{"id":"https://openalex.org/W4311524596","doi":"https://doi.org/10.1140/epjds/s13688-022-00373-3","title":"Remaining popular: power-law regularities in network dynamics","display_name":"Remaining popular: power-law regularities in network dynamics","publication_year":2022,"publication_date":"2022-12-15","ids":{"openalex":"https://openalex.org/W4311524596","doi":"https://doi.org/10.1140/epjds/s13688-022-00373-3"},"language":"en","primary_location":{"id":"doi:10.1140/epjds/s13688-022-00373-3","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-022-00373-3","pdf_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-022-00373-3","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-022-00373-3","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053754779","display_name":"Shahar Somin","orcid":"https://orcid.org/0009-0007-2400-9068"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]},{"id":"https://openalex.org/I4210142372","display_name":"Human Media","ror":"https://ror.org/04072nk43","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210142372"]}],"countries":["IL","US"],"is_corresponding":false,"raw_author_name":"Shahar Somin","raw_affiliation_strings":["Department of Industrial Engineering, Tel Aviv University, Tel Aviv, Israel","MIT Media Lab, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Tel Aviv University, Tel Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]},{"raw_affiliation_string":"MIT Media Lab, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210142372"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054642987","display_name":"Yaniv Altshuler","orcid":"https://orcid.org/0000-0002-3410-9587"},"institutions":[{"id":"https://openalex.org/I4210142372","display_name":"Human Media","ror":"https://ror.org/04072nk43","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210142372"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yaniv Altshuler","raw_affiliation_strings":["MIT Media Lab, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT Media Lab, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210142372"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007176508","display_name":"Alex Pentland","orcid":"https://orcid.org/0000-0002-8053-9983"},"institutions":[{"id":"https://openalex.org/I4210142372","display_name":"Human Media","ror":"https://ror.org/04072nk43","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210142372"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alex \u2018Sandy\u2019 Pentland","raw_affiliation_strings":["MIT Media Lab, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT Media Lab, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210142372"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075956753","display_name":"Erez Shmueli","orcid":"https://orcid.org/0000-0003-3193-5768"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]},{"id":"https://openalex.org/I4210142372","display_name":"Human Media","ror":"https://ror.org/04072nk43","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210142372"]}],"countries":["IL","US"],"is_corresponding":false,"raw_author_name":"Erez Shmueli","raw_affiliation_strings":["Department of Industrial Engineering, Tel Aviv University, Tel Aviv, Israel","MIT Media Lab, Cambridge, MA, USA"],"raw_orcid":"https://orcid.org/0000-0003-3193-5768","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Tel Aviv University, Tel Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]},{"raw_affiliation_string":"MIT Media Lab, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210142372"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1190,"currency":"GBP","value_usd":1459},"apc_paid":{"value":1190,"currency":"GBP","value_usd":1459},"fwci":0.6261,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.67201977,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"11","issue":"1","first_page":null,"last_page":null},"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":0.9998000264167786,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.9183515310287476},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6764143109321594},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.6102731227874756},{"id":"https://openalex.org/keywords/human-dynamics","display_name":"Human dynamics","score":0.5513569116592407},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5123211145401001},{"id":"https://openalex.org/keywords/power-law","display_name":"Power law","score":0.4998288154602051},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.48983070254325867},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4849739074707031},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4760667681694031},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4528627097606659},{"id":"https://openalex.org/keywords/network-dynamics","display_name":"Network dynamics","score":0.4416915774345398},{"id":"https://openalex.org/keywords/network-science","display_name":"Network science","score":0.4261520504951477},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.3850078880786896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.341389924287796},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.20781618356704712},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1908194124698639},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18661752343177795},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11951178312301636},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11926612257957458}],"concepts":[{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.9183515310287476},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6764143109321594},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.6102731227874756},{"id":"https://openalex.org/C151915977","wikidata":"https://www.wikidata.org/wiki/Q5937740","display_name":"Human dynamics","level":2,"score":0.5513569116592407},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5123211145401001},{"id":"https://openalex.org/C87040749","wikidata":"https://www.wikidata.org/wiki/Q428971","display_name":"Power law","level":2,"score":0.4998288154602051},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.48983070254325867},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4849739074707031},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4760667681694031},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4528627097606659},{"id":"https://openalex.org/C123757187","wikidata":"https://www.wikidata.org/wiki/Q9195957","display_name":"Network