inclusion hierarchy among the classes. The paper also provides a quick review of recent stochastic models for dynamic networks that aim to enable analytical investigation of the dynamics.
35 schema:editor N35ad3e624530401bb149a7aed3d3760b
36 schema:genre chapter
37 schema:inLanguage en
38 schema:isAccessibleForFree true
39 schema:isPartOf N3bce33a2b4ba40d4870f8995b9e9288b
40 schema:name Time-Varying Graphs and Dynamic Networks
41 schema:pagination 346-359
42 schema:productId N48487c2479a04f6da936996b13a763d2
43 Nace3b8bc40ae45e4911d0d73c8ab27f8
44 Nc5adcc4ea64d4f6f87cb24a5a9deb3dc
45 schema:publisher N5f61c5e2ef8e4fc1ae7c850655935297
46 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035602927
47 https://doi.org/10.1007/978-3-642-22450-8_27
48 schema:sdDatePublished 2019-04-16T08:59
49 schema:sdLicense https://scigraph.springernature.com/explorer/license/
50 schema:sdPublisher N1381c70aa72d4aaf916b002cafd6be93
51 schema:url https://link.springer.com/10.1007%2F978-3-642-22450-8_27
52 sgo:license sg:explorer/license/
53 sgo:sdDataset chapters
54 rdf:type schema:Chapter
55 N0fd3d064beaa4c009dc7ba059fa652b3 schema:familyName Ruehrup
56 schema:givenName Stefan
57 rdf:type schema:Person
58 N1381c70aa72d4aaf916b002cafd6be93 schema:name Springer Nature - SN SciGraph project
59 rdf:type schema:Organization
60 N35ad3e624530401bb149a7aed3d3760b rdf:first Nf5326a8b615048c8a92ca5140596976d
61 rdf:rest Ne8bdf391d74145a2a7403811a6f477ff
62 N3bce33a2b4ba40d4870f8995b9e9288b schema:isbn 978-3-642-22449-2
63 978-3-642-22450-8
64 schema:name Ad-hoc, Mobile, and Wireless Networks
65 rdf:type schema:Book
66 N48487c2479a04f6da936996b13a763d2 schema:name doi
67 schema:value 10.1007/978-3-642-22450-8_27
68 rdf:type schema:PropertyValue
69 N5f61c5e2ef8e4fc1ae7c850655935297 schema:location Berlin, Heidelberg
70 schema:name Springer Berlin Heidelberg
71 rdf:type schema:Organisation
72 N7900c5931548469c9a1cd75460a3524c rdf:first sg:person.0746036256.71
73 rdf:rest Nb16ee11dbeb543d6a35febd229f23988
74 Nace3b8bc40ae45e4911d0d73c8ab27f8 schema:name readcube_id
75 schema:value a99990765d927a592ec032830efd9f4fa7698037b4796a1828c470b915454ad2
76 rdf:type schema:PropertyValue
77 Nafd4497904b54fc3be7fc89579783e5d rdf:first sg:person.011601470625.25
78 rdf:rest N7900c5931548469c9a1cd75460a3524c
79 Nb16ee11dbeb543d6a35febd229f23988 rdf:first sg:person.010566557723.84
80 rdf:rest rdf:nil
81 Nc5adcc4ea64d4f6f87cb24a5a9deb3dc schema:name dimensions_id
82 schema:value pub.1035602927
83 rdf:type schema:PropertyValue
84 Nc8d1c43265b046d49e898749ee5752c3 schema:name University of Siena, Canada
85 rdf:type schema:Organization
86 Nc8d8d92be5df4744a5111ea62ac23fd0 rdf:first N0fd3d064beaa4c009dc7ba059fa652b3
87 rdf:rest rdf:nil
88 Ndb5c3896bbee49cc8d132292e198cc07 schema:familyName Li
89 schema:givenName Xu
90 rdf:type schema:Person
91 Ne2ec554e21c245e1aeb46f311f051b28 rdf:first sg:person.014046062661.61
92 rdf:rest Nafd4497904b54fc3be7fc89579783e5d
93 Ne8bdf391d74145a2a7403811a6f477ff rdf:first Ndb5c3896bbee49cc8d132292e198cc07
94 rdf:rest Nc8d8d92be5df4744a5111ea62ac23fd0
95 Nf5326a8b615048c8a92ca5140596976d schema:familyName Frey
96 schema:givenName Hannes
97 rdf:type schema:Person
98 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
99 schema:name Information and Computing Sciences
100 rdf:type schema:DefinedTerm
101 anzsrc-for:0802 schema:inDefinedTermSet anzsrc-for:
102 schema:name Computation Theory and Mathematics
103 rdf:type schema:DefinedTerm
104 sg:person.010566557723.84 schema:affiliation https://www.grid.ac/institutes/grid.34428.39
105 schema:familyName Santoro
106 schema:givenName Nicola
107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010566557723.84
108 rdf:type schema:Person
109 sg:person.011601470625.25 schema:affiliation https://www.grid.ac/institutes/grid.28046.38
110 schema:familyName Flocchini
111 schema:givenName Paola
112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011601470625.25
113 rdf:type schema:Person
114 sg:person.014046062661.61 schema:affiliation https://www.grid.ac/institutes/grid.28046.38
115 schema:familyName Casteigts
116 schema:givenName Arnaud
117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014046062661.61
118 rdf:type schema:Person
119 sg:person.0746036256.71 schema:affiliation Nc8d1c43265b046d49e898749ee5752c3
120 schema:familyName Quattrociocchi
121 schema:givenName Walter
122 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0746036256.71
123 rdf:type schema:Person
124 sg:pub.10.1007/978-3-540-39611-6_23 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049147060
