{"id":"https://openalex.org/W2055446587","doi":"https://doi.org/10.1109/scis-isis.2014.7044773","title":"Information flow clustering via similarity of a propagation tree","display_name":"Information flow clustering via similarity of a propagation tree","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2055446587","doi":"https://doi.org/10.1109/scis-isis.2014.7044773","mag":"2055446587"},"language":"en","primary_location":{"id":"doi:10.1109/scis-isis.2014.7044773","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scis-isis.2014.7044773","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS)","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/A5043078042","display_name":"Terunuma Naoki","orcid":null},"institutions":[{"id":"https://openalex.org/I141591182","display_name":"University of Aizu","ror":"https://ror.org/02pg0e883","country_code":"JP","type":"education","lineage":["https://openalex.org/I141591182"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoki Terunuma","raw_affiliation_strings":["University of Aizu Aizuwakamatsu, Fukushima, Japan","University of Aizu Aizuwakamatsu, Fukushima, 965-8580 Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Aizu Aizuwakamatsu, Fukushima, Japan","institution_ids":["https://openalex.org/I141591182"]},{"raw_affiliation_string":"University of Aizu Aizuwakamatsu, Fukushima, 965-8580 Japan","institution_ids":["https://openalex.org/I141591182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086967672","display_name":"Yuichi Yaguchi","orcid":"https://orcid.org/0000-0003-4929-4364"},"institutions":[{"id":"https://openalex.org/I141591182","display_name":"University of Aizu","ror":"https://ror.org/02pg0e883","country_code":"JP","type":"education","lineage":["https://openalex.org/I141591182"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuichi Yaguchi","raw_affiliation_strings":["University of Aizu Aizuwakamatsu, Fukushima, Japan","University of Aizu Aizuwakamatsu, Fukushima, 965-8580 Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Aizu Aizuwakamatsu, Fukushima, Japan","institution_ids":["https://openalex.org/I141591182"]},{"raw_affiliation_string":"University of Aizu Aizuwakamatsu, Fukushima, 965-8580 Japan","institution_ids":["https://openalex.org/I141591182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026370198","display_name":"Yutaka Watanobe","orcid":"https://orcid.org/0000-0002-0030-3859"},"institutions":[{"id":"https://openalex.org/I141591182","display_name":"University of Aizu","ror":"https://ror.org/02pg0e883","country_code":"JP","type":"education","lineage":["https://openalex.org/I141591182"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yutaka Watanobe","raw_affiliation_strings":["University of Aizu Aizuwakamatsu, Fukushima, Japan","University of Aizu Aizuwakamatsu, Fukushima, 965-8580 Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Aizu Aizuwakamatsu, Fukushima, Japan","institution_ids":["https://openalex.org/I141591182"]},{"raw_affiliation_string":"University of Aizu Aizuwakamatsu, Fukushima, 965-8580 Japan","institution_ids":["https://openalex.org/I141591182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112640795","display_name":"Ryuichi Oka","orcid":null},"institutions":[{"id":"https://openalex.org/I141591182","display_name":"University of Aizu","ror":"https://ror.org/02pg0e883","country_code":"JP","type":"education","lineage":["https://openalex.org/I141591182"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryuichi Oka","raw_affiliation_strings":["University of Aizu Aizuwakamatsu, Fukushima, Japan","University of Aizu Aizuwakamatsu, Fukushima, 965-8580 Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Aizu Aizuwakamatsu, Fukushima, Japan","institution_ids":["https://openalex.org/I141591182"]},{"raw_affiliation_string":"University of Aizu Aizuwakamatsu, Fukushima, 965-8580 Japan","institution_ids":["https://openalex.org/I141591182"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I141591182"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"96","issue":null,"first_page":"765","last_page":"768"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","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/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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/computer-science","display_name":"Computer science","score":0.7760167121887207},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7395938038825989},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.6461628675460815},{"id":"https://openalex.org/keywords/affinity-propagation","display_name":"Affinity propagation","score":0.5709066390991211},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5686033964157104},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5606677532196045},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44987359642982483},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4176537096500397},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35815858840942383},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28257688879966736},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.22574549913406372},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1312968134880066},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.12900462746620178}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7760167121887207},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7395938038825989},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.6461628675460815},{"id":"https://openalex.org/C109659709","wikidata":"https://www.wikidata.org/wiki/Q3407504","display_name":"Affinity propagation","level":5,"score":0.5709066390991211},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5686033964157104},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5606677532196045},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44987359642982483},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4176537096500397},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35815858840942383},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28257688879966736},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.22574549913406372},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1312968134880066},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.12900462746620178},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/scis-isis.2014.7044773","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scis-isis.2014.7044773","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1682770403","https://openalex.org/W2041670460","https://openalex.org/W2046210419","https://openalex.org/W2046340721","https://openalex.org/W2101196063","https://openalex.org/W2145822169","https://openalex.org/W2146138435","https://openalex.org/W2222512263","https://openalex.org/W2531284541"],"related_works":["https://openalex.org/W2113424041","https://openalex.org/W2065347048","https://openalex.org/W4367295867","https://openalex.org/W2548758474","https://openalex.org/W2382432689","https://openalex.org/W2551844785","https://openalex.org/W4388110928","https://openalex.org/W1999194110","https://openalex.org/W3025576849","https://openalex.org/W3041098777"],"abstract_inverted_index":{"Social":[0],"network":[1,31],"services":[2],"(SNSs)":[3],"serve":[4],"numerous":[5],"users":[6,102,117],"with":[7],"large":[8],"amounts":[9],"of":[10,12,45,60,64,74,95,101,138,152,168],"information":[11,18,65,120,170],"different":[13],"kinds.":[14],"On":[15],"an":[16,67],"SNS,":[17,68],"will":[19,145],"propagate":[20],"on":[21,66,173],"a":[22,29,39,61,75,122,153],"user":[23],"network,":[24],"which":[25,144],"is":[26,134,149],"represented":[27],"as":[28,38,69,71],"complex":[30],"in":[32,52,109],"general":[33],"but":[34],"can":[35],"be":[36],"reformed":[37],"tree":[40,88,97,172],"by":[41],"using":[42],"the":[43,58,72,93,110,130,136,139,150,160,165,179],"direction":[44],"propagation":[46,59,77,171,181],"and":[47,115],"allowing":[48],"duplication.":[49],"Our":[50],"goal":[51],"this":[53,83],"study":[54],"was":[55,175],"to":[56,91,107,128],"show":[57],"particular":[62],"kind":[63],"well":[70],"clustering":[73,180],"similar":[76,113,123,142,166],"scheme":[78],"for":[79,159,178],"each":[80,169],"user.":[81],"For":[82],"goal,":[84],"we":[85],"used":[86,156],"elastic":[87],"pattern":[89],"matching":[90],"calculate":[92],"similarity":[94],"two":[96],"structures.":[98],"A":[99],"set":[100],"are":[103,118],"propagated":[104],"from":[105,121],"source":[106],"destination":[108],"same":[111,140],"or":[112,141],"way,":[114],"these":[116],"given":[119],"source.":[124],"We":[125,155],"also":[126],"aimed":[127],"find":[129],"high-influence":[131],"person":[132],"who":[133],"at":[135],"start":[137],"propagation,":[143],"indicate":[146],"that":[147,164],"she/he":[148],"moderator":[151],"topic.":[154],"tumblr":[157,174],"data":[158],"experiment.":[161],"Findings":[162],"indicated":[163],"part":[167],"too":[176],"small":[177],"pattern.":[182]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}