A network agent-based model of ethnocentrism and intergroup cooperation View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03-23

AUTHORS

Carlos M. Lemos, Ross J. Gore, Laurence Lessard-Phillips, F. LeRon Shults

ABSTRACT

We present a network agent-based model of ethnocentrism and intergroup cooperation in which agents from two groups (majority and minority) change their communality (feeling of group solidarity), cooperation strategy and social ties, depending on a barrier of “likeness” (affinity). Our purpose was to study the model’s capability for describing how the mechanisms of preexisting markers (or “tags”) that can work as cues for inducing in-group bias, imitation, and reaction to non-cooperating agents, lead to ethnocentrism or intergroup cooperation and influence the formation of the network of mixed ties between agents of different groups. We explored the model’s behavior via four experiments in which we studied the combined effects of “likeness,” relative size of the minority group, degree of connectivity of the social network, game difficulty (strength) and relative frequencies of strategy revision and structural adaptation. The parameters that have a stronger influence on the emerging dominant strategies and the formation of mixed ties in the social network are the group-tag barrier, the frequency with which agents react to adverse partners, and the game difficulty. The relative size of the minority group also plays a role in increasing the percentage of mixed ties in the social network. This is consistent with the intergroup ties being dependent on the “arena” of contact (with progressively stronger barriers from e.g. workmates to close relatives), and with measures that hinder intergroup contact also hindering mutual cooperation. More... »

PAGES

1-27

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11135-019-00856-y

DOI

http://dx.doi.org/10.1007/s11135-019-00856-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112964705


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/2008/1701", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/17", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology and Cognitive Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Agder", 
          "id": "https://www.grid.ac/institutes/grid.23048.3d", 
          "name": [
            "Department of Religion, Philosophy and History, University of Agder, Kristiansand, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lemos", 
        "givenName": "Carlos M.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Old Dominion University", 
          "id": "https://www.grid.ac/institutes/grid.261368.8", 
          "name": [
            "Virginia Modeling, Analysis and Simulation Center, Old Dominion University, Norfolk, VA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gore", 
        "givenName": "Ross J.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Birmingham", 
          "id": "https://www.grid.ac/institutes/grid.6572.6", 
          "name": [
            "Institute for Research into Superdiversity (IRiS), School of Social Policy, University of Birmingham, Birmingham, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lessard-Phillips", 
        "givenName": "Laurence", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Agder", 
          "id": "https://www.grid.ac/institutes/grid.23048.3d", 
          "name": [
            "Institute for Global Development and Social Planning, University of Agder, Kristiansand, Norway", 
            "Center for Modeling Social Systems at NORCE, Kristiansand, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shults", 
        "givenName": "F. LeRon", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1126/science.1133755", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002913322"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pcbi.0020140", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003326775"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1037/0022-3514.46.5.1044", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005336122"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.97.16.9340", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010326761"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.66.056118", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010693077"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.66.056118", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010693077"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.evolhumbehav.2009.02.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014649959"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04605", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017620878", 
          "https://doi.org/10.1038/nature04605"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04605", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017620878", 
          "https://doi.org/10.1038/nature04605"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04605", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017620878", 
