{"id":"https://openalex.org/W7084141644","doi":"https://doi.org/10.1109/icbc64466.2025.11114602","title":"Enhancing Meme Token Market Transparency: A Multi-Dimensional Entity-Linked Address Analysis for Liquidity Risk Evaluation","display_name":"Enhancing Meme Token Market Transparency: A Multi-Dimensional Entity-Linked Address Analysis for Liquidity Risk Evaluation","publication_year":2025,"publication_date":"2025-06-02","ids":{"openalex":"https://openalex.org/W7084141644","doi":"https://doi.org/10.1109/icbc64466.2025.11114602"},"language":"en","primary_location":{"id":"doi:10.1109/icbc64466.2025.11114602","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icbc64466.2025.11114602","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 Blockchain and Cryptocurrency (ICBC)","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":null,"display_name":"Qiangqiang Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I132806614","display_name":"University of Dubai","ror":"https://ror.org/05h0z7c09","country_code":"AE","type":"education","lineage":["https://openalex.org/I132806614"]}],"countries":["AE"],"is_corresponding":true,"raw_author_name":"Qiangqiang Liu","raw_affiliation_strings":["Binance,Risk Department,Dubai,United Arab Emirates"],"affiliations":[{"raw_affiliation_string":"Binance,Risk Department,Dubai,United Arab Emirates","institution_ids":["https://openalex.org/I132806614"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qian Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I165488957","display_name":"Lingnan University","ror":"https://ror.org/0563pg902","country_code":"HK","type":"education","lineage":["https://openalex.org/I165488957"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qian Huang","raw_affiliation_strings":["Binance,Risk Department,Hong Kong,China"],"affiliations":[{"raw_affiliation_string":"Binance,Risk Department,Hong Kong,China","institution_ids":["https://openalex.org/I165488957"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Frank Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I165488957","display_name":"Lingnan University","ror":"https://ror.org/0563pg902","country_code":"HK","type":"education","lineage":["https://openalex.org/I165488957"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Frank Fan","raw_affiliation_strings":["Binance,Risk Department,Hong Kong,China"],"affiliations":[{"raw_affiliation_string":"Binance,Risk Department,Hong Kong,China","institution_ids":["https://openalex.org/I165488957"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Haishan Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I91044093","display_name":"Zayed University","ror":"https://ror.org/03snqfa66","country_code":"AE","type":"education","lineage":["https://openalex.org/I91044093"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Haishan Wu","raw_affiliation_strings":["Zand,AI Department,Dubai,United Arab Emirates"],"affiliations":[{"raw_affiliation_string":"Zand,AI Department,Dubai,United Arab Emirates","institution_ids":["https://openalex.org/I91044093"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xueyan Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210125878","display_name":"Suzhou Research Institute","ror":"https://ror.org/03ebk0c60","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210125878"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueyan Tang","raw_affiliation_strings":["Suzhou Artificial Intelligence Research Institute Shanghai Jiao Tong University,Suzhou,China"],"affiliations":[{"raw_affiliation_string":"Suzhou Artificial Intelligence Research Institute Shanghai Jiao Tong University,Suzhou,China","institution_ids":["https://openalex.org/I4210125878"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I132806614"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.57468847,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11152","display_name":"Stochastic processes and statistical mechanics","score":0.5088000297546387,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11152","display_name":"Stochastic processes and statistical mechanics","score":0.5088000297546387,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10591","display_name":"Theoretical and Computational Physics","score":0.07829999923706055,"subfield":{"id":"https://openalex.org/subfields/3104","display_name":"Condensed Matter 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/T12809","display_name":"Contact Mechanics and Variational Inequalities","score":0.06069999933242798,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/market-liquidity","display_name":"Market liquidity","score":0.6759999990463257},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.5238999724388123},{"id":"https://openalex.org/keywords/asset","display_name":"Asset (computer security)","score":0.45680001378059387},{"id":"https://openalex.org/keywords/liquidity-risk","display_name":"Liquidity