{"id":"https://openalex.org/W2912514591","doi":"https://doi.org/10.1109/infocom.2019.8737364","title":"Market Manipulation of Bitcoin: Evidence from Mining the Mt. Gox Transaction Network","display_name":"Market Manipulation of Bitcoin: Evidence from Mining the Mt. Gox Transaction Network","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2912514591","doi":"https://doi.org/10.1109/infocom.2019.8737364","mag":"2912514591"},"language":"en","primary_location":{"id":"doi:10.1109/infocom.2019.8737364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2019.8737364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2019 - IEEE Conference on Computer Communications","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/A5047833763","display_name":"Weili Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weili Chen","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113871974","display_name":"Jun Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wu","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000582109","display_name":"Zibin Zheng","orcid":"https://orcid.org/0000-0002-7878-4330"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zibin Zheng","raw_affiliation_strings":["National Engineering Research Center of Digital Life, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Digital Life, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100429133","display_name":"Chuan Chen","orcid":"https://orcid.org/0000-0002-7048-3445"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Chen","raw_affiliation_strings":["National Engineering Research Center of Digital Life, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Digital Life, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056123187","display_name":"Yuren Zhou","orcid":"https://orcid.org/0000-0002-0497-0835"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuren Zhou","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5047833763"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":25.1001,"has_fulltext":false,"cited_by_count":124,"citation_normalized_percentile":{"value":0.99503635,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"964","last_page":"972"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9997000098228455,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9700000286102295,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cryptocurrency","display_name":"Cryptocurrency","score":0.8629591464996338},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.7351097464561462},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6398382186889648},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5509742498397827},{"id":"https://openalex.org/keywords/transaction-cost","display_name":"Transaction cost","score":0.5112917423248291},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.507436215877533},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.4745370149612427},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.3096192479133606},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2910233736038208},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.258924663066864},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1373976767063141},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11108431220054626}],"concepts":[{"id":"https://openalex.org/C180706569","wikidata":"https://www.wikidata.org/wiki/Q13479982","display_name":"Cryptocurrency","level":2,"score":0.8629591464996338},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.7351097464561462},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6398382186889648},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5509742498397827},{"id":"https://openalex.org/C98965940","wikidata":"https://www.wikidata.org/wiki/Q877496","display_name":"Transaction cost","level":2,"score":0.5112917423248291},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.507436215877533},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.4745370149612427},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.3096192479133606},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2910233736038208},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.258924663066864},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1373976767063141},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11108431220054626},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocom.2019.8737364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2019.8737364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2019 - IEEE Conference on Computer Communications","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":30,"referenced_works":["https://openalex.org/W1454642304","https://openalex.org/W1798106456","https://openalex.org/W1903203327","https://openalex.org/W1988699025","https://openalex.org/W1994130174","https://openalex.org/W2120940693","https://openalex.org/W2127716901","https://openalex.org/W2162338668","https://openalex.org/W2205255254","https://openalex.org/W2222557215","https://openalex.org/W2510870386","https://openalex.org/W2617428178","https://openalex.org/W2754529701","https://openalex.org/W2762598207","https://openalex.org/W2789063661","https://openalex.org/W2792261072","https://openalex.org/W2792991436","https://openalex.org/W2897450989","https://openalex.org/W2968035976","https://openalex.org/W2998736188","https://openalex.org/W3102189116","https://openalex.org/W3121876365","https://openalex.org/W3123605351","https://openalex.org/W3123684060","https://openalex.org/W3123910853","https://openalex.org/W4248175462","https://openalex.org/W4255535209","https://openalex.org/W4301848349","https://openalex.org/W6703482178","https://openalex.org/W6735379044"],"related_works":["https://openalex.org/W4366411693","https://openalex.org/W3211641817","https://openalex.org/W3164717803","https://openalex.org/W4389915954","https://openalex.org/W3123387860","https://openalex.org/W4291291739","https://openalex.org/W2915579847","https://openalex.org/W3110645133","https://openalex.org/W2957710009","https://openalex.org/W3115531728"],"abstract_inverted_index":{"The":[0],"cryptocurrency":[1,176],"market":[2,7,25,153,168,177],"is":[3,12],"a":[4,59,133],"very":[5],"huge":[6],"without":[8],"effective":[9],"supervision.":[10,181],"It":[11],"of":[13,41,53,97,152],"great":[14,134],"importance":[15],"for":[16,43],"investors":[17],"and":[18,27,73,84,113,174],"regulators":[19],"to":[20,36,70,159],"recognize":[21],"whether":[22],"there":[23,165],"are":[24,86,109,156],"manipulation":[26,29,154,169],"its":[28,71],"patterns.":[30],"This":[31],"paper":[32],"proposes":[33],"an":[34],"approach":[35],"mine":[37],"the":[38,49,64,76,90,95,98,103,107,124,137,143,148,175,180],"transaction":[39,51,77,100],"networks":[40,130],"exchanges":[42],"answering":[44],"this":[45],"question.":[46],"By":[47,117],"taking":[48],"leaked":[50],"history":[52,78],"Mt.":[54,171],"Gox":[55,172],"Bitcoin":[56,104],"exchange":[57,105,173],"as":[58,115],"sample,":[60],"we":[61,126,162],"first":[62],"divide":[63],"accounts":[65,146],"into":[66,79,111],"three":[67,80],"categories":[68],"according":[69],"characteristic":[72],"then":[74],"construct":[75],"graphs.":[81,92],"Many":[82],"observations":[83],"findings":[85],"obtained":[87],"via":[88],"analyzing":[89,142],"constructed":[91],"To":[93],"evaluate":[94],"influence":[96],"accounts'":[99],"behavior":[101],"on":[102,123],"price,":[106],"graphs":[108],"reconstructed":[110],"series":[112],"reshaped":[114],"matrices.":[116],"using":[118],"singular":[119],"value":[120],"decomposition":[121],"(SVD)":[122],"matrices,":[125],"identify":[127],"many":[128],"base":[129,149],"which":[131],"have":[132],"correlation":[135],"with":[136],"price":[138],"fluctuation.":[139],"When":[140],"further":[141],"most":[144],"important":[145],"in":[147,170],"networks,":[150],"plenty":[151],"patterns":[155],"found.":[157],"According":[158],"these":[160],"findings,":[161],"conclude":[163],"that":[164],"was":[166],"serious":[167],"must":[178],"strengthen":[179]},"counts_by_year":[{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":28},{"year":2020,"cited_by_count":18},{"year":2019,"cited_by_count":5}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}