          "https://doi.org/10.1038/nature04605"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jtbi.2015.03.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021432275"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ejsp.2420010202", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021880123"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0022002797041002001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023312502"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0022002797041002001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023312502"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0508201103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024346238"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pcbi.1004709", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025321711"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.soc.27.1.415", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025450790"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/0022250x.1971.9989794", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027934917"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0146167299025001008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028963599"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0146167299025001008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028963599"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.joep.2007.01.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039339497"
        ], 
        "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": "https://doi.org/10.1371/journal.pone.0032114", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043792201"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.2041-210x.2011.00180.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045978298"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/0022-4537.00126", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050356114"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/0022-4537.00126", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050356114"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ejsp.2420020208", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051081321"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.092080099", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052742175"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/226505", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058546003"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.116.128702", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060765267"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.116.128702", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060765267"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0022002706293470", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063625401"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0022002706293470", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063625401"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.18637/jss.v058.i02", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068672867"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/cbo9780511806292", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098668466"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1388607", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101315447"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1388607", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101315447"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1037/10396-000", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1108426790"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-03-23", 
    "datePublishedReg": "2019-03-23", 
    "description": "We present a network agent-based model of ethnocentrism and intergroup cooperation in which agents from two groups (majority and minority) change their communality (feeling of group solidarity), cooperation strategy and social ties, depending on a barrier of \u201clikeness\u201d (affinity). Our purpose was to study the model\u2019s capability for describing how the mechanisms of preexisting markers (or \u201ctags\u201d) that can work as cues for inducing in-group bias, imitation, and reaction to non-cooperating agents, lead to ethnocentrism or intergroup cooperation and influence the formation of the network of mixed ties between agents of different groups. We explored the model\u2019s behavior via four experiments in which we studied the combined effects of \u201clikeness,\u201d relative size of the minority group, degree of connectivity of the social network, game difficulty (strength) and relative frequencies of strategy revision and structural adaptation. The parameters that have a stronger influence on the emerging dominant strategies and the formation of mixed ties in the social network are the group-tag barrier, the frequency with which agents react to adverse partners, and the game difficulty. The relative size of the minority group also plays a role in increasing the percentage of mixed ties in the social network. This is consistent with the intergroup ties being dependent on the \u201carena\u201d of contact (with progressively stronger barriers from e.g. workmates to close relatives), and with measures that hinder intergroup contact also hindering mutual cooperation.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11135-019-00856-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.4942794", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1053888", 
        "issn": [
          "0033-5177", 
          "1573-7845"
        ], 
        "name": "Quality & Quantity", 
        "type": "Periodical"
      }
    ], 
    "name": "A network agent-based model of ethnocentrism and intergroup cooperation", 
    "pagination": "1-27", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "1b5abe67606ea1d9027984892ae66dd40bd83ccb0a50e871016a3ac54e29c20f"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11135-019-00856-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112964705"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11135-019-00856-y", 
      "https://app.dimensions.ai/details/publication/pub.1112964705"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:57", 
    "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/v90/0000000365_0000000365/records_71677_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs11135-019-00856-y"
  }
]
 

