{"id":"https://openalex.org/W4401330477","doi":"https://doi.org/10.1140/epjds/s13688-024-00492-z","title":"Empirically measuring online social influence","display_name":"Empirically measuring online social influence","publication_year":2024,"publication_date":"2024-08-05","ids":{"openalex":"https://openalex.org/W4401330477","doi":"https://doi.org/10.1140/epjds/s13688-024-00492-z"},"language":"en","primary_location":{"id":"doi:10.1140/epjds/s13688-024-00492-z","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-024-00492-z","pdf_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-024-00492-z","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","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/s13688-024-00492-z","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045232392","display_name":"Rohit Ram","orcid":"https://orcid.org/0000-0002-4080-6127"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]},{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Rohit Ram","raw_affiliation_strings":["Thaum, Canberra, Australia","University of Technology Sydney, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-4080-6127","affiliations":[{"raw_affiliation_string":"Thaum, Canberra, Australia","institution_ids":["https://openalex.org/I188329596"]},{"raw_affiliation_string":"University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069685493","display_name":"Marian-Andrei Rizoiu","orcid":"https://orcid.org/0000-0003-0381-669X"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Marian-Andrei Rizoiu","raw_affiliation_strings":["University of Technology Sydney, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5045232392"],"corresponding_institution_ids":["https://openalex.org/I114017466","https://openalex.org/I188329596"],"apc_list":{"value":1190,"currency":"GBP","value_usd":1459},"apc_paid":{"value":1190,"currency":"GBP","value_usd":1459},"fwci":1.9309,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.89424579,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"13","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9973999857902527,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6804478168487549},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.6495634317398071},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5266256928443909},{"id":"https://openalex.org/keywords/agency","display_name":"Agency (philosophy)","score":0.5226604342460632},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.4681530296802521},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.41793787479400635},{"id":"https://openalex.org/keywords/misinformation","display_name":"Misinformation","score":0.4175168573856354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4070599377155304},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3779222071170807},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.1319974958896637},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1267417073249817},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1207219660282135}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6804478168487549},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.6495634317398071},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5266256928443909},{"id":"https://openalex.org/C108170787","wikidata":"https://www.wikidata.org/wiki/Q3951828","display_name":"Agency (philosophy)","level":2,"score":0.5226604342460632},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.4681530296802521},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.41793787479400635},{"id":"https://openalex.org/C2776990098","wikidata":"https://www.wikidata.org/wiki/Q13579947","display_name":"Misinformation","level":2,"score":0.4175168573856354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4070599377155304},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3779222071170807},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.1319974958896637},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1267417073249817},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1207219660282135},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1140/epjds/s13688-024-00492-z","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-024-00492-z","pdf_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-024-00492-z","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2a1ad0353c054958a08afc8806725343","is_oa":false,"landing_page_url":"https://doaj.org/article/2a1ad0353c054958a08afc8806725343","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EPJ Data Science, Vol 13, Iss 1, Pp 1-18 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1140/epjds/s13688-024-00492-z","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-024-00492-z","pdf_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-024-00492-z","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6100000143051147}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320409","display_name":"Australian