{"id":"https://openalex.org/W3197802535","doi":"https://doi.org/10.18293/seke2021-027","title":"Influence Maximization with Consideration of PageRank Centrality and Propagation Probability","display_name":"Influence Maximization with Consideration of PageRank Centrality and Propagation Probability","publication_year":2021,"publication_date":"2021-07-07","ids":{"openalex":"https://openalex.org/W3197802535","doi":"https://doi.org/10.18293/seke2021-027","mag":"3197802535"},"language":"en","primary_location":{"id":"doi:10.18293/seke2021-027","is_oa":true,"landing_page_url":"https://doi.org/10.18293/seke2021-027","pdf_url":"https://doi.org/10.18293/seke2021-027","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.18293/seke2021-027","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101981863","display_name":"Qi Chen","orcid":"https://orcid.org/0000-0001-5195-8516"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qi Chen","raw_affiliation_strings":["Inner Mongolia Key Laboratory of Mongolian Information Processing Technology College of Computer Science, Inner Mongolia University Hohhot, China"],"affiliations":[{"raw_affiliation_string":"Inner Mongolia Key Laboratory of Mongolian Information Processing Technology College of Computer Science, Inner Mongolia University Hohhot, China","institution_ids":["https://openalex.org/I2722730"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101981863"],"corresponding_institution_ids":["https://openalex.org/I2722730"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13383826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2021","issue":null,"first_page":"393","last_page":"398"},"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":0.9939000010490417,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9675999879837036,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pagerank","display_name":"PageRank","score":0.8698849081993103},{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.8317276835441589},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7823212742805481},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.7038966417312622},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5177692174911499},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4347856342792511},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3696410059928894},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3241269886493683},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3142009973526001},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11940878629684448},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06863400340080261}],"concepts":[{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.8698849081993103},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.8317276835441589},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7823212742805481},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.7038966417312622},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5177692174911499},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4347856342792511},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3696410059928894},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3241269886493683},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3142009973526001},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11940878629684448},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06863400340080261}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18293/seke2021-027","is_oa":true,"landing_page_url":"https://doi.org/10.18293/seke2021-027","pdf_url":"https://doi.org/10.18293/seke2021-027","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18293/seke2021-027","is_oa":true,"landing_page_url":"https://doi.org/10.18293/seke2021-027","pdf_url":"https://doi.org/10.18293/seke2021-027","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5249178904","display_name":null,"funder_award_id":"Grant No. 6","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7380972868","display_name":null,"funder_award_id":"61866029","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3197802535.pdf","grobid_xml":"https://content.openalex.org/works/W3197802535.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1976546072","https://openalex.org/W1984069252","https://openalex.org/W2056609785","https://openalex.org/W2061820396","https://openalex.org/W2108858998","https://openalex.org/W2141403143","https://openalex.org/W2160411082","https://openalex.org/W2766991906","https://openalex.org/W2767076025","https://openalex.org/W2771290394","https://openalex.org/W2808002135","https://openalex.org/W2990652644","https://openalex.org/W3016102920","https://openalex.org/W3038659392","https://openalex.org/W3098653061","https://openalex.org/W3104873138","https://openalex.org/W4232212779","https://openalex.org/W4250427377","https://openalex.org/W4301131062","https://openalex.org/W6680910322"],"related_works":["https://openalex.org/W2154222238","https://openalex.org/W2913425789","https://openalex.org/W2905200617","https://openalex.org/W2788040429","https://openalex.org/W1967232009","https://openalex.org/W4302136133","https://openalex.org/W2964025114","https://openalex.org/W2887986896","https://openalex.org/W2953330010","https://openalex.org/W3082083992"],"abstract_inverted_index":{"Influence":[0],"Maximization":[1],"(IM)":[2],"problem":[3],"has":[4],"been":[5],"attracted":[6],"considerable":[7],"interest":[8],"and":[9,75,79],"attention":[10],"in":[11,112],"last":[12],"decades.":[13],"However,":[14],"the":[15,26,40,45,50,55,64,102,109,113],"centrality":[16],"algorithm-based":[17],"methods":[18],"were":[19],"with":[20,86],"low":[21],"time":[22],"complexity":[23],"but":[24],"made":[25],"acceptability":[27],"of":[28,34,82,115],"diffusion":[29],"vaguely.":[30],"The":[31],"main":[32],"purpose":[33],"our":[35],"work":[36],"is":[37],"to":[38,44,48,90],"select":[39],"influential":[41],"nodes":[42],"according":[43],"available":[46],"budget":[47],"maximize":[49],"impact":[51],"coverage.":[52],"Based":[53],"on":[54,73,97],"traditional":[56],"independent":[57],"cascade":[58],"model,":[59],"this":[60],"paper":[61],"mainly":[62],"solves":[63],"IM":[65],"problem,":[66],"designs":[67],"two":[68,103],"effective":[69],"PRTH":[70,83],"algorithms":[71,104,111],"based":[72],"PageRank":[74,81],"propagation":[76],"probability":[77],"threshold,":[78],"combines":[80],"processed":[84],"graph":[85],"degree":[87],"discount":[88],"algorithm":[89,93],"get":[91],"an":[92],"named":[94],"PRDD.":[95],"Experiments":[96],"four":[98],"datasets":[99],"show":[100],"that":[101],"have":[105],"better":[106],"performance":[107],"than":[108],"existing":[110],"aspect":[114],"influence":[116],"diffusion.":[117]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
