{"id":"https://openalex.org/W2898551566","doi":"https://doi.org/10.1109/asonam.2018.8508292","title":"A Framework for Enterprise Social Network Assessment and Weak Ties Recommendation","display_name":"A Framework for Enterprise Social Network Assessment and Weak Ties Recommendation","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2898551566","doi":"https://doi.org/10.1109/asonam.2018.8508292","mag":"2898551566"},"language":"en","primary_location":{"id":"doi:10.1109/asonam.2018.8508292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2018.8508292","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10197/11406","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044381058","display_name":"Faisal Ghaffar","orcid":"https://orcid.org/0000-0003-0517-1389"},"institutions":[{"id":"https://openalex.org/I4210100977","display_name":"IBM (Ireland)","ror":"https://ror.org/0146h2h75","country_code":"IE","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210100977"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Faisal Ghaffar","raw_affiliation_strings":["IBM, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM, Ireland","institution_ids":["https://openalex.org/I4210100977"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073344294","display_name":"Teodora Sandra Buda","orcid":"https://orcid.org/0000-0003-1806-2915"},"institutions":[{"id":"https://openalex.org/I4210100977","display_name":"IBM (Ireland)","ror":"https://ror.org/0146h2h75","country_code":"IE","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210100977"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Teodora Sandra Buda","raw_affiliation_strings":["IBM, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM, Ireland","institution_ids":["https://openalex.org/I4210100977"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023510057","display_name":"Haytham Assem","orcid":"https://orcid.org/0000-0002-9475-0579"},"institutions":[{"id":"https://openalex.org/I4210100977","display_name":"IBM (Ireland)","ror":"https://ror.org/0146h2h75","country_code":"IE","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210100977"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Haytham Assem","raw_affiliation_strings":["IBM, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM, Ireland","institution_ids":["https://openalex.org/I4210100977"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024753247","display_name":"Armita Afsharinejad","orcid":"https://orcid.org/0000-0002-7856-0521"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Armita Afsharinejad","raw_affiliation_strings":["Insight Center UCD, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Insight Center UCD, Ireland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084111561","display_name":"Neil Hurley","orcid":"https://orcid.org/0000-0001-8428-2866"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Neil Hurley","raw_affiliation_strings":["Insight Center UCD, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Insight Center UCD, Ireland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0352,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.88094591,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"678","last_page":"685"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9991000294685364,"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":0.9991000294685364,"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":0.982699990272522,"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/T12028","display_name":"Knowledge Management and Sharing","score":0.9574999809265137,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpersonal-ties","display_name":"Interpersonal ties","score":0.8240636587142944},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7508416771888733},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5558023452758789},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.5408025979995728},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.5285947322845459},{"id":"https://openalex.org/keywords/social-network-analysis","display_name":"Social network analysis","score":0.507188081741333},{"id":"https://openalex.org/keywords/structural-holes","display_name":"Structural holes","score":0.5071852207183838},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4910898208618164},{"id":"https://openalex.org/keywords/strong-ties","display_name":"Strong ties","score":0.4730604887008667},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3756098449230194},{"id":"https://openalex.org/keywords/social-capital","display_name":"Social capital","score":0.30384254455566406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24817708134651184},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.19824066758155823},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15613391995429993},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.13482362031936646},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.13481417298316956},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1272488534450531}],"concepts":[{"id":"https://openalex.org/C142189719","wikidata":"https://www.wikidata.org/wiki/Q1276633","display_name":"Interpersonal ties","level":2,"score":0.8240636587142944},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7508416771888733},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5558023452758789},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.5408025979995728},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.5285947322845459},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.507188081741333},{"id":"https://openalex.org/C2778727218","wikidata":"https://www.wikidata.org/wiki/Q22909122","display_name":"Structural holes","level":3,"score":0.5071852207183838},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4910898208618164},{"id":"https://openalex.org/C2992428813","wikidata":"https://www.wikidata.org/wiki/Q1276633","display_name":"Strong ties","level":3,"score":0.4730604887008667},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3756098449230194},{"id":"https://openalex.org/C68062652","wikidata":"https://www.wikidata.org/wiki/Q214693","display_name":"Social