dynamics","level":2,"score":0.4416915774345398},{"id":"https://openalex.org/C137753397","wikidata":"https://www.wikidata.org/wiki/Q2434424","display_name":"Network science","level":3,"score":0.4261520504951477},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.3850078880786896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.341389924287796},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.20781618356704712},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1908194124698639},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18661752343177795},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11951178312301636},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11926612257957458},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1140/epjds/s13688-022-00373-3","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-022-00373-3","pdf_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-022-00373-3","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:98d44975eee54edab13ef00549be6e94","is_oa":true,"landing_page_url":"https://doaj.org/article/98d44975eee54edab13ef00549be6e94","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EPJ Data Science, Vol 11, Iss 1, Pp 1-14 (2022)","raw_type":"article"},{"id":"pmh:oai:dspace.mit.edu:1721.1/146908","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/146908","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Springer Berlin Heidelberg","raw_type":"http://purl.org/eprint/type/JournalArticle"}],"best_oa_location":{"id":"doi:10.1140/epjds/s13688-022-00373-3","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-022-00373-3","pdf_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-022-00373-3","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4311524596.pdf","grobid_xml":"https://content.openalex.org/works/W4311524596.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W37503093","https://openalex.org/W314054806","https://openalex.org/W564586781","https://openalex.org/W650289338","https://openalex.org/W1544632947","https://openalex.org/W1555893171","https://openalex.org/W1600633911","https://openalex.org/W1953975752","https://openalex.org/W1957199477","https://openalex.org/W1972309850","https://openalex.org/W1982300822","https://openalex.org/W1982508570","https://openalex.org/W1985366708","https://openalex.org/W1994687138","https://openalex.org/W2000042664","https://openalex.org/W2008620264","https://openalex.org/W2010421807","https://openalex.org/W2024453793","https://openalex.org/W2029965305","https://openalex.org/W2048287448","https://openalex.org/W2062021443","https://openalex.org/W2073689275","https://openalex.org/W2080769514","https://openalex.org/W2096296558","https://openalex.org/W2103169412","https://openalex.org/W2108432893","https://openalex.org/W2110919848","https://openalex.org/W2111708605","https://openalex.org/W2148606196","https://openalex.org/W2151078464","https://openalex.org/W2153410042","https://openalex.org/W2160154660","https://openalex.org/W2162439131","https://openalex.org/W2163480486","https://openalex.org/W2337604095","https://openalex.org/W2432978112","https://openalex.org/W2477490855","https://openalex.org/W2477752455","https://openalex.org/W2488133945","https://openalex.org/W2489178932","https://openalex.org/W2773050805","https://openalex.org/W2801103224","https://openalex.org/W2950627632","https://openalex.org/W2965478150","https://openalex.org/W2979783685","https://openalex.org/W2997134027","https://openalex.org/W3011609700","https://openalex.org/W3105576123","https://openalex.org/W3117341288","https://openalex.org/W3136588178","https://openalex.org/W4242067510","https://openalex.org/W4242708664","https://openalex.org/W4253778382","https://openalex.org/W4293215702","https://openalex.org/W6600960893"],"related_works":["https://openalex.org/W3007491431","https://openalex.org/W2111786937","https://openalex.org/W4210291460","https://openalex.org/W3157957316","https://openalex.org/W4384518057","https://openalex.org/W2999398081","https://openalex.org/W2393276407","https://openalex.org/W47470714","https://openalex.org/W2910533201","https://openalex.org/W3166476493"],"abstract_inverted_index":{"Abstract":[0],"The":[1],"structure":[2],"of":[3,23,67,82,88,140],"networks":[4,68],"has":[5],"been":[6],"a":[7,70,152],"focal":[8],"research":[9,17],"topic":[10],"over":[11],"the":[12,21,37,53,64,80],"past":[13],"few":[14],"decades.":[15],"These":[16],"efforts":[18],"have":[19,51],"enabled":[20],"discovery":[22],"numerous":[24],"structural":[25],"patterns":[26,40,50,66],"and":[27,47,91,155],"regularities,":[28],"bringing":[29],"forth":[30],"advancements":[31],"in":[32,42,63],"many":[33,57],"fields.":[34],"In":[35,75],"particular,":[36],"ubiquitous":[38],"power-law":[39,153,158],"evident":[41],"degree":[43],"distributions,":[44],"graph":[45],"eigenvalues":[46],"human":[48],"mobility":[49],"provided":[52],"opportunity":[54],"to":[55,113,121,133],"model":[56],"different":[58],"complex":[59],"systems.":[60],"However,":[61],"regularities":[62,159],"dynamical":[65],"remain":[69,114],"considerably":[71],"less":[72],"explored":[73],"terrain.":[74],"this":[76],"study":[77],"we":[78,100,143],"examine":[79],"dynamics":[81],"networks,":[83],"focusing":[84],"on":[85],"stability":[86],"characteristics":[87],"node":[89,165],"popularity,":[90],"present":[92],"our":[93],"results":[94],"using":[95],"various":[96],"empirical":[97],"datasets.":[98],"Specifically,":[99],"address":[101],"several":[102],"intriguing":[103],"questions":[104],"\u2013":[105],"for":[106,137],"how":[107],"long":[108,138],"are":[109,149,160],"popular":[110],"nodes":[111,130],"expected":[112,120],"so?":[115],"How":[116],"much":[117],"time":[118],"is":[119],"pass":[122],"between":[123],"two":[124],"consecutive":[125],"popularity":[126,136],"periods?":[127],"What":[128],"characterizes":[129],"which":[131],"manage":[132],"maintain":[134],"their":[135],"periods":[139],"time?":[141],"Surprisingly,":[142],"find":[144],"that":[145,156],"such":[146],"temporal":[147],"aspects":[148],"governed":[150],"by":[151],"regime,":[154],"these":[157],"equally":[161],"likely":[162],"across":[163],"all":[164],"ages.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-19T17:40:00.097472","created_date":"2025-10-10T00:00:00"}
