{"id":"https://openalex.org/W2250844151","doi":"https://doi.org/10.1145/2567948.2576939","title":"Information network or social network?","display_name":"Information network or social network?","publication_year":2014,"publication_date":"2014-04-07","ids":{"openalex":"https://openalex.org/W2250844151","doi":"https://doi.org/10.1145/2567948.2576939","mag":"2250844151"},"language":"en","primary_location":{"id":"doi:10.1145/2567948.2576939","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2567948.2576939","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd International Conference on World Wide Web","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017737115","display_name":"Seth A. Myers","orcid":null},"institutions":[{"id":"https://openalex.org/I113979032","display_name":"Twitter (United States)","ror":"https://ror.org/04wt43v05","country_code":"US","type":"company","lineage":["https://openalex.org/I113979032"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Seth A. Myers","raw_affiliation_strings":["Twitter, San Francisco, CA, USA"],"affiliations":[{"raw_affiliation_string":"Twitter, San Francisco, CA, USA","institution_ids":["https://openalex.org/I113979032"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101979342","display_name":"Aneesh Sharma","orcid":"https://orcid.org/0009-0002-5252-7376"},"institutions":[{"id":"https://openalex.org/I113979032","display_name":"Twitter (United States)","ror":"https://ror.org/04wt43v05","country_code":"US","type":"company","lineage":["https://openalex.org/I113979032"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aneesh Sharma","raw_affiliation_strings":["Twitter, San Francisco, CA, USA"],"affiliations":[{"raw_affiliation_string":"Twitter, San Francisco, CA, USA","institution_ids":["https://openalex.org/I113979032"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101538109","display_name":"Pankaj Gupta","orcid":"https://orcid.org/0009-0007-2534-7616"},"institutions":[{"id":"https://openalex.org/I113979032","display_name":"Twitter (United States)","ror":"https://ror.org/04wt43v05","country_code":"US","type":"company","lineage":["https://openalex.org/I113979032"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pankaj Gupta","raw_affiliation_strings":["Twitter, San Francisco, CA, USA"],"affiliations":[{"raw_affiliation_string":"Twitter, San Francisco, CA, USA","institution_ids":["https://openalex.org/I113979032"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082997975","display_name":"Jimmy Lin","orcid":"https://orcid.org/0000-0002-0661-7189"},"institutions":[{"id":"https://openalex.org/I113979032","display_name":"Twitter (United States)","ror":"https://ror.org/04wt43v05","country_code":"US","type":"company","lineage":["https://openalex.org/I113979032"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jimmy Lin","raw_affiliation_strings":["Twitter, San Francisco, CA, USA"],"affiliations":[{"raw_affiliation_string":"Twitter, San Francisco, CA, USA","institution_ids":["https://openalex.org/I113979032"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017737115"],"corresponding_institution_ids":["https://openalex.org/I113979032"],"apc_list":null,"apc_paid":null,"fwci":19.6825,"has_fulltext":false,"cited_by_count":309,"citation_normalized_percentile":{"value":0.99635036,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"493","last_page":"498"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9470999836921692,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/assortativity","display_name":"Assortativity","score":0.9129906296730042},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7101632952690125},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.6382567882537842},{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"Clustering coefficient","score":0.6037654876708984},{"id":"https://openalex.org/keywords/degree-distribution","display_name":"Degree distribution","score":0.5298811197280884},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5155653953552246},{"id":"https://openalex.org/keywords/average-path-length","display_name":"Average path length","score":0.45858311653137207},{"id":"https://openalex.org/keywords/network-science","display_name":"Network science","score":0.4541948437690735},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4505992531776428},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4069496691226959},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4023965001106262},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3766430616378784},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36402878165245056},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.33528923988342285},{"id":"https://openalex.org/keywords/shortest-path-problem","display_name":"Shortest path