{"id":"https://openalex.org/W2565473608","doi":"https://doi.org/10.1145/2996465","title":"From Footprint to Evidence","display_name":"From Footprint to Evidence","publication_year":2016,"publication_date":"2016-12-15","ids":{"openalex":"https://openalex.org/W2565473608","doi":"https://doi.org/10.1145/2996465","mag":"2565473608"},"language":"en","primary_location":{"id":"doi:10.1145/2996465","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2996465","pdf_url":null,"source":{"id":"https://openalex.org/S131231701","display_name":"ACM Transactions on the Web","issn_l":"1559-1131","issn":["1559-1131","1559-114X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on the Web","raw_type":"journal-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/A5101565878","display_name":"Guangming Guo","orcid":"https://orcid.org/0000-0003-1373-5527"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guangming Guo","raw_affiliation_strings":["University of Science and Technology of China, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0003-1373-5527","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003692270","display_name":"Feida Zhu","orcid":"https://orcid.org/0000-0001-6077-4356"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Feida Zhu","raw_affiliation_strings":["Singapore Management University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singapore Management University, Singapore","institution_ids":["https://openalex.org/I79891267"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048237545","display_name":"Enhong Chen","orcid":"https://orcid.org/0000-0002-4835-4102"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enhong Chen","raw_affiliation_strings":["University of Science and Technology of China, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453144","display_name":"Qi Liu","orcid":"https://orcid.org/0000-0001-5378-6404"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Liu","raw_affiliation_strings":["University of Science and Technology of China, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033706423","display_name":"Le Wu","orcid":"https://orcid.org/0000-0003-4556-0581"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Wu","raw_affiliation_strings":["Hefei University of Technology, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Anhui, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103738772","display_name":"Chu Guan","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chu Guan","raw_affiliation_strings":["University of Science and Technology of China, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101565878"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":3.1919,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.93284406,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"10","issue":"4","first_page":"1","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9678999781608582,"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/T11995","display_name":"FinTech, Crowdfunding, Digital Finance","score":0.9190000295639038,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.7621209025382996},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7415179014205933},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.6515088081359863},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5809606909751892},{"id":"https://openalex.org/keywords/credit-card","display_name":"Credit card","score":0.5116615295410156},{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.5084534883499146},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4924510419368744},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.44471171498298645},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33236122131347656}],"concepts":[{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7621209025382996},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7415179014205933},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.6515088081359863},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5809606909751892},{"id":"https://openalex.org/C2983355114","wikidata":"https://www.wikidata.org/wiki/Q161380","display_name":"Credit card","level":3,"score":0.5116615295410156},{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.5084534883499146},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4924510419368744},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.44471171498298645},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33236122131347656},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2996465","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2996465","pdf_url":null,"source":{"id":"https://openalex.org/S131231701","display_name":"ACM Transactions on the Web","issn_l":"1559-1131","issn":["1559-1131","1559-114X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on the Web","raw_type":"journal-article"},{"id":"pmh:oai:ink.library.smu.edu.sg:sis_research-4456","is_oa":false,"landing_page_url":"https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=4456&context=sis_research","pdf_url":null,"source":{"id":"https://openalex.org/S4377196871","display_name":"Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79891267","host_organization_name":"Singapore Management University","host_organization_lineage":["https://openalex.org/I79891267"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1145/2996465","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5,"id":"https://metadata.un.org/sdg/10"},{"display_name":"Peace, Justice and strong institutions","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G5693580652","display_name":null,"funder_award_id":"61403358 and 