capital","level":2,"score":0.30384254455566406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24817708134651184},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.19824066758155823},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15613391995429993},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.13482362031936646},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.13481417298316956},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1272488534450531},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/asonam.2018.8508292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2018.8508292","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"},{"id":"pmh:oai:researchrepository.ucd.ie:10197/11406","is_oa":true,"landing_page_url":"http://hdl.handle.net/10197/11406","pdf_url":"http://hdl.handle.net/10197/11406","source":{"id":"https://openalex.org/S4306402280","display_name":"Research Repository UCD (University College Dublin)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I100930933","host_organization_name":"University College Dublin","host_organization_lineage":["https://openalex.org/I100930933"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Publication"}],"best_oa_location":{"id":"pmh:oai:researchrepository.ucd.ie:10197/11406","is_oa":true,"landing_page_url":"http://hdl.handle.net/10197/11406","pdf_url":"http://hdl.handle.net/10197/11406","source":{"id":"https://openalex.org/S4306402280","display_name":"Research Repository UCD (University College Dublin)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I100930933","host_organization_name":"University College Dublin","host_organization_lineage":["https://openalex.org/I100930933"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Publication"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2898551566.pdf","grobid_xml":"https://content.openalex.org/works/W2898551566.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W185976202","https://openalex.org/W190727590","https://openalex.org/W1523524122","https://openalex.org/W1967531152","https://openalex.org/W1987869189","https://openalex.org/W1994838421","https://openalex.org/W2003575581","https://openalex.org/W2007444087","https://openalex.org/W2037933327","https://openalex.org/W2052461242","https://openalex.org/W2054604100","https://openalex.org/W2061336947","https://openalex.org/W2091600928","https://openalex.org/W2109469951","https://openalex.org/W2114860547","https://openalex.org/W2131635820","https://openalex.org/W2136254842","https://openalex.org/W2138890364","https://openalex.org/W2145604831","https://openalex.org/W2159697746","https://openalex.org/W2745864640","https://openalex.org/W2768375068","https://openalex.org/W3123690996","https://openalex.org/W4213260080","https://openalex.org/W4232932184","https://openalex.org/W4302600810","https://openalex.org/W4302936556","https://openalex.org/W6607575301","https://openalex.org/W6607787177","https://openalex.org/W6631218482","https://openalex.org/W6664226237"],"related_works":["https://openalex.org/W2522307932","https://openalex.org/W4362002289","https://openalex.org/W3045084138","https://openalex.org/W2242413187","https://openalex.org/W2122131676","https://openalex.org/W3203138617","https://openalex.org/W3124833808","https://openalex.org/W2001447365","https://openalex.org/W1989759523","https://openalex.org/W576626689"],"abstract_inverted_index":{"Sociological":[0],"theories":[1,22],"of":[2,11,26,40,62,70,75,107,113,173,219,227],"career":[3,19,44,115],"success":[4],"provide":[5,43],"fundamental":[6],"principles":[7],"for":[8,195],"the":[9,79,99,105,111,143,181,196,202],"analysis":[10],"social":[12,41,66,81,101,136,168,193],"links":[13,77],"to":[14,46,51,230],"identify":[15],"patterns":[16],"that":[17,37,212],"facilitate":[18],"development.":[20,116],"Some":[21],"(e.g.":[23],"Granovetter's":[24,236],"Strength":[25],"Weak":[27,128],"Ties":[28,129],"Theory":[29],"and":[30,55,73,86,103,142,177,221,224,237],"Burt's":[31,238],"Structural":[32],"Hole":[33],"Theory)":[34],"have":[35,88],"shown":[36],"certain":[38,232],"types":[39,72],"ties":[42,109,149,198,229],"advantage":[45],"individuals":[47],"by":[48,124,200],"facilitating":[49],"them":[50,57],"access":[52],"unique":[53],"information":[54],"connecting":[56],"with":[58,170,235],"a":[59,152,171,231],"diverse":[60],"range":[61],"others":[63],"in":[64,78,98,110,185,217],"different":[65],"cliques.":[67],"The":[68],"assessment":[69,179],"link":[71,153,160,203],"prediction":[74,106,154,161,199,204,215],"new":[76,187],"external":[80],"networks":[82,102,176],"such":[83],"as":[84,151],"Facebook":[85],"Twitter":[87],"been":[89,96],"studied":[90],"extensively.":[91],"However,":[92,156],"this":[93,118,122],"has":[94],"not":[95],"addressed":[97],"enterprise":[100,135,167],"especially":[104],"weak":[108,148,197,228],"context":[112],"employee":[114,138],"In":[117],"paper,":[119],"we":[120,163,190],"address":[121],"problem":[123],"proposing":[125],"an":[126],"Enterprise":[127],"Recommendation":[130],"(EWTR)":[131],"framework":[132],"which":[133],"leverages":[134],"networks,":[137],"collaboration":[139,175],"activity":[140],"streams":[141],"organizational":[144,207],"chart.":[145],"We":[146,210],"formulate":[147],"recommendation":[150],"problem.":[155],"unlike":[157],"any":[158],"generic":[159],"work,":[162],"first":[164],"validated":[165],"explicit":[166,182],"network":[169,194],"set":[172],"heterogeneous":[174],"show":[178],"improves":[180,214],"network's":[183],"effectiveness":[184],"predicting":[186],"links.":[188],"Furthermore,":[189],"leverage":[191],"assessed":[192],"optimizing":[201],"methods":[205],"using":[206],"chart":[208],"information.":[209],"demonstrate":[211],"optimization":[213],"accuracy":[216],"terms":[218],"AUC":[220],"average":[222],"precision":[223],"our":[225],"characterization":[226],"extent":[233],"aligns":[234],"seminal":[239],"studies.":[240]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-08-30T07:30:35.949966","created_date":"2025-10-10T00:00:00"}