Academy of Science","ror":"https://ror.org/0186yvf62"},{"id":"https://openalex.org/F4320331403","display_name":"NSW Defence Innovation Network","ror":null},{"id":"https://openalex.org/F4320331703","display_name":"Department of Home Affairs","ror":"https://ror.org/00seaxa44"},{"id":"https://openalex.org/F4320335334","display_name":"Defence Science and Technology Group","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401330477.pdf"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W325761388","https://openalex.org/W1495198430","https://openalex.org/W1506738637","https://openalex.org/W1536425866","https://openalex.org/W1563324370","https://openalex.org/W1588819017","https://openalex.org/W1977578104","https://openalex.org/W1983268666","https://openalex.org/W2000626050","https://openalex.org/W2019976298","https://openalex.org/W2025702358","https://openalex.org/W2034415903","https://openalex.org/W2074184241","https://openalex.org/W2103322363","https://openalex.org/W2141708418","https://openalex.org/W2141923482","https://openalex.org/W2147167010","https://openalex.org/W2154747418","https://openalex.org/W2165890528","https://openalex.org/W2478527802","https://openalex.org/W2573430869","https://openalex.org/W2586390423","https://openalex.org/W2604561121","https://openalex.org/W2770081467","https://openalex.org/W2782290562","https://openalex.org/W2792550408","https://openalex.org/W2811222667","https://openalex.org/W2891320120","https://openalex.org/W2903158431","https://openalex.org/W2903434685","https://openalex.org/W2911248239","https://openalex.org/W2943732289","https://openalex.org/W3090759599","https://openalex.org/W3100467187","https://openalex.org/W3120536948","https://openalex.org/W3121797013","https://openalex.org/W3195137889","https://openalex.org/W4200358390","https://openalex.org/W4206786304","https://openalex.org/W4214907476","https://openalex.org/W4229801656","https://openalex.org/W4233290207","https://openalex.org/W4235295823","https://openalex.org/W4249331366","https://openalex.org/W4383163519","https://openalex.org/W4388144615","https://openalex.org/W6600755281","https://openalex.org/W6729404389","https://openalex.org/W6941258365"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W4384486036","https://openalex.org/W3197131596","https://openalex.org/W1503094549","https://openalex.org/W4390616380","https://openalex.org/W4388666321","https://openalex.org/W4205914924","https://openalex.org/W2337920774"],"abstract_inverted_index":{"Social":[0],"influence":[1,77,98,102,151,167,189],"pervades":[2],"our":[3,146,159],"everyday":[4],"lives":[5],"and":[6,20,33,39,46,50,60,78,107,122,173],"lays":[7],"the":[8,16,21,69,73,114,119,123,136,150,164,175,184],"foundation":[9],"for":[10,188],"complex":[11],"social":[12,76,97,179],"phenomena,":[13],"such":[14],"as":[15],"spread":[17],"of":[18,23,75,131,138,153,178],"misinformation":[19],"polarization":[22],"communities.":[24],"A":[25],"disconnect":[26],"appears":[27],"between":[28],"psychology":[29],"approaches,":[30],"generally":[31],"performed":[32],"tested":[34],"in":[35],"controlled":[36],"lab":[37],"experiments,":[38],"quantitative":[40],"methods,":[41],"which":[42],"are":[43,55],"usually":[44],"data-driven":[45],"rely":[47],"on":[48,118,141],"network":[49],"event":[51],"analysis.":[52],"The":[53],"former":[54],"slow,":[56],"expensive":[57],"to":[58,66,112,134,148],"deploy,":[59],"typically":[61],"do":[62],"not":[63],"generalize":[64],"well":[65],"topical":[67],"issues;":[68],"latter":[70],"often":[71],"oversimplify":[72],"complexities":[74],"ignore":[79],"psychosocial":[80],"literature.":[81],"This":[82],"work":[83],"bridges":[84],"this":[85],"gap":[86],"by":[87,99,161],"introducing":[88],"a":[89,129],"human-in-the-loop":[90],"active":[91],"learning":[92],"method":[93,147],"that":[94,163],"empirically":[95],"quantifies":[96],"crowdsourcing":[100],"pairwise":[101],"comparisons.":[103],"We":[104,127,144,157],"develop":[105],"simulation":[106],"fitting":[108],"tools,":[109],"allowing":[110],"us":[111],"estimate":[113,149],"required":[115],"budget":[116],"based":[117],"design":[120,139],"features":[121,140],"worker\u2019s":[124],"decision":[125],"accuracy.":[126,143],"perform":[128],"series":[130],"pilot":[132],"studies":[133],"quantify":[135],"impact":[137],"worker":[142],"deploy":[145],"ranking":[152],"500":[154],"X/Twitter":[155],"users.":[156],"validate":[158],"measure":[160],"showing":[162],"obtained":[165],"empirical":[166],"is":[168],"tightly":[169],"linked":[170],"with":[171,181],"agency":[172,182],"communion,":[174],"Big":[176],"Two":[177],"cognition,":[180],"being":[183],"most":[185],"important":[186],"dimension":[187],"formation.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}