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/s11135-019-00856-y'

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/s11135-019-00856-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11135-019-00856-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11135-019-00856-y'


 

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

171 TRIPLES      21 PREDICATES      53 URIs      16 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11135-019-00856-y schema:about anzsrc-for:17
2 anzsrc-for:1701
3 schema:author Nfa1f00cc7b9d4858be0f6cc727d34bc6
4 schema:citation sg:pub.10.1038/30918
5 sg:pub.10.1038/nature04605
6 https://doi.org/10.1002/ejsp.2420010202
7 https://doi.org/10.1002/ejsp.2420020208
8 https://doi.org/10.1016/j.evolhumbehav.2009.02.004
9 https://doi.org/10.1016/j.joep.2007.01.007
10 https://doi.org/10.1016/j.jtbi.2015.03.008
11 https://doi.org/10.1017/cbo9780511806292
12 https://doi.org/10.1037/0022-3514.46.5.1044
13 https://doi.org/10.1037/10396-000
14 https://doi.org/10.1073/pnas.0508201103
15 https://doi.org/10.1073/pnas.092080099
16 https://doi.org/10.1073/pnas.97.16.9340
17 https://doi.org/10.1080/0022250x.1971.9989794
18 https://doi.org/10.1086/226505
19 https://doi.org/10.1103/physreve.66.056118
20 https://doi.org/10.1103/physrevlett.116.128702
21 https://doi.org/10.1111/0022-4537.00126
22 https://doi.org/10.1111/j.2041-210x.2011.00180.x
23 https://doi.org/10.1126/science.1133755
24 https://doi.org/10.1146/annurev.soc.27.1.415
25 https://doi.org/10.1177/0022002706293470
26 https://doi.org/10.1177/0022002797041002001
27 https://doi.org/10.1177/0146167299025001008
28 https://doi.org/10.1371/journal.pcbi.0020140
29 https://doi.org/10.1371/journal.pcbi.1004709
30 https://doi.org/10.1371/journal.pone.0032114
31 https://doi.org/10.18637/jss.v058.i02
32 https://doi.org/10.2307/1388607
33 schema:datePublished 2019-03-23
34 schema:datePublishedReg 2019-03-23
35 schema:description We present a network agent-based model of ethnocentrism and intergroup cooperation in which agents from two groups (majority and minority) change their communality (feeling of group solidarity), cooperation strategy and social ties, depending on a barrier of “likeness” (affinity). Our purpose was to study the model’s capability for describing how the mechanisms of preexisting markers (or “tags”) that can work as cues for inducing in-group bias, imitation, and reaction to non-cooperating agents, lead to ethnocentrism or intergroup cooperation and influence the formation of the network of mixed ties between agents of different groups. We explored the model’s behavior via four experiments in which we studied the combined effects of “likeness,” relative size of the minority group, degree of connectivity of the social network, game difficulty (strength) and relative frequencies of strategy revision and structural adaptation. The parameters that have a stronger influence on the emerging dominant strategies and the formation of mixed ties in the social network are the group-tag barrier, the frequency with which agents react to adverse partners, and the game difficulty. The relative size of the minority group also plays a role in increasing the percentage of mixed ties in the social network. This is consistent with the intergroup ties being dependent on the “arena” of contact (with progressively stronger barriers from e.g. workmates to close relatives), and with measures that hinder intergroup contact also hindering mutual cooperation.
36 schema:genre research_article
37 schema:inLanguage en
38 schema:isAccessibleForFree false
39 schema:isPartOf sg:journal.1053888
40 schema:name A network agent-based model of ethnocentrism and intergroup cooperation
41 schema:pagination 1-27
42 schema:productId N55db2440c5044bf8a24729ac0af3a033
43 Nabbcbd3ba6e44dc5b5ab20578a070616
44 Ne6ac98dc4c514346bbd2151b21308901
45 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112964705
46 https://doi.org/10.1007/s11135-019-00856-y
47 schema:sdDatePublished 2019-04-11T12:57
48 schema:sdLicense https://scigraph.springernature.com/explorer/license/
49 schema:sdPublisher Ndbaa344e87bf4ee1a50c516115dfc545
50 schema:url https://link.springer.com/10.1007%2Fs11135-019-00856-y
51 sgo:license sg:explorer/license/
52 sgo:sdDataset articles
53 rdf:type schema:ScholarlyArticle
54 N0cec8ee918c84d559efe67947eeef500 schema:affiliation https://www.grid.ac/institutes/grid.23048.3d
55 schema:familyName Shults
56 schema:givenName F. LeRon
57 rdf:type schema:Person
58 N219cf163a3114af3a134b00b1c6a6118 schema:affiliation https://www.grid.ac/institutes/grid.6572.6
59 schema:familyName Lessard-Phillips
60 schema:givenName Laurence
61 rdf:type schema:Person
62 N326b8662b8ad4500b54bac6b24f148e0 rdf:first Nb6249ffbcfd3491d897f5d5ba7ca75d6
63 rdf:rest Ndfc8259f1e8449c198ce621e23a1be65
64 N5566b7e4388445fb87726db05ce94ba2 schema:affiliation https://www.grid.ac/institutes/grid.23048.3d
65 schema:familyName Lemos
66 schema:givenName Carlos M.
67 rdf:type schema:Person
68 N55db2440c5044bf8a24729ac0af3a033 schema:name dimensions_id
69 schema:value pub.1112964705
70 rdf:type schema:PropertyValue
71 N7c729e6217a44269a1e37f861f263030 rdf:first N0cec8ee918c84d559efe67947eeef500
72 rdf:rest rdf:nil
73 Nabbcbd3ba6e44dc5b5ab20578a070616 schema:name readcube_id
74 schema:value 1b5abe67606ea1d9027984892ae66dd40bd83ccb0a50e871016a3ac54e29c20f
75 rdf:type schema:PropertyValue
76 Nb6249ffbcfd3491d897f5d5ba7ca75d6 schema:affiliation https://www.grid.ac/institutes/grid.261368.8
77 schema:familyName Gore
78 schema:givenName Ross J.
79 rdf:type schema:Person
80 Ndbaa344e87bf4ee1a50c516115dfc545 schema:name Springer Nature - SN SciGraph project
81 rdf:type schema:Organization
82 Ndfc8259f1e8449c198ce621e23a1be65 rdf:first N219cf163a3114af3a134b00b1c6a6118
