{"id":"https://openalex.org/W2898421102","doi":"https://doi.org/10.1109/asonam.2018.8508310","title":"Mining and Modeling Complex Leadership Dynamics of Movement data","display_name":"Mining and Modeling Complex Leadership Dynamics of Movement data","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2898421102","doi":"https://doi.org/10.1109/asonam.2018.8508310","mag":"2898421102"},"language":"en","primary_location":{"id":"doi:10.1109/asonam.2018.8508310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2018.8508310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5007113918","display_name":"Chainarong Amornbunchornvej","orcid":"https://orcid.org/0000-0003-3131-0370"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chainarong Amornbunchornvej","raw_affiliation_strings":["Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060005215","display_name":"Tanya Berger\u2010Wolf","orcid":"https://orcid.org/0000-0001-7610-1412"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tanya Y. Berger-Wolf","raw_affiliation_strings":["Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I39422238"],"apc_list":null,"apc_paid":null,"fwci":0.3396,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.54124694,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"433","issue":null,"first_page":"447","last_page":"454"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9908999800682068,"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":0.9908999800682068,"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/T11252","display_name":"Evolutionary Game Theory and Cooperation","score":0.9869999885559082,"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"}},{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9803000092506409,"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":0.6485898494720459},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6198632717132568},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6012167930603027},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5985938310623169},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.5894798040390015},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.46565181016921997},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30466923117637634},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09387868642807007},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.08440849184989929}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6485898494720459},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6198632717132568},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6012167930603027},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5985938310623169},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.5894798040390015},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.46565181016921997},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30466923117637634},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09387868642807007},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.08440849184989929},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asonam.2018.8508310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2018.8508310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W831804809","https://openalex.org/W1827315716","https://openalex.org/W1862938747","https://openalex.org/W1920902537","https://openalex.org/W1975318518","https://openalex.org/W1980435364","https://openalex.org/W2051796301","https://openalex.org/W2060297659","https://openalex.org/W2061820396","https://openalex.org/W2102212264","https://openalex.org/W2110893883","https://openalex.org/W2125838338","https://openalex.org/W2128160875","https://openalex.org/W2133066471","https://openalex.org/W2134587001","https://openalex.org/W2157704368","https://openalex.org/W2166481425","https://openalex.org/W2166559705","https://openalex.org/W2171848690","https://openalex.org/W2289596776","https://openalex.org/W2801831752","https://openalex.org/W3148747454","https://openalex.org/W3150565720","https://openalex.org/W4247128285","https://openalex.org/W4252684946","https://openalex.org/W4255375128"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W2101155126","https://openalex.org/W2043093291","https://openalex.org/W2363545964"],"abstract_inverted_index":{"Leadership":[0,92],"is":[1,18,61],"an":[2],"essential":[3],"part":[4],"of":[5,29,57,80,103,118,133,148,168,175,227,253],"collective":[6,49],"decision":[7],"and":[8,20,48,76,144,190],"organization":[9],"in":[10,51,209,255],"social":[11],"animals,":[12],"including":[13],"humans.":[14],"In":[15,69],"nature,":[16],"leadership":[17,67,81,116,124,149,194,228,254],"dynamic":[19,66],"varies":[21],"with":[22,230],"context":[23],"or":[24,37],"temporal":[25],"factors.":[26],"Understanding":[27],"dynamics":[28,117,229,252],"leadership,":[30],"such":[31],"as":[32,94,96,100,161,163],"how":[33],"leaders":[34,134],"change,":[35],"emerge,":[36],"converge,":[38],"allows":[39],"scientists":[40,241],"to":[41,63,111,128,142,171,183,197,218,242],"gain":[42],"more":[43],"insight":[44],"into":[45],"group":[46,119],"decision-making":[47],"behavior":[50],"general.":[52],"However,":[53],"given":[54],"only":[55],"data":[56],"individual":[58],"activities,":[59],"it":[60],"challenging":[62],"infer":[64,129],"these":[65],"events.":[68],"this":[70,104,185,207],"paper,":[71],"we":[72,188,213],"focus":[73],"on":[74],"mining":[75],"modeling":[77],"frequent":[78,146,225],"patterns":[79,147,226],"dynamics.":[82,150],"We":[83,121,151],"formalize":[84],"a":[85,98,101,199,216],"new":[86],"computational":[87],"problem,":[88,186],"Mining":[89],"Patterns":[90],"Of":[91],"Dynamics,":[93],"well":[95,162],"propose":[97,139,215],"framework":[99,107,154,196,203,236],"solution":[102],"problem.":[105],"Our":[106,202,235],"can":[108,247],"be":[109,248],"used":[110],"address":[112,184],"several":[113,158],"questions":[114],"regarding":[115,251],"movement.":[120],"use":[122],"the":[123,130,140,165,173,192,238],"inference":[125,195],"framework,":[126],"mFLICA,":[127],"time":[131],"series":[132],"from":[135],"movement":[136,170,256],"datasets,":[137,160],"then":[138],"approach":[141],"mine":[143],"model":[145],"evaluate":[152],"our":[153,176,231],"performance":[155],"by":[156],"using":[157,164],"simulated":[159],"real-world":[166],"dataset":[167],"baboon":[169],"demonstrate":[172],"application":[174],"framework.":[177],"There":[178],"are":[179],"no":[180],"existing":[181,193],"methods":[182],"thus,":[187],"modify":[189],"extend":[191],"provide":[198],"non-trivial":[200],"baseline.":[201],"performs":[204],"better":[205],"than":[206],"baseline":[208],"all":[210],"datasets.":[211],"Moreover,":[212],"also":[214],"method":[217],"perform":[219],"statistical":[220],"significance":[221],"tests,":[222],"comparing":[223],"inferred":[224],"proposed":[232],"null":[233],"hypotheses.":[234],"opens":[237],"opportunities":[239],"for":[240],"generate":[243],"scientific":[244],"hypotheses":[245],"that":[246],"tested":[249],"statistically":[250],"data.":[257]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}