{"id":"https://openalex.org/W2106684638","doi":"https://doi.org/10.1109/iri.2012.6303017","title":"Interactive visualization of the social network of research collaborations","display_name":"Interactive visualization of the social network of research collaborations","publication_year":2012,"publication_date":"2012-08-01","ids":{"openalex":"https://openalex.org/W2106684638","doi":"https://doi.org/10.1109/iri.2012.6303017","mag":"2106684638"},"language":"en","primary_location":{"id":"doi:10.1109/iri.2012.6303017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iri.2012.6303017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 13th International Conference on Information Reuse & Integration (IRI)","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/A5009145839","display_name":"Mohammad Alsukhni","orcid":null},"institutions":[{"id":"https://openalex.org/I39470171","display_name":"University of Ontario Institute of Technology","ror":"https://ror.org/016zre027","country_code":"CA","type":"education","lineage":["https://openalex.org/I39470171"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Mohammad Alsukhni","raw_affiliation_strings":["Faculty of Engineering and Applied Science, Institute of Technology, University of Ontario, Canada","Faculty of Engineering and Applied Science, University of Ontario Institute of Technology, Canada#TAB#"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Applied Science, Institute of Technology, University of Ontario, Canada","institution_ids":["https://openalex.org/I39470171"]},{"raw_affiliation_string":"Faculty of Engineering and Applied Science, University of Ontario Institute of Technology, Canada#TAB#","institution_ids":["https://openalex.org/I39470171"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101577776","display_name":"Ying Zhu","orcid":"https://orcid.org/0000-0003-3151-0065"},"institutions":[{"id":"https://openalex.org/I39470171","display_name":"University of Ontario Institute of Technology","ror":"https://ror.org/016zre027","country_code":"CA","type":"education","lineage":["https://openalex.org/I39470171"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ying Zhu","raw_affiliation_strings":["Faculty of Engineering and Applied Science, Institute of Technology, University of Ontario, Canada","Faculty of Engineering and Applied Science, University of Ontario Institute of Technology, Canada#TAB#"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Applied Science, Institute of Technology, University of Ontario, Canada","institution_ids":["https://openalex.org/I39470171"]},{"raw_affiliation_string":"Faculty of Engineering and Applied Science, University of Ontario Institute of Technology, Canada#TAB#","institution_ids":["https://openalex.org/I39470171"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5009145839"],"corresponding_institution_ids":["https://openalex.org/I39470171"],"apc_list":null,"apc_paid":null,"fwci":0.2425,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.57331002,"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":"247","last_page":"254"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9635999798774719,"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/computer-science","display_name":"Computer science","score":0.8454709053039551},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.5403450131416321},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5210482478141785},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.508630633354187},{"id":"https://openalex.org/keywords/multidimensional-scaling","display_name":"Multidimensional scaling","score":0.5051959156990051},{"id":"https://openalex.org/keywords/social-network-analysis","display_name":"Social network analysis","score":0.4900883436203003},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4812723994255066},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.43051862716674805},{"id":"https://openalex.org/keywords/graph-layout","display_name":"Graph Layout","score":0.417780339717865},{"id":"https://openalex.org/keywords/xml","display_name":"XML","score":0.41539621353149414},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.4120647609233856},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4091677665710449},{"id":"https://openalex.org/keywords/graph-drawing","display_name":"Graph drawing","score":0.3891894221305847},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3815491795539856},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34276896715164185},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2810152769088745},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.15782395005226135},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14004194736480713}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8454709053039551},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.5403450131416321},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5210482478141785},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.508630633354187},{"id":"https://openalex.org/C91682802","wikidata":"https://www.wikidata.org/wiki/Q620538","display_name":"Multidimensional