{"id":"https://openalex.org/W2626504254","doi":"https://doi.org/10.1109/comsnets.2017.7945453","title":"Friends are forever? Evolution of active friendship clusters in online social networks","display_name":"Friends are forever? Evolution of active friendship clusters in online social networks","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2626504254","doi":"https://doi.org/10.1109/comsnets.2017.7945453","mag":"2626504254"},"language":"en","primary_location":{"id":"doi:10.1109/comsnets.2017.7945453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets.2017.7945453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 9th International Conference on Communication Systems and Networks (COMSNETS)","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/A5085237641","display_name":"Haritabh Gupta","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haritabh Gupta","raw_affiliation_strings":["Dept. of Computer Science and Engineering, Indian Institute of Technology, haragpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Indian Institute of Technology, haragpur, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036571304","display_name":"Shamik Sural","orcid":"https://orcid.org/0000-0002-4315-7329"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shamik Sural","raw_affiliation_strings":["Dept. of Computer Science and Engineering, Indian Institute of Technology, haragpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Indian Institute of Technology, haragpur, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073812421","display_name":"Niloy Ganguly","orcid":"https://orcid.org/0000-0002-3967-186X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Niloy Ganguly","raw_affiliation_strings":["Dept. of Computer Science and Engineering, Indian Institute of Technology, haragpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Indian Institute of Technology, haragpur, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034878799","display_name":"Jaideep Vaidya","orcid":"https://orcid.org/0000-0002-7420-6947"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jaideep Vaidya","raw_affiliation_strings":["MSIS Department, Rutgers University, New Jersey, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MSIS Department, Rutgers University, New Jersey, USA","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07894737,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"558","last_page":"563"},"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":0.9983999729156494,"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9800000190734863,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/friendship","display_name":"Friendship","score":0.8788461685180664},{"id":"https://openalex.org/keywords/timeline","display_name":"Timeline","score":0.7943875789642334},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6524127125740051},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.6123660206794739},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5485667586326599},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4785469174385071},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4213237166404724},{"id":"https://openalex.org/keywords/fraction","display_name":"Fraction (chemistry)","score":0.419075071811676},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3590537905693054},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.329914391040802},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21506661176681519},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17220717668533325},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.15855249762535095},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1570015847682953},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10252761840820312},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.09350907802581787}],"concepts":[{"id":"https://openalex.org/C2778736484","wikidata":"https://www.wikidata.org/wiki/Q491","display_name":"Friendship","level":2,"score":0.8788461685180664},{"id":"https://openalex.org/C4438859","wikidata":"https://www.wikidata.org/wiki/Q186117","display_name":"Timeline","level":2,"score":0.7943875789642334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6524127125740051},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.6123660206794739},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5485667586326599},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4785469174385071},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4213237166404724},{"id":"https://openalex.org/C149629883","wikidata":"https://www.wikidata.org/wiki/Q660926","display_name":"Fraction (chemistry)","level":2,"score":0.419075071811676},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3590537905693054},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.329914391040802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21506661176681519},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17220717668533325},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.15855249762535095},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1570015847682953},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10252761840820312},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.09350907802581787},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/comsnets.2017.7945453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets.2017.7945453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 9th International Conference on Communication Systems and Networks (COMSNETS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1518807168","https://openalex.org/W1928223220","https://openalex.org/W2015186536","https://openalex.org/W2055032349","https://openalex.org/W2090411710","https://openalex.org/W2142218197","https://openalex.org/W2166293769","https://openalex.org/W2186071116","https://openalex.org/W2188074705","https://openalex.org/W2265862919","https://openalex.org/W2266348216","https://openalex.org/W2291301591","https://openalex.org/W2544158810","https://openalex.org/W6693370502"],"related_works":["https://openalex.org/W1858249912","https://openalex.org/W2114034199","https://openalex.org/W4391249598","https://openalex.org/W2317428717","https://openalex.org/W2734259032","https://openalex.org/W3094038556","https://openalex.org/W2014772881","https://openalex.org/W4254228154","https://openalex.org/W3049477255","https://openalex.org/W4296345146"],"abstract_inverted_index":{"The":[0],"goal":[1],"of":[2,28,42,46,52,98,104,114,127],"this":[3,50],"paper":[4],"is":[5,38,74,82],"to":[6,56,67],"study":[7],"how":[8],"friendship":[9],"clusters":[10],"evolve":[11,57],"in":[12,78],"online":[13],"social":[14],"networks.":[15],"Results":[16],"obtained":[17],"from":[18,124],"our":[19],"work":[20],"on":[21,62,120],"Facebook":[22],"data":[23],"indicate":[24],"that":[25],"the":[26,43,63,96,110,115,121],"set":[27,51],"friends":[29,48,54],"who":[30],"actively":[31],"interact":[32],"during":[33],"a":[34,40,75,85,102,128],"particular":[35],"time":[36],"interval":[37],"only":[39],"fraction":[41],"total":[44],"number":[45,97],"listed":[47],"and":[49,92,112,132],"active":[53,70,117],"tends":[55],"with":[58],"time.":[59],"Interaction":[60],"footprints":[61],"timeline":[64],"are":[65,130],"used":[66],"cluster":[68,90,118],"such":[69],"friends.":[71],"Since":[72],"there":[73],"temporal":[76],"variation":[77],"these":[79],"clusters,":[80],"it":[81],"modeled":[83],"as":[84],"graph,":[86],"wherein":[87],"nodes":[88],"represent":[89,95],"memberships":[91],"edge":[93],"weights":[94],"common":[99],"members":[100],"between":[101],"pair":[103],"nodes.":[105],"Novel":[106],"methodologies":[107],"for":[108],"predicting":[109],"size":[111],"membership":[113],"next":[116],"based":[119],"features":[122],"extracted":[123],"past":[125],"interaction":[126],"user":[129],"introduced":[131],"their":[133],"performance":[134],"evaluated.":[135]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}