{"id":"https://openalex.org/W7134943319","doi":"https://doi.org/10.1109/icdmw69685.2025.00288","title":"ChronoConnect: Tracking Pathways Along Highly Dynamic Vertices in Temporal Graphs","display_name":"ChronoConnect: Tracking Pathways Along Highly Dynamic Vertices in Temporal Graphs","publication_year":2025,"publication_date":"2025-11-12","ids":{"openalex":"https://openalex.org/W7134943319","doi":"https://doi.org/10.1109/icdmw69685.2025.00288"},"language":null,"primary_location":{"id":"doi:10.1109/icdmw69685.2025.00288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw69685.2025.00288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Data Mining Workshops (ICDMW)","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/A5121672876","display_name":"Jiacheng Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I94658018","display_name":"University of Memphis","ror":"https://ror.org/01cq23130","country_code":"US","type":"education","lineage":["https://openalex.org/I94658018"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jiacheng Ding","raw_affiliation_strings":["University of Memphis,United States"],"affiliations":[{"raw_affiliation_string":"University of Memphis,United States","institution_ids":["https://openalex.org/I94658018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081230016","display_name":"Christine C. Guo","orcid":"https://orcid.org/0000-0003-1530-0172"},"institutions":[{"id":"https://openalex.org/I94658018","display_name":"University of Memphis","ror":"https://ror.org/01cq23130","country_code":"US","type":"education","lineage":["https://openalex.org/I94658018"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cong Guo","raw_affiliation_strings":["University of Memphis,United States"],"affiliations":[{"raw_affiliation_string":"University of Memphis,United States","institution_ids":["https://openalex.org/I94658018"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100447045","display_name":"Xiaofei Zhang","orcid":"https://orcid.org/0000-0002-5605-6295"},"institutions":[{"id":"https://openalex.org/I94658018","display_name":"University of Memphis","ror":"https://ror.org/01cq23130","country_code":"US","type":"education","lineage":["https://openalex.org/I94658018"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaofei Zhang","raw_affiliation_strings":["University of Memphis,United States"],"affiliations":[{"raw_affiliation_string":"University of Memphis,United States","institution_ids":["https://openalex.org/I94658018"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5121672876"],"corresponding_institution_ids":["https://openalex.org/I94658018"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.77404194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2589","last_page":"2592"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.2939000129699707,"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":0.2939000129699707,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.15039999783039093,"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"}},{"id":"https://openalex.org/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.1362999975681305,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/tracking","display_name":"Tracking (education)","score":0.4277999997138977},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.28690001368522644},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.2809000015258789},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.24979999661445618}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5314000248908997},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4277999997138977},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35109999775886536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3239000141620636},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3197999894618988},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.30079999566078186},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.28690001368522644},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.2809000015258789},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.24979999661445618},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.2476000040769577}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdmw69685.2025.00288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw69685.2025.00288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Data Mining Workshops (ICDMW)","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":16,"referenced_works":["https://openalex.org/W2097805736","https://openalex.org/W2109603058","https://openalex.org/W2111708605","https://openalex.org/W2244843312","https://openalex.org/W2585835859","https://openalex.org/W2811294439","https://openalex.org/W2923015750","https://openalex.org/W2965545064","https://openalex.org/W2975090317","https://openalex.org/W3012623728","https://openalex.org/W3037819556","https://openalex.org/W4289533788","https://openalex.org/W4372348590","https://openalex.org/W4383749430","https://openalex.org/W4386916204","https://openalex.org/W4391807444"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,36,67,110,118,126],"proliferation":[2],"of":[3,77,90,113,123,128],"temporal":[4,37,52,55,91,138,171],"graph":[5,18,21,148],"data,":[6],"there":[7],"is":[8],"a":[9,46,74,88,159,170],"growing":[10],"demand":[11],"for":[12,147,162],"analyzing":[13],"information":[14,33,72,97,167],"propagation":[15],"patterns":[16],"during":[17],"evolution.":[19],"Existing":[20],"analysis":[22],"systems,":[23],"mostly":[24],"based":[25],"on":[26,80],"static":[27],"snapshots,":[28],"struggle":[29],"to":[30,59,94,108,157,164],"effectively":[31],"capture":[32],"flows":[34],"along":[35,133],"dimension.":[38],"To":[39],"address":[40],"this":[41],"challenge,":[42],"we":[43,141],"introduce":[44],"CHRONOCONNECT,":[45,81],"novel":[47],"system":[48],"that":[49,130],"enables":[50],"tracking":[51],"pathways":[53,69,132],"in":[54,70,137],"graph,":[56],"especially":[57],"beneficial":[58],"downstream":[60],"mining":[61],"tasks,":[62],"e.g.,":[63],"understanding":[64],"what":[65],"are":[66],"critical":[68],"propagating":[71],"towards":[73],"specific":[75],"group":[76],"vertices.":[78],"Built":[79],"users":[82,163],"can":[83],"conveniently":[84],"configure":[85],"and":[86,120,150],"execute":[87],"variety":[89],"traversal":[92],"algorithms":[93,129],"efficiently":[95],"analyze":[96],"diffusion":[98],"processes":[99],"under":[100],"time":[101],"constraints.":[102],"Moreover,":[103],"CHRONOCONNECT":[104,124,156],"utilizes":[105],"parallel":[106],"processing":[107],"tackle":[109],"explosive":[111],"size-growth":[112],"evolving":[114],"graphs.":[115,139],"We":[116,154],"showcase":[117],"effectiveness":[119],"enhanced":[121],"performance":[122],"through":[125],"implementation":[127],"track":[131],"highly":[134],"dynamic":[135],"vertices":[136],"Furthermore,":[140],"offer":[142],"an":[143],"interactive":[144],"user":[145],"interface":[146],"visualization":[149],"query":[151],"result":[152],"exploration.":[153],"envision":[155],"become":[158],"powerful":[160],"tool":[161],"examine":[165],"how":[166],"spreads":[168],"over":[169],"graph.":[172]},"counts_by_year":[],"updated_date":"2026-03-13T14:20:09.374765","created_date":"2026-03-12T00:00:00"}