scaling","level":2,"score":0.5051959156990051},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.4900883436203003},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4812723994255066},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.43051862716674805},{"id":"https://openalex.org/C2911174283","wikidata":"https://www.wikidata.org/wiki/Q739462","display_name":"Graph Layout","level":4,"score":0.417780339717865},{"id":"https://openalex.org/C8797682","wikidata":"https://www.wikidata.org/wiki/Q2115","display_name":"XML","level":2,"score":0.41539621353149414},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.4120647609233856},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4091677665710449},{"id":"https://openalex.org/C112953755","wikidata":"https://www.wikidata.org/wiki/Q739462","display_name":"Graph drawing","level":3,"score":0.3891894221305847},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3815491795539856},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34276896715164185},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2810152769088745},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.15782395005226135},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14004194736480713},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iri.2012.6303017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iri.2012.6303017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 13th International Conference on Information Reuse & Integration (IRI)","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":12,"referenced_works":["https://openalex.org/W655089096","https://openalex.org/W2008620264","https://openalex.org/W2096373083","https://openalex.org/W2104371487","https://openalex.org/W2145845082","https://openalex.org/W2147107544","https://openalex.org/W2492645076","https://openalex.org/W3100447784","https://openalex.org/W4237843544","https://openalex.org/W4241938123","https://openalex.org/W4245095669","https://openalex.org/W6810952605"],"related_works":["https://openalex.org/W2031908202","https://openalex.org/W2766563406","https://openalex.org/W3160329999","https://openalex.org/W2026729066","https://openalex.org/W2895526338","https://openalex.org/W2003783600","https://openalex.org/W4297904617","https://openalex.org/W2367461170","https://openalex.org/W2081538034","https://openalex.org/W2010800245"],"abstract_inverted_index":{"Social":[0],"networks":[1],"have":[2,51],"been":[3,52],"evolving":[4],"over":[5,91],"the":[6,16,37,66,85,99,126,129,146,151,164,188,202,208,211,221,226,232,245,250,260,265,276],"past":[7],"few":[8],"years,":[9],"leading":[10],"to":[11,144,159,196,230,243,257],"a":[12,31,70,78,105,115,136,173,178,217,255],"rapid":[13],"increase":[14],"in":[15,54,84,157,167,172,234,241],"number":[17],"and":[18,40,56,61,80,94,98,123,162,200,269],"complexity":[19,181],"of":[20,73,119,148,210,249],"relationships":[21],"among":[22,128,150,273],"their":[23],"entities.":[24],"In":[25,131,205],"this":[26,132,168,198],"paper,":[27],"we":[28,134,192,224],"focus":[29],"on":[30,47],"large":[32,169,183],"scale":[33,170,184],"dataset":[34,68,82],"known":[35,219],"as":[36,69,114,121,154,187,207,220],"Digital":[38],"Bibliography":[39],"Library":[41],"Project":[42],"(DBLP),":[43],"which":[44],"contains":[45,90],"information":[46,57,166],"all":[48],"publications":[49,97],"that":[50,117],"published":[53],"computer":[55],"science":[58],"related":[59],"journals":[60],"conference":[62],"proceedings.":[63],"We":[64,108,252],"model":[65],"DBLP":[67,76,110,152,189],"social":[71,102,112],"network":[72,103,113,171],"research":[74],"collaborations.":[75],"is":[77,104,214],"structured":[79],"dynamic":[81],"stored":[83],"XML":[86],"file":[87],"format;":[88],"it":[89],"850,000":[92],"authors":[93,153],"2":[95],"million":[96],"resulting":[100],"collaboration":[101,111,127,149],"scale-free":[106],"network.":[107],"define":[109],"graph":[116,261,266],"consists":[118],"researchers":[120],"nodes":[122,274],"links":[124],"representing":[125],"researchers.":[130],"work,":[133],"implement":[135],"data":[137],"analysis":[138],"algorithm":[139],"called":[140,238],"Multidimensional":[141],"Scaling":[142],"(MDS)":[143],"represent":[145],"degree":[147],"Euclidean":[155],"distances":[156],"order":[158,242],"analyze,":[160],"mine":[161],"understand":[163],"relational":[165],"visual":[174],"way.":[175],"MDS":[176,203,212],"requires":[177],"highly":[179],"computational":[180],"for":[182],"graphs":[185],"such":[186],"graph.":[190,251],"Therefore,":[191],"propose":[193,254],"different":[194],"solutions":[195],"overcome":[197],"problem,":[199],"improve":[201],"performance.":[204],"addition,":[206],"quality":[209],"result":[213],"measured":[215],"by":[216,263],"metric":[218],"stress":[222,233,239],"value,":[223],"use":[225],"steepest":[227],"descent":[228],"method":[229],"minimize":[231],"an":[235],"iterative":[236],"process":[237],"optimization":[240],"generate":[244],"best":[246],"geometric":[247],"layout":[248],"also":[253],"solution":[256],"further":[258],"enhance":[259],"visualization":[262],"partitioning":[264],"into":[267],"sub-graphs":[268],"using":[270],"repelling":[271],"forces":[272],"within":[275],"same":[277],"sub-graph.":[278]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}