{"id":"https://openalex.org/W2791856445","doi":"https://doi.org/10.1145/3151759.3151792","title":"Graph generation method based on relative value of neighbor edges","display_name":"Graph generation method based on relative value of neighbor edges","publication_year":2017,"publication_date":"2017-12-04","ids":{"openalex":"https://openalex.org/W2791856445","doi":"https://doi.org/10.1145/3151759.3151792","mag":"2791856445"},"language":"en","primary_location":{"id":"doi:10.1145/3151759.3151792","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3151759.3151792","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th International Conference on Information Integration and Web-based Applications & Services","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/A5003843907","display_name":"Kazufumi Inafuku","orcid":"https://orcid.org/0000-0002-3122-3771"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kazufumi Inafuku","raw_affiliation_strings":["University of Tsukuba, Tsukuba, Ibarakaki, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Tsukuba, Ibarakaki, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053021349","display_name":"Takayasu Fushimi","orcid":"https://orcid.org/0000-0003-3448-8182"},"institutions":[{"id":"https://openalex.org/I148798404","display_name":"Tokyo University of Technology","ror":"https://ror.org/021a26605","country_code":"JP","type":"education","lineage":["https://openalex.org/I148798404"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takayasu Fushimi","raw_affiliation_strings":["Tokyo University of Technology, Hachiouji, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Technology, Hachiouji, Tokyo, Japan","institution_ids":["https://openalex.org/I148798404"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110339892","display_name":"Tetsuji Satoh","orcid":null},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuji Satoh","raw_affiliation_strings":["University of Tsukuba, Tsukuba, Ibarakaki, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Tsukuba, Ibarakaki, Japan","institution_ids":["https://openalex.org/I146399215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003843907"],"corresponding_institution_ids":["https://openalex.org/I146399215"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20959023,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"358","last_page":"365"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9767000079154968,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/graph","display_name":"Graph","score":0.5534110069274902},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.5282518267631531},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5061933398246765},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34502702951431274},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32011187076568604},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2525768280029297}],"concepts":[{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5534110069274902},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.5282518267631531},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5061933398246765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34502702951431274},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32011187076568604},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2525768280029297},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3151759.3151792","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3151759.3151792","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th International Conference on Information Integration and Web-based Applications & Services","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320327550","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1520003352","https://openalex.org/W1893639437","https://openalex.org/W1922358015","https://openalex.org/W1926744689","https://openalex.org/W1987097053","https://openalex.org/W2041361001","https://openalex.org/W2083809487","https://openalex.org/W2092268393","https://openalex.org/W2094908976","https://openalex.org/W2106603979","https://openalex.org/W2111094216","https://openalex.org/W2138621811","https://openalex.org/W2196959810","https://openalex.org/W2588413510","https://openalex.org/W3101637956","https://openalex.org/W3103926008"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2163296013","https://openalex.org/W2743859443","https://openalex.org/W2326995835","https://openalex.org/W165915117","https://openalex.org/W2059402478","https://openalex.org/W2123347777","https://openalex.org/W4387804363","https://openalex.org/W2963326767"],"abstract_inverted_index":{"The":[0],"most":[1],"common":[2],"method":[3,32,52],"of":[4,12,33,41,49,102,133,141,159],"data":[5],"mining":[6],"is":[7,16,83,107],"based":[8],"on":[9],"the":[10,31,47,55,100,124,154],"idea":[11],"\"frequent":[13],"appearance":[14,131,139],"event":[15],"important\".":[17],"However,":[18],"low-frequent":[19,157],"events":[20],"also":[21],"contain":[22],"valuable":[23],"knowledge.":[24],"To":[25],"solve":[26],"this":[27,116],"problem,":[28],"we":[29,45,61,98,118,147],"propose":[30],"generating":[34],"a":[35,63,67,73,80,108,145],"graph":[36,65,96],"for":[37,76],"extracting":[38],"knowledge":[39],"regardless":[40],"frequency.":[42],"In":[43,115],"additions,":[44],"confirm":[46],"validity":[48],"our":[50],"proposed":[51],"and":[53,79],"discuss":[54],"result":[56],"obtained":[57],"from":[58,156],"it.":[59],"First,":[60],"construct":[62],"directed":[64],"called":[66],"purchase":[68],"history":[69],"graphs":[70],"(PHGs),":[71],"where":[72],"node":[74],"stands":[75],"an":[77],"item":[78],"directional":[81],"edge":[82],"added":[84],"between":[85],"successively":[86],"purchased":[87],"two":[88,120],"items":[89],"in":[90,111,153],"chronological":[91],"order.":[92],"Second,":[93],"to":[94],"grasp":[95],"features,":[97],"enumerate":[99],"number":[101],"3-node":[103],"motif":[104],"patterns,":[105],"which":[106],"well-known":[109],"notion":[110],"complex":[112],"network":[113],"science.":[114],"paper,":[117],"compare":[119],"PHGs":[121,128],"constructed":[122],"with":[123],"different":[125],"method;":[126],"1)":[127],"filtered":[129,136],"by":[130,137],"frequency":[132,140],"edges.":[134,143],"2)PHGs":[135],"relative":[138],"neighbor":[142],"As":[144],"result,":[146],"extracted":[148],"products":[149],"that":[150],"may":[151],"grow":[152],"future":[155],"part":[158],"PHGs.":[160]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}