125 https://doi.org/10.1007/978-3-540-39611-6_23
126 rdf:type schema:CreativeWork
127 sg:pub.10.1007/978-3-540-70575-8_11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027002019
128 https://doi.org/10.1007/978-3-540-70575-8_11
129 rdf:type schema:CreativeWork
130 sg:pub.10.1007/978-3-642-10631-6_55 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002089179
131 https://doi.org/10.1007/978-3-642-10631-6_55
132 rdf:type schema:CreativeWork
133 sg:pub.10.1007/978-3-642-13122-6_20 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030599426
134 https://doi.org/10.1007/978-3-642-13122-6_20
135 rdf:type schema:CreativeWork
136 sg:pub.10.1007/978-3-642-14849-1_19 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052566370
137 https://doi.org/10.1007/978-3-642-14849-1_19
138 rdf:type schema:CreativeWork
139 sg:pub.10.1007/978-3-642-15240-5_9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034657519
140 https://doi.org/10.1007/978-3-642-15240-5_9
141 rdf:type schema:CreativeWork
142 sg:pub.10.1007/s00446-007-0040-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008272694
143 https://doi.org/10.1007/s00446-007-0040-2
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1002/(sici)1097-0037(199610)28:3<125::aid-net1>3.0.co;2-p schema:sameAs https://app.dimensions.ai/details/publication/pub.1002397178
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1016/j.physa.2008.11.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046580523
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1016/s0895-7177(97)00050-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041577640
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1103/physreve.71.046119 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050047293
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1109/comst.2006.323440 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061258162
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1109/comst.2008.4625806 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061258203
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1109/infocom.2006.228 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093562190
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1109/ipdps.2011.29 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095543205
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1109/mnet.2004.1337732 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061411423
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1109/tpds.2008.218 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061753328
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1142/s0129054103001728 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062896465
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1145/1015467.1015484 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042134783
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1145/1217299.1217301 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045616655
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1145/1287791.1287794 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003747673
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1145/1287853.1287876 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023827035
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1145/1400751.1400781 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043346600
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1145/1401890.1401945 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040594121
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1145/1582716.1582757 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040500003
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1145/1672308.1672329 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004442088
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1145/1806689.1806760 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046808496
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1145/335305.335364 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039109346
186 rdf:type schema:CreativeWork
187 https://www.grid.ac/institutes/grid.28046.38 schema:alternateName University of Ottawa
188 schema:name University of Ottawa, Canada
189 rdf:type schema:Organization
190 https://www.grid.ac/institutes/grid.34428.39 schema:alternateName Carleton University
191 schema:name Carleton University, Canada
192 rdf:type schema:Organization
 




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


...