61602147","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":76,"referenced_works":["https://openalex.org/W9292421","https://openalex.org/W39040241","https://openalex.org/W201361503","https://openalex.org/W950482521","https://openalex.org/W1500693574","https://openalex.org/W1528428636","https://openalex.org/W1541992550","https://openalex.org/W1552478593","https://openalex.org/W1678356000","https://openalex.org/W1872023060","https://openalex.org/W1880262756","https://openalex.org/W1893888233","https://openalex.org/W1965586806","https://openalex.org/W1973704036","https://openalex.org/W1982120517","https://openalex.org/W1982644216","https://openalex.org/W1984104714","https://openalex.org/W1988906723","https://openalex.org/W1994085451","https://openalex.org/W1998046699","https://openalex.org/W1999003247","https://openalex.org/W2001082470","https://openalex.org/W2006342384","https://openalex.org/W2010082340","https://openalex.org/W2012833704","https://openalex.org/W2013416264","https://openalex.org/W2017729405","https://openalex.org/W2018277822","https://openalex.org/W2025294397","https://openalex.org/W2030214288","https://openalex.org/W2035908274","https://openalex.org/W2037877289","https://openalex.org/W2050362133","https://openalex.org/W2058988827","https://openalex.org/W2061820396","https://openalex.org/W2063904635","https://openalex.org/W2065130322","https://openalex.org/W2081090440","https://openalex.org/W2092240518","https://openalex.org/W2103780778","https://openalex.org/W2107961038","https://openalex.org/W2109341136","https://openalex.org/W2109553965","https://openalex.org/W2116660956","https://openalex.org/W2117352691","https://openalex.org/W2124499489","https://openalex.org/W2133990480","https://openalex.org/W2135411679","https://openalex.org/W2135485260","https://openalex.org/W2136486572","https://openalex.org/W2148143831","https://openalex.org/W2149394571","https://openalex.org/W2152460337","https://openalex.org/W2155653793","https://openalex.org/W2155806188","https://openalex.org/W2156177855","https://openalex.org/W2158068969","https://openalex.org/W2167521368","https://openalex.org/W2168123127","https://openalex.org/W2168302163","https://openalex.org/W2168346693","https://openalex.org/W2171468534","https://openalex.org/W2210561622","https://openalex.org/W2251009596","https://openalex.org/W2252926514","https://openalex.org/W2273491956","https://openalex.org/W2278756223","https://openalex.org/W2351270763","https://openalex.org/W2405651174","https://openalex.org/W2413333120","https://openalex.org/W2911964244","https://openalex.org/W3121325984","https://openalex.org/W3121716941","https://openalex.org/W3123591829","https://openalex.org/W3124786382","https://openalex.org/W7023601012"],"related_works":["https://openalex.org/W2185014967","https://openalex.org/W2217604302","https://openalex.org/W2728430307","https://openalex.org/W2107786128","https://openalex.org/W2053241453","https://openalex.org/W2153980712","https://openalex.org/W2537388533","https://openalex.org/W2036556872","https://openalex.org/W2017590198","https://openalex.org/W2093123876"],"abstract_inverted_index":{"With":[0],"the":[1,19,23,29,41,61,110,116,149,190,195,239,264,302],"booming":[2],"popularity":[3],"of":[4,25,43,54,91,189,208,222,238,269],"online":[5,12,244],"social":[6,20,32,72,99,132,210,245,304],"networks":[7],"like":[8],"Twitter":[9],"and":[10,46,57,77,104,123,140,151,198,215,230,275,308],"Weibo,":[11,148],"user":[13],"footprints":[14],"are":[15,281],"accumulating":[16],"rapidly":[17],"on":[18,143,194,263],"web.":[21],"Simultaneously,":[22],"question":[24],"how":[26,92],"to":[27,93,136],"leverage":[28],"large-scale":[30,145],"user-generated":[31],"media":[33,246],"data":[34,73,100,247],"for":[35,79,119,175,324],"personal":[36,80,326],"credit":[37,81,96,112,162,170,255,279,316,327],"scoring":[38,113,163,171,317],"comes":[39],"into":[40],"sight":[42],"both":[44,75],"researchers":[45],"practitioners.":[47],"It":[48],"has":[49],"also":[50],"become":[51],"a":[52,88,102,144,227,295],"topic":[53],"great":[55],"importance":[56],"growing":[58],"interest":[59],"in":[60,101,131,156,252],"P2P":[62],"lending":[63],"industry.":[64],"However,":[65],"compared":[66],"with":[67,300],"traditional":[68,315],"financial":[69],"data,":[70,133,211],"heterogeneous":[71],"presents":[74],"opportunities":[76],"challenges":[78],"scoring.":[82,328],"In":[83,178],"this":[84,219],"article,":[85],"we":[86,108,134,165,180,200,224,260],"seek":[87],"deep":[89],"understanding":[90],"learn":[94],"users\u2019":[95,209],"labels":[97,280],"from":[98,147,160,186,205,257],"comprehensive":[103],"efficient":[105],"way.":[106],"Particularly,":[107],"explore":[109],"social-data-based":[111,169,325],"problem":[114],"under":[115],"micro-blogging":[117],"setting":[118],"its":[120],"open,":[121],"simple,":[122],"real-time":[124],"nature.":[125],"To":[126,217],"identify":[127],"credit-related":[128,183],"evidence":[129],"hidden":[130],"choose":[135],"conduct":[137],"an":[138],"analytical":[139],"empirical":[141,187],"study":[142],"dataset":[146,267],"largest":[150],"most":[152],"popular":[153],"tweet-style":[154],"website":[155],"China.":[157],"Summarizing":[158],"results":[159,288],"existing":[161],"literature,":[164],"first":[166],"propose":[167],"three":[168,206],"principles":[172,197],"as":[173,306,320,322],"guidelines":[174],"in-depth":[176],"exploration.":[177],"addition,":[179],"glean":[181],"six":[182],"insights":[184],"arising":[185],"observations":[188],"testbed":[191],"dataset.":[192],"Based":[193],"proposed":[196,303],"insights,":[199],"extract":[201],"prediction":[202],"features":[203,241,305],"mainly":[204],"categories":[207],"including":[212],"demographics,":[213],"tweets,":[214],"networks.":[216],"harness":[218],"broad":[220],"range":[221],"features,":[223],"put":[225],"forward":[226],"two-tier":[228],"stacking":[229],"boosting":[231],"enhanced":[232],"ensemble":[233],"learning":[234,311],"framework.":[235],"Quantitative":[236],"investigation":[237],"extracted":[240],"shows":[242],"that":[243,290],"does":[248],"have":[249],"good":[250,254],"potential":[251],"discriminating":[253],"users":[256,277],"bad.":[258],"Furthermore,":[259],"perform":[261],"experiments":[262],"real-world":[265],"Weibo":[266],"consisting":[268],"more":[270],"than":[271],"7.3":[272],"million":[273],"tweets":[274],"200,000":[276],"whose":[278],"known":[282],"through":[283],"our":[284,292,310],"third-party":[285],"partner.":[286],"Experimental":[287],"show":[289],"(i)":[291],"approach":[293],"achieves":[294],"roughly":[296],"0.625":[297],"AUC":[298],"value":[299],"all":[301],"input,":[307],"(ii)":[309],"algorithm":[312],"can":[313],"outperform":[314],"methods":[318],"by":[319],"much":[321],"17%":[323]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}