{"id":"https://openalex.org/W2809859485","doi":"https://doi.org/10.1109/fskd.2017.8393121","title":"The comparison of four methods in finding influential spreader in social network","display_name":"The comparison of four methods in finding influential spreader in social network","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2809859485","doi":"https://doi.org/10.1109/fskd.2017.8393121","mag":"2809859485"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2017.8393121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","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/A5010595262","display_name":"Baozhang Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I12615008","display_name":"Beijing Normal University - Hong Kong Baptist University United International College","ror":"https://ror.org/04snvc712","country_code":"CN","type":"education","lineage":["https://openalex.org/I12615008"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Baozhang Ren","raw_affiliation_strings":["Statistics Department, United International College, Zhuhai, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Statistics Department, United International College, Zhuhai, Guangdong, China","institution_ids":["https://openalex.org/I12615008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101898906","display_name":"Yuhui Deng","orcid":"https://orcid.org/0009-0009-5090-6349"},"institutions":[{"id":"https://openalex.org/I12615008","display_name":"Beijing Normal University - Hong Kong Baptist University United International College","ror":"https://ror.org/04snvc712","country_code":"CN","type":"education","lineage":["https://openalex.org/I12615008"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Hui Deng","raw_affiliation_strings":["Statistics Department, BNU-HKBU, United International College, Zhuhai, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Statistics Department, BNU-HKBU, United International College, Zhuhai, Guangdong, China","institution_ids":["https://openalex.org/I12615008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022294786","display_name":"Ping He","orcid":"https://orcid.org/0000-0002-1962-8071"},"institutions":[{"id":"https://openalex.org/I12615008","display_name":"Beijing Normal University - Hong Kong Baptist University United International College","ror":"https://ror.org/04snvc712","country_code":"CN","type":"education","lineage":["https://openalex.org/I12615008"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping He","raw_affiliation_strings":["Statistics Department, United International College, Zhuhai, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Statistics Department, United International College, Zhuhai, Guangdong, China","institution_ids":["https://openalex.org/I12615008"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046601405","display_name":"Kang-Too Tsang","orcid":null},"institutions":[{"id":"https://openalex.org/I12615008","display_name":"Beijing Normal University - Hong Kong Baptist University United International College","ror":"https://ror.org/04snvc712","country_code":"CN","type":"education","lineage":["https://openalex.org/I12615008"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang-Too Tsang","raw_affiliation_strings":["Statistics Department, United International College, Zhuhai, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Statistics Department, United International College, Zhuhai, Guangdong, China","institution_ids":["https://openalex.org/I12615008"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5010595262"],"corresponding_institution_ids":["https://openalex.org/I12615008"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2222943,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2254","last_page":"2261"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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":0.9898999929428101,"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":0.665011465549469},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.5820966958999634},{"id":"https://openalex.org/keywords/pagerank","display_name":"PageRank","score":0.5720080137252808},{"id":"https://openalex.org/keywords/betweenness-centrality","display_name":"Betweenness centrality","score":0.5338142514228821},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5038339495658875},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4678685665130615},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.43977367877960205},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1815119981765747},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14861536026000977},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13278985023498535},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10472622513771057},{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.09478902816772461}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.665011465549469},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.5820966958999634},{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.5720080137252808},{"id":"https://openalex.org/C117045392","wikidata":"https://www.wikidata.org/wiki/Q4899215","display_name":"Betweenness centrality","level":3,"score":0.5338142514228821},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5038339495658875},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4678685665130615},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.43977367877960205},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1815119981765747},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14861536026000977},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13278985023498535},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10472622513771057},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.09478902816772461},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2017.8393121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1603540962","https://openalex.org/W1975583660","https://openalex.org/W2133131640","https://openalex.org/W2152255412","https://openalex.org/W3099778492","https://openalex.org/W6636344139"],"related_works":["https://openalex.org/W1516497519","https://openalex.org/W2356738361","https://openalex.org/W2012724202","https://openalex.org/W2018003970","https://openalex.org/W1990099325","https://openalex.org/W2546988926","https://openalex.org/W2388408267","https://openalex.org/W2476079015","https://openalex.org/W2556086418","https://openalex.org/W2747027460"],"abstract_inverted_index":{"With":[0,23],"the":[1,21,24,41,50,53,111,131,137,149,157,161,168,176,183,189,197,227],"prevalence":[2],"of":[3,26,52,102,148,163,178,230],"smart":[4],"phone":[5],"and":[6,17,38,86,90,115,166,191,218],"Internet,":[7],"social":[8,27,42,61],"media":[9,43],"have":[10,76,196],"been":[11,77],"developing":[12],"both":[13,83],"its":[14,18,231],"customer":[15],"base":[16],"impact":[19],"on":[20,30,40,82],"society.":[22],"use":[25,92],"media's":[28],"influence":[29],"people,":[31],"companies":[32],"begin":[33],"to":[34,48,56,70,79,95,119],"advertise":[35],"their":[36,97],"product":[37],"services":[39],"platform.":[44],"Therefore,":[45],"in":[46,60,125,130,210,226],"order":[47],"guarantee":[49],"effect":[51],"advertisement,":[54],"methods":[55,74,109,139,217],"find":[57],"influential":[58,113,143,164],"spreaders":[59,114],"network":[62,85,104,132,159,170,228],"are":[63],"proposed.":[64],"In":[65],"this":[66],"paper,":[67],"we":[68,186],"aim":[69],"compare":[71],"four":[72,108,138],"different":[73,142,150],"that":[75,106,156,188,195,206],"proved":[78],"be":[80,120],"efficient,":[81],"simulated":[84,153,158,169],"real":[87],"life":[88],"network,":[89],"then":[91],"SIR":[93,127,184],"model":[94],"propagate":[96],"diffusion":[98],"process.":[99],"The":[100,145],"results":[101,151],"simulation":[103],"show":[105],"all":[107,140],"produced":[110,141,220],"same":[112],"it":[116],"was":[117],"proven":[118],"a":[121,126,179,211],"good":[122],"initial":[123],"spreader":[124],"model.":[128],"However,":[129],"generated":[133],"from":[134,152],"Sina":[135],"Weibo,":[136],"spreader.":[144],"possible":[146],"cause":[147],"result":[154],"is":[155],"neglects":[160],"cohesion":[162],"nodes":[165,194,205,209,219],"therefore,":[167],"will":[171],"value":[172],"degree":[173,190],"more":[174],"than":[175,215],"position":[177],"node.":[180],"After":[181],"applying":[182],"model,":[185],"found":[187],"betweenness":[192],"produce":[193],"highest":[198],"infection":[199,233],"number":[200],"while":[201],"K-core":[202],"decomposition":[203],"produces":[204],"can":[207,223],"reach":[208,224],"further":[212],"distance":[213],"faster":[214],"other":[216],"by":[221],"PageRank":[222],"farther":[225],"despite":[229],"less":[232],"number.":[234]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
