{"id":"https://openalex.org/W2126745852","doi":"https://doi.org/10.1145/2688073.2688110","title":"Complex Contagions in Kleinberg's Small World Model","display_name":"Complex Contagions in Kleinberg's Small World Model","publication_year":2015,"publication_date":"2015-01-11","ids":{"openalex":"https://openalex.org/W2126745852","doi":"https://doi.org/10.1145/2688073.2688110","mag":"2126745852"},"language":"en","primary_location":{"id":"doi:10.1145/2688073.2688110","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2688073.2688110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Conference on Innovations in Theoretical Computer Science","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/A5075694646","display_name":"Roozbeh Ebrahimi","orcid":null},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Roozbeh Ebrahimi","raw_affiliation_strings":["Stony Brook University, Stony Brook, NY, USA"],"affiliations":[{"raw_affiliation_string":"Stony Brook University, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037226596","display_name":"Jie Gao","orcid":"https://orcid.org/0000-0001-5083-6082"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jie Gao","raw_affiliation_strings":["Stony Brook University, Stony Brook, NY, USA"],"affiliations":[{"raw_affiliation_string":"Stony Brook University, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016316071","display_name":"Golnaz Ghasemiesfeh","orcid":null},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Golnaz Ghasemiesfeh","raw_affiliation_strings":["Stony Brook University, Stony Brook, NY, USA"],"affiliations":[{"raw_affiliation_string":"Stony Brook University, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073672615","display_name":"Grant Schoenebeck","orcid":"https://orcid.org/0000-0001-6878-0670"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Grant Schoenebeck","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5075694646"],"corresponding_institution_ids":["https://openalex.org/I59553526"],"apc_list":null,"apc_paid":null,"fwci":1.6664,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.83963782,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"63","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":1.0,"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":1.0,"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":0.9994000196456909,"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/T13283","display_name":"Mental Health Research Topics","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.619665265083313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3209719955921173}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.619665265083313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3209719955921173}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2688073.2688110","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2688073.2688110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Conference on Innovations in Theoretical Computer Science","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5356001764","display_name":null,"funder_award_id":"FA9550-14-1-0193","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G7321924470","display_name":null,"funder_award_id":"DMS-1221339, DMS-1418255, CNS-1217823, CCF-1114809, CCF-1217708, IIS-1247726, IIS-1251137, CNS-1408695, CCF-1439084","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320308737","display_name":"Facebook","ror":"https://ror.org/01zbnvs85"},{"id":"https://openalex.org/F4320309327","display_name":"Google","ror":"https://ror.org/00njsd438"},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W138115443","https://openalex.org/W1584575186","https://openalex.org/W2008620264","https://openalex.org/W2027508917","https://openalex.org/W2032332507","https://openalex.org/W2041157860","https://openalex.org/W2083649025","https://openalex.org/W2089579808","https://openalex.org/W2093201486","https://openalex.org/W2093333397","https://openalex.org/W2112090702","https://openalex.org/W2128678576","https://openalex.org/W2130863673","https://openalex.org/W2141830959","https://openalex.org/W2145446394","https://openalex.org/W2150208547","https://openalex.org/W2154262598","https://openalex.org/W2156020699","https://openalex.org/W2156051808","https://openalex.org/W2394755818","https://openalex.org/W4206817834","https://openalex.org/W4238955406","https://openalex.org/W4249635450"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2093578348","https://openalex.org/W2376932109","https://openalex.org/W2382290278","https://openalex.org/W2766271392","https://openalex.org/W2350741829","https://openalex.org/W3107474891"],"abstract_inverted_index":{"Complex":[0],"contagions":[1,56,82,88,100,111,150],"describe":[2],"diffusion":[3],"of":[4,27,64,78,80,133,148],"behaviors":[5],"in":[6,10,37,83,93,112,143],"a":[7,22,25,125,134],"social":[8,84],"network":[9],"settings":[11],"where":[12,118],"spreading":[13,79],"requires":[14],"influence":[15],"by":[16],"two":[17,135],"or":[18,69],"more":[19],"neighbors.":[20,49],"In":[21],"k-complex":[23],"contagion,":[24],"cluster":[26],"nodes":[28,34],"are":[29,120],"initially":[30],"infected,":[31],"and":[32],"additional":[33],"become":[35],"infected":[36,48],"the":[38,146],"next":[39],"round":[40],"if":[41],"they":[42],"have":[43],"at":[44],"least":[45],"k":[46],"already":[47],"It":[50,139],"has":[51,74,140],"been":[52,141],"argued":[53],"that":[54,90,145],"complex":[55,81,99,110,149],"better":[57],"model":[58,116],"behavioral":[59],"changes":[60],"such":[61],"as":[62],"adoption":[63],"new":[65],"beliefs,":[66],"fashion":[67],"trends":[68],"expensive":[70],"technology":[71],"innovations.":[72],"This":[73],"motivated":[75],"rigorous":[76],"understanding":[77],"networks.":[85],"Despite":[86],"simple":[87],"(k=1)":[89],"spread":[91,101],"fast":[92],"all":[94],"small":[95,114],"world":[96,115],"graphs,":[97],"how":[98],"is":[102],"much":[103],"less":[104],"understood.":[105],"Previous":[106],"work":[107],"[11]":[108,144],"analyzes":[109],"Kleinberg's":[113],"[14]":[117],"edges":[119],"randomly":[121],"added":[122],"according":[123],"to":[124,156],"spatial":[126],"distribution":[127],"(with":[128],"exponent":[129],"\u03b3)":[130],"on":[131],"top":[132],"dimensional":[136],"grid":[137],"structure.":[138],"shown":[142],"speed":[147],"differs":[151],"exponentially":[152],"when":[153,157],"\u03b3=0":[154],"compared":[155],"\u03b3=2.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