risk","score":0.43700000643730164},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4189000129699707},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.41110000014305115},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4052000045776367}],"concepts":[{"id":"https://openalex.org/C183582576","wikidata":"https://www.wikidata.org/wiki/Q184783","display_name":"Market liquidity","level":2,"score":0.6759999990463257},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.5332000255584717},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.5238999724388123},{"id":"https://openalex.org/C76178495","wikidata":"https://www.wikidata.org/wiki/Q4808784","display_name":"Asset (computer security)","level":2,"score":0.45680001378059387},{"id":"https://openalex.org/C189259953","wikidata":"https://www.wikidata.org/wiki/Q1042259","display_name":"Liquidity risk","level":3,"score":0.43700000643730164},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4189000129699707},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.41110000014305115},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4052000045776367},{"id":"https://openalex.org/C180706569","wikidata":"https://www.wikidata.org/wiki/Q13479982","display_name":"Cryptocurrency","level":2,"score":0.3937999904155731},{"id":"https://openalex.org/C162118730","wikidata":"https://www.wikidata.org/wiki/Q1128453","display_name":"Actuarial science","level":1,"score":0.387800008058548},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.3869999945163727},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.37549999356269836},{"id":"https://openalex.org/C166052673","wikidata":"https://www.wikidata.org/wiki/Q83021","display_name":"Empirical evidence","level":2,"score":0.3605000078678131},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.33250001072883606},{"id":"https://openalex.org/C176923680","wikidata":"https://www.wikidata.org/wiki/Q3002739","display_name":"Liquidity crisis","level":3,"score":0.33219999074935913},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3260999917984009},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.29739999771118164},{"id":"https://openalex.org/C137577040","wikidata":"https://www.wikidata.org/wiki/Q431965","display_name":"Information asymmetry","level":2,"score":0.27149999141693115},{"id":"https://openalex.org/C181236170","wikidata":"https://www.wikidata.org/wiki/Q848354","display_name":"Capital asset pricing model","level":2,"score":0.2671000063419342},{"id":"https://openalex.org/C139819358","wikidata":"https://www.wikidata.org/wiki/Q462748","display_name":"Asset allocation","level":3,"score":0.26339998841285706}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icbc64466.2025.11114602","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icbc64466.2025.11114602","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 Blockchain and Cryptocurrency (ICBC)","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":9,"referenced_works":["https://openalex.org/W1591779874","https://openalex.org/W1995443851","https://openalex.org/W2740924709","https://openalex.org/W2897249806","https://openalex.org/W2980077220","https://openalex.org/W3017072639","https://openalex.org/W3029018358","https://openalex.org/W3043060424","https://openalex.org/W4386845402"],"related_works":[],"abstract_inverted_index":{"Meme":[0],"tokens":[1,87],"represent":[2],"a":[3,46,65,124,129],"distinctive":[4],"asset":[5],"class":[6],"within":[7],"the":[8],"cryptocurrency":[9],"ecosystem,":[10],"characterized":[11],"by":[12],"high":[13],"community":[14],"engagement,":[15],"significant":[16,97,114],"market":[17,23,118],"volatility,":[18],"and":[19,55,81,91,101,120,132],"heightened":[20],"vulnerability":[21],"to":[22,31,59],"manipulation.":[24],"This":[25],"paper":[26],"introduces":[27],"an":[28],"innovative":[29],"approach":[30],"assessing":[32],"liquidity":[33,69,82,103],"risk":[34,70],"in":[35,104],"meme":[36,74,105,134],"token":[37,77,106,135],"markets":[38],"using":[39],"entity-linked":[40],"address":[41],"identification":[42],"techniques.":[43],"We":[44,63],"propose":[45],"multi-dimensional":[47],"method":[48],"integrating":[49],"fund":[50],"flow":[51],"analysis,":[52],"behavioral":[53],"similarity,":[54],"anomalous":[56],"transaction":[57],"detection":[58],"identify":[60],"related":[61],"addresses.":[62],"develop":[64],"comprehensive":[66],"set":[67],"of":[68,86,110],"indicators":[71],"tailored":[72],"for":[73,117,127],"tokens,":[75],"covering":[76],"distribution,":[78],"trading":[79],"activity,":[80],"metrics.":[83],"Empirical":[84],"analysis":[85],"like":[88],"BabyBonk,":[89],"NMT,":[90],"BonkFork":[92],"validates":[93],"our":[94],"approach,":[95],"revealing":[96],"disparities":[98],"between":[99],"apparent":[100],"actual":[102],"markets.":[107],"The":[108],"findings":[109],"this":[111],"study":[112],"provide":[113],"empirical":[115],"evidence":[116],"participants":[119],"regulatory":[121],"authorities,":[122],"laying":[123],"theoretical":[125],"foundation":[126],"building":[128],"more":[130],"transparent":[131],"robust":[133],"ecosystem.":[136]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