83 rdf:rest N7c729e6217a44269a1e37f861f263030
84 Ne6ac98dc4c514346bbd2151b21308901 schema:name doi
85 schema:value 10.1007/s11135-019-00856-y
86 rdf:type schema:PropertyValue
87 Nfa1f00cc7b9d4858be0f6cc727d34bc6 rdf:first N5566b7e4388445fb87726db05ce94ba2
88 rdf:rest N326b8662b8ad4500b54bac6b24f148e0
89 anzsrc-for:17 schema:inDefinedTermSet anzsrc-for:
90 schema:name Psychology and Cognitive Sciences
91 rdf:type schema:DefinedTerm
92 anzsrc-for:1701 schema:inDefinedTermSet anzsrc-for:
93 schema:name Psychology
94 rdf:type schema:DefinedTerm
95 sg:grant.4942794 http://pending.schema.org/fundedItem sg:pub.10.1007/s11135-019-00856-y
96 rdf:type schema:MonetaryGrant
97 sg:journal.1053888 schema:issn 0033-5177
98 1573-7845
99 schema:name Quality & Quantity
100 rdf:type schema:Periodical
101 sg:pub.10.1038/30918 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041985305
102 https://doi.org/10.1038/30918
103 rdf:type schema:CreativeWork
104 sg:pub.10.1038/nature04605 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017620878
105 https://doi.org/10.1038/nature04605
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1002/ejsp.2420010202 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021880123
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1002/ejsp.2420020208 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051081321
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1016/j.evolhumbehav.2009.02.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014649959
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1016/j.joep.2007.01.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039339497
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1016/j.jtbi.2015.03.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021432275
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1017/cbo9780511806292 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098668466
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1037/0022-3514.46.5.1044 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005336122
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1037/10396-000 schema:sameAs https://app.dimensions.ai/details/publication/pub.1108426790
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1073/pnas.0508201103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024346238
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1073/pnas.092080099 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052742175
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1073/pnas.97.16.9340 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010326761
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1080/0022250x.1971.9989794 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027934917
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1086/226505 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058546003
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1103/physreve.66.056118 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010693077
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1103/physrevlett.116.128702 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060765267
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1111/0022-4537.00126 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050356114
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1111/j.2041-210x.2011.00180.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1045978298
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1126/science.1133755 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002913322
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1146/annurev.soc.27.1.415 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025450790
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1177/0022002706293470 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063625401
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1177/0022002797041002001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023312502
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1177/0146167299025001008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028963599
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1371/journal.pcbi.0020140 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003326775
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1371/journal.pcbi.1004709 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025321711
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1371/journal.pone.0032114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043792201
156 rdf:type schema:CreativeWork
157 https://doi.org/10.18637/jss.v058.i02 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068672867
158 rdf:type schema:CreativeWork
159 https://doi.org/10.2307/1388607 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101315447
160 rdf:type schema:CreativeWork
161 https://www.grid.ac/institutes/grid.23048.3d schema:alternateName University of Agder
162 schema:name Center for Modeling Social Systems at NORCE, Kristiansand, Norway
163 Department of Religion, Philosophy and History, University of Agder, Kristiansand, Norway
164 Institute for Global Development and Social Planning, University of Agder, Kristiansand, Norway
165 rdf:type schema:Organization
166 https://www.grid.ac/institutes/grid.261368.8 schema:alternateName Old Dominion University
167 schema:name Virginia Modeling, Analysis and Simulation Center, Old Dominion University, Norfolk, VA, USA
168 rdf:type schema:Organization
169 https://www.grid.ac/institutes/grid.6572.6 schema:alternateName University of Birmingham
170 schema:name Institute for Research into Superdiversity (IRiS), School of Social Policy, University of Birmingham, Birmingham, UK
171 rdf:type schema:Organization
 




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


...