{"id":"https://openalex.org/W4410359203","doi":"https://doi.org/10.1109/icoin63865.2025.10993151","title":"Exploration Efficiency of Random Walks in Dynamic Graph","display_name":"Exploration Efficiency of Random Walks in Dynamic Graph","publication_year":2025,"publication_date":"2025-01-15","ids":{"openalex":"https://openalex.org/W4410359203","doi":"https://doi.org/10.1109/icoin63865.2025.10993151"},"language":"en","primary_location":{"id":"doi:10.1109/icoin63865.2025.10993151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icoin63865.2025.10993151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Information Networking (ICOIN)","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/A5117540416","display_name":"Daiki Nakagawa","orcid":null},"institutions":[{"id":"https://openalex.org/I206011266","display_name":"Kwansei Gakuin University","ror":"https://ror.org/02qf2tx24","country_code":"JP","type":"education","lineage":["https://openalex.org/I206011266"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Daiki Nakagawa","raw_affiliation_strings":["Kwansei Gakuin University,School of Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kwansei Gakuin University,School of Engineering","institution_ids":["https://openalex.org/I206011266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086942140","display_name":"Ryotaro Matsuo","orcid":null},"institutions":[{"id":"https://openalex.org/I31784960","display_name":"Fukuoka University","ror":"https://ror.org/04nt8b154","country_code":"JP","type":"education","lineage":["https://openalex.org/I31784960"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryotaro Matsuo","raw_affiliation_strings":["Fukuoka University,Faculty of Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fukuoka University,Faculty of Engineering","institution_ids":["https://openalex.org/I31784960"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018099452","display_name":"Hiroyuki Ohsaki","orcid":"https://orcid.org/0000-0003-0539-112X"},"institutions":[{"id":"https://openalex.org/I206011266","display_name":"Kwansei Gakuin University","ror":"https://ror.org/02qf2tx24","country_code":"JP","type":"education","lineage":["https://openalex.org/I206011266"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroyuki Ohsaki","raw_affiliation_strings":["Kwansei Gakuin University,School of Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kwansei Gakuin University,School of Engineering","institution_ids":["https://openalex.org/I206011266"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11799687,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"57","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9589999914169312,"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":0.9589999914169312,"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/T11106","display_name":"Data Management and Algorithms","score":0.9509000182151794,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11269","display_name":"Algorithms and Data Compression","score":0.9386000037193298,"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/random-walk","display_name":"Random walk","score":0.7783879041671753},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6153393387794495},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.41309791803359985},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36501649022102356},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24965959787368774},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15522360801696777}],"concepts":[{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.7783879041671753},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6153393387794495},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.41309791803359985},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36501649022102356},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24965959787368774},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15522360801696777}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icoin63865.2025.10993151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icoin63865.2025.10993151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Information Networking (ICOIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2997359955","https://openalex.org/W4210877985","https://openalex.org/W6759792120"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W1597743604","https://openalex.org/W2038723108","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"Random":[0],"walks":[1,29,136,148],"on":[2,11,27,45,67,80,106,137,149,161,189],"graphs":[3,12,32,47],"have":[4,22],"wide-ranging":[5],"applications,":[6],"including":[7],"target":[8],"node":[9],"search":[10,130,162],"and":[13,131,154,163],"structural":[14],"exploration":[15,132,164],"of":[16,63,76,96,100,102,109,134,146,158,175,177,184],"graphs.":[17,140],"In":[18,121],"recent":[19],"years,":[20],"analyses":[21],"been":[23,58,118],"conducted":[24],"not":[25,37,117],"only":[26],"random":[28,41,54,65,69,78,110,135,147,151,186],"over":[30,91],"static":[31,82],"(where":[33,48],"the":[34,40,49,53,61,86,94,97,107,113,129,144,156,173,178,181,185],"topology":[35,50],"does":[36],"evolve":[38],"during":[39,52],"walk)":[42],"but":[43],"also":[44],"dynamic":[46,104,139],"evolves":[51],"walk).":[55],"It":[56],"has":[57,116],"shown":[59],"that":[60,75,85,171],"behavior":[62],"a":[64,68,77,81,103,150,167],"walk":[66,79,187],"evolving":[70,152],"graph":[71,83,105,159,179],"is":[72],"similar":[73],"to":[74,126],"in":[84],"stationary":[87],"distribution":[88],"remains":[89],"unchanged":[90],"time.":[92],"However,":[93],"impact":[95,157],"dynamics":[98,160],"(rate":[99],"change)":[101],"characteristics":[108],"walks,":[111],"particularly":[112],"hitting":[114,182],"time,":[115],"fully":[119],"investigated.":[120],"this":[122],"paper,":[123],"we":[124,142,169],"aim":[125],"quantitatively":[127],"elucidate":[128],"efficiency":[133],"various":[138],"Specifically,":[141],"analyze":[143],"properties":[145],"graph,":[153],"examine":[155],"efficiency.":[165],"As":[166],"consequence,":[168],"show":[170],"as":[172],"rate":[174],"change":[176],"increases,":[180],"time":[183],"operating":[188],"it":[190],"decreases":[191],"rapidly.":[192]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}