{"id":"https://openalex.org/W2265217664","doi":"https://doi.org/10.1108/intr-09-2014-0231","title":"Predicting investor funding behavior using crunchbase social network features","display_name":"Predicting investor funding behavior using crunchbase social network features","publication_year":2016,"publication_date":"2016-01-21","ids":{"openalex":"https://openalex.org/W2265217664","doi":"https://doi.org/10.1108/intr-09-2014-0231","mag":"2265217664"},"language":"en","primary_location":{"id":"doi:10.1108/intr-09-2014-0231","is_oa":false,"landing_page_url":"https://doi.org/10.1108/intr-09-2014-0231","pdf_url":null,"source":{"id":"https://openalex.org/S63576417","display_name":"Internet Research","issn_l":"1066-2243","issn":["1066-2243","2054-5657"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Internet Research","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/A5056831863","display_name":"Yuxian Eugene Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I87354575","display_name":"National Chengchi University","ror":"https://ror.org/03rqk8h36","country_code":"TW","type":"education","lineage":["https://openalex.org/I87354575"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yuxian Eugene Liang","raw_affiliation_strings":["Department of Management Information Systems, National Chengchi University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Management Information Systems, National Chengchi University, Taipei, Taiwan","institution_ids":["https://openalex.org/I87354575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110239881","display_name":"Soe\u2010Tsyr Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I87354575","display_name":"National Chengchi University","ror":"https://ror.org/03rqk8h36","country_code":"TW","type":"education","lineage":["https://openalex.org/I87354575"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Soe-Tsyr Daphne Yuan","raw_affiliation_strings":["Department of Management Information Systems, National Chengchi University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Management Information Systems, National Chengchi University, Taipei, Taiwan","institution_ids":["https://openalex.org/I87354575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5056831863"],"corresponding_institution_ids":["https://openalex.org/I87354575"],"apc_list":null,"apc_paid":null,"fwci":3.3608,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.92249226,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"26","issue":"1","first_page":"74","last_page":"100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9883000254631042,"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/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.95660001039505,"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/closeness","display_name":"Closeness","score":0.7909979820251465},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.6676948666572571},{"id":"https://openalex.org/keywords/jaccard-index","display_name":"Jaccard index","score":0.6556103825569153},{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.500413179397583},{"id":"https://openalex.org/keywords/social-network-analysis","display_name":"Social network analysis","score":0.4884256422519684},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36941707134246826},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.3560553789138794},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.34681910276412964},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.3232542872428894},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.28183645009994507},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15935662388801575},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.14488503336906433}],"concepts":[{"id":"https://openalex.org/C2779545769","wikidata":"https://www.wikidata.org/wiki/Q5135364","display_name":"Closeness","level":2,"score":0.7909979820251465},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.6676948666572571},{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.6556103825569153},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.500413179397583},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.4884256422519684},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36941707134246826},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3560553789138794},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.34681910276412964},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.3232542872428894},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.28183645009994507},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15935662388801575},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.14488503336906433},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/intr-09-2014-0231","is_oa":false,"landing_page_url":"https://doi.org/10.1108/intr-09-2014-0231","pdf_url":null,"source":{"id":"https://openalex.org/S63576417","display_name":"Internet Research","issn_l":"1066-2243","issn":["1066-2243","2054-5657"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Internet