problem","score":0.3046969175338745},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2808426320552826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1994943618774414}],"concepts":[{"id":"https://openalex.org/C89694873","wikidata":"https://www.wikidata.org/wiki/Q4810299","display_name":"Assortativity","level":3,"score":0.9129906296730042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7101632952690125},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.6382567882537842},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.6037654876708984},{"id":"https://openalex.org/C87414783","wikidata":"https://www.wikidata.org/wiki/Q1002603","display_name":"Degree distribution","level":3,"score":0.5298811197280884},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5155653953552246},{"id":"https://openalex.org/C91886571","wikidata":"https://www.wikidata.org/wiki/Q432520","display_name":"Average path length","level":4,"score":0.45858311653137207},{"id":"https://openalex.org/C137753397","wikidata":"https://www.wikidata.org/wiki/Q2434424","display_name":"Network science","level":3,"score":0.4541948437690735},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4505992531776428},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4069496691226959},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4023965001106262},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3766430616378784},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36402878165245056},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.33528923988342285},{"id":"https://openalex.org/C22590252","wikidata":"https://www.wikidata.org/wiki/Q1058754","display_name":"Shortest path problem","level":3,"score":0.3046969175338745},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2808426320552826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1994943618774414}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2567948.2576939","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2567948.2576939","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd International Conference on World Wide Web","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W19684845","https://openalex.org/W1893161742","https://openalex.org/W1928223220","https://openalex.org/W2000159446","https://openalex.org/W2033193852","https://openalex.org/W2055032349","https://openalex.org/W2070600700","https://openalex.org/W2101196063","https://openalex.org/W2111023939","https://openalex.org/W2111708605","https://openalex.org/W2112090702","https://openalex.org/W2136852793","https://openalex.org/W2144982963","https://openalex.org/W2151095918","https://openalex.org/W2157579446","https://openalex.org/W6677090979","https://openalex.org/W6680412070"],"related_works":["https://openalex.org/W2035423614","https://openalex.org/W2129837124","https://openalex.org/W2389897766","https://openalex.org/W2507391891","https://openalex.org/W2063086397","https://openalex.org/W2114920609","https://openalex.org/W2351043639","https://openalex.org/W2131811254","https://openalex.org/W2387368331","https://openalex.org/W2888222179"],"abstract_inverted_index":{"In":[0,61],"this":[1],"paper,":[2],"we":[3,37,63,101,124],"provide":[4,50,150],"a":[5,51,74,117,146,157,162],"characterization":[6],"of":[7,11,34,53,111,160],"the":[8,12,57,104],"topological":[9],"features":[10],"Twitter":[13,73,85,105,132,166],"follow":[14,106],"graph,":[15],"analyzing":[16],"properties":[17],"such":[18],"as":[19,156],"degree":[20,30],"distributions,":[21],"connected":[22],"components,":[23],"shortest":[24],"path":[25],"lengths,":[26],"clustering":[27],"coefficients,":[28],"and":[29,39,116],"assortativity.":[31],"For":[32],"each":[33],"these":[35,65],"properties,":[36],"compare":[38],"contrast":[40],"with":[41],"available":[42],"data":[43,66],"from":[44,127],"other":[45],"social":[46,75,97,118,147],"networks.":[47],"These":[48],"analyses":[49],"set":[52],"authoritative":[54],"statistics":[55],"that":[56,103,126,153],"community":[58],"can":[59],"reference.":[60],"addition,":[62],"use":[64],"to":[67,142],"investigate":[68],"an":[69,78,113,128,137],"often-posed":[70],"question:":[71],"Is":[72],"network":[76,115,164],"or":[77],"information":[79,89,114,138],"network?":[80],"The":[81],"\"follow\"":[82],"relationship":[83],"in":[84],"is":[86],"primarily":[87],"about":[88],"consumption,":[90],"yet":[91],"many":[92],"follows":[93],"are":[94],"built":[95],"on":[96],"ties.":[98],"Not":[99],"surprisingly,":[100],"find":[102],"graph":[107],"exhibits":[108],"structural":[109],"characteristics":[110],"both":[112],"network.":[119,148],"Going":[120],"beyond":[121],"descriptive":[122],"characterizations,":[123],"hypothesize":[125],"individual":[129],"user's":[130],"perspective,":[131],"starts":[133],"off":[134],"more":[135,144],"like":[136,145,165],"network,":[139],"but":[140],"evolves":[141],"behave":[143],"We":[149],"preliminary":[151],"evidence":[152],"may":[154],"serve":[155],"formal":[158],"model":[159],"how":[161],"hybrid":[163],"evolves.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":26},{"year":2021,"cited_by_count":40},{"year":2020,"cited_by_count":39},{"year":2019,"cited_by_count":23},{"year":2018,"cited_by_count":36},{"year":2017,"cited_by_count":22},{"year":2016,"cited_by_count":31},{"year":2015,"cited_by_count":24},{"year":2014,"cited_by_count":6}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}