{"id":"https://openalex.org/W3151970151","doi":"https://doi.org/10.1109/asonam49781.2020.9381478","title":"Template-Driven Team Formation","display_name":"Template-Driven Team Formation","publication_year":2020,"publication_date":"2020-12-07","ids":{"openalex":"https://openalex.org/W3151970151","doi":"https://doi.org/10.1109/asonam49781.2020.9381478","mag":"3151970151"},"language":"en","primary_location":{"id":"doi:10.1109/asonam49781.2020.9381478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam49781.2020.9381478","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","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/A5032287111","display_name":"Spiros Apostolou","orcid":null},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Spiros Apostolou","raw_affiliation_strings":["Department of Computer Science & Engineering, University of Ioannina, Ioannina, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of Ioannina, Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066962453","display_name":"Panayiotis Tsaparas","orcid":"https://orcid.org/0000-0002-3490-1507"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Panayiotis Tsaparas","raw_affiliation_strings":["Department of Computer Science & Engineering, University of Ioannina, Ioannina, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of Ioannina, Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005972547","display_name":"Evimaria Terzi","orcid":"https://orcid.org/0000-0001-7809-9993"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Evimaria Terzi","raw_affiliation_strings":["Department of Computer Science, Boston University, Boston, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Boston University, Boston, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032287111"],"corresponding_institution_ids":["https://openalex.org/I194019607"],"apc_list":null,"apc_paid":null,"fwci":0.2456,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.68672566,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"258","last_page":"265"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9965000152587891,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9950000047683716,"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/computer-science","display_name":"Computer science","score":0.73055499792099},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.7042518854141235},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6550707817077637},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4581555128097534},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44304993748664856},{"id":"https://openalex.org/keywords/dynamic-programming","display_name":"Dynamic programming","score":0.4345690906047821},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.43022987246513367},{"id":"https://openalex.org/keywords/ask-price","display_name":"Ask price","score":0.41687777638435364},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.40236321091651917},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33467376232147217},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2859988212585449},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0870274007320404}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.73055499792099},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.7042518854141235},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6550707817077637},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4581555128097534},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44304993748664856},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.4345690906047821},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.43022987246513367},{"id":"https://openalex.org/C90329073","wikidata":"https://www.wikidata.org/wiki/Q914232","display_name":"Ask price","level":2,"score":0.41687777638435364},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40236321091651917},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33467376232147217},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2859988212585449},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0870274007320404},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asonam49781.2020.9381478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam49781.2020.9381478","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1595983950","https://openalex.org/W2030234114","https://openalex.org/W2037246199","https://openalex.org/W2043252224","https://openalex.org/W2060133495","https://openalex.org/W2079284623","https://openalex.org/W2123966888","https://openalex.org/W2126226055","https://openalex.org/W2128083970","https://openalex.org/W2132613313","https://openalex.org/W2139257893","https://openalex.org/W2145604831","https://openalex.org/W2147405597","https://openalex.org/W2343097214","https://openalex.org/W2398673720","https://openalex.org/W2621420628","https://openalex.org/W2769671156","https://openalex.org/W2944371455","https://openalex.org/W2964269525","https://openalex.org/W2977471443","https://openalex.org/W3126940213","https://openalex.org/W4240197955","https://openalex.org/W6708538071","https://openalex.org/W6789847410"],"related_works":["https://openalex.org/W2168627904","https://openalex.org/W156769215","https://openalex.org/W1570348318","https://openalex.org/W2015444353","https://openalex.org/W3013494979","https://openalex.org/W2102726926","https://openalex.org/W4308101915","https://openalex.org/W3194047734","https://openalex.org/W2251005117","https://openalex.org/W2396112788"],"abstract_inverted_index":{"The":[0],"team-formation":[1],"problem":[2,128,138],"on":[3,160],"social":[4,33],"networks":[5],"asks":[6],"for":[7,86,99,107],"a":[8,19,39,82,93,96],"team":[9,46],"of":[10,92,136,185],"individuals":[11],"that":[12,109,139,166],"collectively":[13],"possess":[14],"the":[15,32,43,75,87,90,103,112,115,119,123,127,137,148,183,186],"skills":[16],"to":[17],"perform":[18,170],"task":[20],"and":[21,59,62,95,154,163],"have":[22,56],"low":[23],"communication":[24,120],"cost,":[25],"as":[26],"measured":[27],"by":[28,189],"their":[29],"distances":[30],"in":[31,42,52,67,89,102,114,130,172],"network.":[34],"Most":[35],"related":[36],"work":[37],"assumes":[38],"flat":[40],"structure":[41,85],"team,":[44,88],"where":[45,80],"members":[47,63],"are":[48,134],"all":[49],"indistinguishable.":[50],"However,":[51],"practice,":[53],"teams":[54,187],"often":[55],"complex":[57],"structures":[58],"deep":[60],"hierarchies,":[61],"with":[64],"distinct":[65],"roles":[66,113],"these":[68],"structures.":[69],"In":[70],"this":[71],"paper,":[72],"we":[73,105,151,164],"consider":[74],"Template-Driven":[76],"Team":[77],"Formation":[78],"problem,":[79],"given":[81],"fixed":[83],"template":[84,124],"form":[91],"graph,":[94],"designated":[97],"role":[98],"each":[100],"node":[101],"template,":[104,116],"ask":[106],"workers":[108],"can":[110,140],"fill":[111],"while":[117,174],"minimizing":[118],"cost":[121],"along":[122],"edges.":[125],"Although":[126],"is":[129],"general":[131,149],"NP-hard,":[132],"there":[133],"variants":[135],"be":[141],"solved":[142],"optimally":[143],"using":[144],"dynamic":[145],"programming.":[146],"For":[147],"case,":[150],"provide":[152],"approximation":[153],"heuristic":[155,168],"polynomial-time":[156],"algorithms.":[157,191],"We":[158],"experiment":[159],"real":[161],"data":[162],"demonstrate":[165],"our":[167,190],"algorithms":[169],"well":[171],"practice":[173],"being":[175],"significantly":[176],"more":[177],"efficient.":[178],"Our":[179],"case":[180],"studies":[181],"highlight":[182],"quality":[184],"produced":[188]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}