Research","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W158052132","https://openalex.org/W286295083","https://openalex.org/W1532325895","https://openalex.org/W1556758605","https://openalex.org/W1930424165","https://openalex.org/W1971421925","https://openalex.org/W1981202432","https://openalex.org/W1984298344","https://openalex.org/W2008782455","https://openalex.org/W2027684023","https://openalex.org/W2028994795","https://openalex.org/W2029824586","https://openalex.org/W2031063730","https://openalex.org/W2031454682","https://openalex.org/W2034664523","https://openalex.org/W2037933327","https://openalex.org/W2039200168","https://openalex.org/W2044429396","https://openalex.org/W2060133495","https://openalex.org/W2061820396","https://openalex.org/W2066636486","https://openalex.org/W2073415627","https://openalex.org/W2073531807","https://openalex.org/W2075406172","https://openalex.org/W2096601514","https://openalex.org/W2099352187","https://openalex.org/W2107569009","https://openalex.org/W2111023939","https://openalex.org/W2120100126","https://openalex.org/W2124326114","https://openalex.org/W2125588186","https://openalex.org/W2126981385","https://openalex.org/W2130354913","https://openalex.org/W2141403143","https://openalex.org/W2142517301","https://openalex.org/W2145604831","https://openalex.org/W2151936673","https://openalex.org/W2153635508","https://openalex.org/W2154454189","https://openalex.org/W2168324767","https://openalex.org/W2171168084","https://openalex.org/W2477400917","https://openalex.org/W2542727820","https://openalex.org/W2984279299","https://openalex.org/W3085162807","https://openalex.org/W3101749026","https://openalex.org/W3121594313","https://openalex.org/W3123792552","https://openalex.org/W3124591658","https://openalex.org/W4213009331","https://openalex.org/W4230188076","https://openalex.org/W4232932184","https://openalex.org/W6677770173"],"related_works":["https://openalex.org/W2775281403","https://openalex.org/W2111828149","https://openalex.org/W2525684585","https://openalex.org/W1663961612","https://openalex.org/W4386562244","https://openalex.org/W2126991419","https://openalex.org/W2611574733","https://openalex.org/W2017965876","https://openalex.org/W4247946391","https://openalex.org/W2185295010"],"abstract_inverted_index":{"Purpose":[0],"\u2013":[1,94,218,273],"What":[2],"makes":[3],"investors":[4,23,83,224,255,263],"tick?":[5],"Largely":[6],"counter-intuitive":[7],"compared":[8],"to":[9,46,78,135,154,177,191,228,267,281,362,365,373],"the":[10,19,56,71,158,202,207,214,251,279,285,314,337],"findings":[11],"of":[12,42,73,182,195,243,291,347],"most":[13,338],"past":[14],"research,":[15],"this":[16,43,358],"study":[17,72,96,220,276,359],"explores":[18],"possibility":[20],"that":[21,222,310],"funding":[22,116,223,316,379],"invest":[24,205,229,268],"in":[25,76,131,157,206,230,241,269,345,371],"companies":[26,85,257,364],"based":[27,321],"on":[28,322,367],"social":[29,49,67,90,106,113,133,159,184,215,239,295,307,368],"relationships,":[30],"which":[31,109],"could":[32],"be":[33,198,245],"positive":[34],"or":[35,38,248],"negative,":[36],"similar":[37],"dissimilar.":[39],"The":[40,64,119,274,300],"purpose":[41],"paper":[44],"is":[45,121,277],"build":[47],"a":[48,105,125,132,152,155,179,183,193,211,231,237,294,329],"network":[50,68,91,107,134,185,296],"graph":[51,108],"using":[52],"data":[53,100,283],"from":[54,101,284],"CrunchBase,":[55],"largest":[57,286],"public":[58,287],"database":[59,290],"with":[60,70],"profiles":[61],"about":[62],"companies.":[63,271],"authors":[65],"combine":[66],"analysis":[69],"investing":[74,87],"behavior":[75,88],"order":[77],"explore":[79],"how":[80,192],"similarity":[81],"between":[82],"and":[84,98,103,115,137,144,173,186,256,325,342],"affects":[86],"through":[89],"analysis.":[92],"Design/methodology/approach":[93],"This":[95,219],"crawls":[97],"analyzes":[99],"CrunchBase":[102,292],"builds":[104],"includes":[110],"people,":[111],"companies,":[112],"links":[114],"investment":[117],"links.":[118],"problem":[120,332],"then":[122],"formalized":[123],"as":[124,166,190,293,328,350,352],"link":[126,153,162,330],"(or":[127],"relationship)":[128],"prediction":[129,163,319,331],"task":[130],"model":[136],"predict":[138],"(across":[139],"various":[140],"machine":[141],"learning":[142,340],"methods":[143],"evaluation":[145],"metrics)":[146],"whether":[147,201],"an":[148],"investor":[149,203,315],"will":[150,204],"create":[151],"company":[156,209,233,288],"network.":[160,216],"Various":[161],"techniques":[164],"such":[165,270],"common":[167,261],"neighbors,":[168,262],"shortest":[169],"path,":[170],"Jaccard":[171],"Coefficient":[172],"others":[174],"are":[175,225,264],"integrated":[176],"provide":[178,187],"holistic":[180],"view":[181],"useful":[188],"insights":[189],"pair":[194],"nodes":[196],"may":[197],"related":[199],"(i.e.,":[200],"particular":[208,232],"at":[210],"time)":[212],"within":[213],"Findings":[217],"finds":[221],"more":[226],"likely":[227,266],"if":[234,254],"they":[235],"have":[236],"stronger":[238],"relationship":[240,308,369],"terms":[242,346],"closeness,":[244],"it":[246,327],"direct":[247],"indirect.":[249],"At":[250],"same":[252],"time,":[253],"share":[258],"too":[259],"many":[260],"less":[265],"Originality/value":[272],"author\u2019s":[275],"among":[278],"first":[280],"use":[282],"profile":[289],"for":[297],"research":[298],"purposes.":[299],"author":[301],"'":[302],"s":[303],"also":[304],"identify":[305],"certain":[306],"factors":[309,324,370,375],"can":[311],"help":[312],"prescribe":[313],"behavior.":[317],"Authors":[318],"strategy":[320],"these":[323],"modeling":[326],"generally":[333],"works":[334],"well":[335,344,351],"across":[336],"prominent":[339],"algorithms":[341],"perform":[343],"aggregate":[348],"performance":[349],"individual":[353],"industries.":[354],"In":[355],"other":[356,374],"words,":[357],"would":[360],"like":[361],"encourage":[363],"focus":[366],"addition":[372],"when":[376],"seeking":[377],"external":[378],"investments.":[380]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
