{"id":"https://openalex.org/W2092932618","doi":"https://doi.org/10.1145/1754428.1754430","title":"Analyzing knowledge communities using foreground and background clusters","display_name":"Analyzing knowledge communities using foreground and background clusters","publication_year":2010,"publication_date":"2010-05-01","ids":{"openalex":"https://openalex.org/W2092932618","doi":"https://doi.org/10.1145/1754428.1754430","mag":"2092932618"},"language":"en","primary_location":{"id":"doi:10.1145/1754428.1754430","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1754428.1754430","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"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 Knowledge Discovery from Data","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/A5067964901","display_name":"Vasileios Kandylas","orcid":"https://orcid.org/0009-0000-0369-4034"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Vasileios Kandylas","raw_affiliation_strings":["University of Pennsylvania, Pennsylvania"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Pennsylvania","institution_ids":["https://openalex.org/I36788626"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073323127","display_name":"S. Phineas Upham","orcid":null},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Phineas Upham","raw_affiliation_strings":["University of Pennsylvania, Pennsylvania"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Pennsylvania","institution_ids":["https://openalex.org/I36788626"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044944954","display_name":"Lyle Ungar","orcid":"https://orcid.org/0000-0003-2047-1443"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lyle H. Ungar","raw_affiliation_strings":["University of Pennsylvania, Pennsylvania"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Pennsylvania","institution_ids":["https://openalex.org/I36788626"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067964901"],"corresponding_institution_ids":["https://openalex.org/I36788626"],"apc_list":null,"apc_paid":null,"fwci":1.6182,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.84806463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"4","issue":"2","first_page":"1","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9918000102043152,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9729999899864197,"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/vocabulary","display_name":"Vocabulary","score":0.7159087657928467},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6264435648918152},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.6230452060699463},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6182068586349487},{"id":"https://openalex.org/keywords/citation","display_name":"Citation","score":0.5919969081878662},{"id":"https://openalex.org/keywords/prestige","display_name":"Prestige","score":0.49577316641807556},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.47831156849861145},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.44588908553123474},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2761608362197876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2599641680717468},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.10308292508125305}],"concepts":[{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.7159087657928467},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6264435648918152},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6230452060699463},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6182068586349487},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.5919969081878662},{"id":"https://openalex.org/C2778329345","wikidata":"https://www.wikidata.org/wiki/Q919978","display_name":"Prestige","level":2,"score":0.49577316641807556},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.47831156849861145},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.44588908553123474},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2761608362197876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2599641680717468},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.10308292508125305},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1754428.1754430","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1754428.1754430","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"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 Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":83,"referenced_works":["https://openalex.org/W183030605","https://openalex.org/W1487588218","https://openalex.org/W1495317527","https://openalex.org/W1503428008","https://openalex.org/W1506442264","https://openalex.org/W1528905581","https://openalex.org/W1591304050","https://openalex.org/W1600582725","https://openalex.org/W1651093245","https://openalex.org/W1673310716","https://openalex.org/W1689060901","https://openalex.org/W1749485691","https://openalex.org/W1772739125","https://openalex.org/W1790954942","https://openalex.org/W1880262756","https://openalex.org/W1968578768","https://openalex.org/W1972021247","https://openalex.org/W1978291089","https://openalex.org/W1978521871","https://openalex.org/W1984374364","https://openalex.org/W1986007546","https://openalex.org/W1992419399","https://openalex.org/W1994378550","https://openalex.org/W1996510517","https://openalex.org/W2001082470","https://openalex.org/W2015030300","https://openalex.org/W2020423193","https://openalex.org/W2022996068","https://openalex.org/W2028674563","https://openalex.org/W2049633694","https://openalex.org/W2055667921","https://openalex.org/W2065573974","https://openalex.org/W2069442814","https://openalex.org/W2070405287","https://openalex.org/W2070412788","https://openalex.org/W2072644219","https://openalex.org/W2076533762","https://openalex.org/W2094052362","https://openalex.org/W2095897464","https://openalex.org/W2097089247","https://openalex.org/W2097645701","https://openalex.org/W2097978133","https://openalex.org/W2103986443","https://openalex.org/W2106490129","https://openalex.org/W2111708605","https://openalex.org/W2114473842","https://openalex.org/W2114705614","https://openalex.org/W2118645678","https://openalex.org/W2118668678","https://openalex.org/W2119156101","https://openalex.org/W2119828730","https://openalex.org/W2122278421","https://openalex.org/W2123297508","https://openalex.org/W2125884411","https://openalex.org/W2127097022","https://openalex.org/W2131889330","https://openalex.org/W2133576408","https://openalex.org/W2138072998","https://openalex.org/W2138102997","https://openalex.org/W2140000690","https://openalex.org/W2142238480","https://openalex.org/W2147869097","https://openalex.org/W2152331887","https://openalex.org/W2154122057","https://openalex.org/W2155640700","https://openalex.org/W2155943803","https://openalex.org/W2156154468","https://openalex.org/W2164284962","https://openalex.org/W2168190036","https://openalex.org/W2169446650","https://openalex.org/W2171343266","https://openalex.org/W2171377552","https://openalex.org/W2317171813","https://openalex.org/W2434205482","https://openalex.org/W2560674852","https://openalex.org/W2591957553","https://openalex.org/W3121402432","https://openalex.org/W3124567902","https://openalex.org/W3125349408","https://openalex.org/W4285719527","https://openalex.org/W4300313809","https://openalex.org/W4301861531","https://openalex.org/W6637231022"],"related_works":["https://openalex.org/W4206817137","https://openalex.org/W2000180009","https://openalex.org/W4244475583","https://openalex.org/W2995742296","https://openalex.org/W2382603448","https://openalex.org/W2978273625","https://openalex.org/W2370250130","https://openalex.org/W2388819925","https://openalex.org/W2372329102","https://openalex.org/W2079321564"],"abstract_inverted_index":{"Insight":[0],"into":[1],"the":[2,22,35,42,67,70,73,76,81,89,95,133,139,149],"growth":[3,93],"(or":[4],"shrinkage)":[5],"of":[6,9,26,28,72,80,91,97,135],"\u201cknowledge":[7],"communities\u201d":[8],"authors":[10,82],"that":[11,107,128,130],"build":[12,60,119],"on":[13,34,66,120,132],"each":[14],"other's":[15],"work":[16],"can":[17],"be":[18,103],"gained":[19],"by":[20],"studying":[21],"evolution":[23],"over":[24],"time":[25],"clusters":[27,50],"documents.":[29],"We":[30,59,105],"cluster":[31],"documents":[32,36],"based":[33,65],"they":[37],"cite":[38],"in":[39,55,145],"common":[40],"using":[41],"Streemer":[43],"clustering":[44],"method,":[45],"which":[46],"finds":[47],"cohesive":[48],"foreground":[49],"(the":[51],"knowledge":[52,109],"communities)":[53],"embedded":[54],"a":[56,100,136],"diffuse":[57],"background.":[58],"predictive":[61],"models":[62,86],"with":[63],"features":[64],"citation":[68],"structure,":[69],"vocabulary":[71,126],"papers,":[74],"and":[75,78,83,94,123,127],"affiliations":[77],"prestige":[79],"use":[84,124],"these":[85],"to":[87,112],"study":[88],"drivers":[90],"community":[92,137,147],"predictors":[96],"how":[98],"widely":[99],"paper":[101],"will":[102],"cited.":[104],"find":[106],"scientific":[108],"communities":[110],"tend":[111],"grow":[113],"more":[114],"rapidly":[115],"if":[116],"their":[117],"publications":[118],"diverse":[121],"information":[122],"narrow":[125],"papers":[129],"lie":[131],"periphery":[134],"have":[138,148],"highest":[140],"impact,":[141],"while":[142],"those":[143],"not":[144],"any":[146],"lowest":[150],"impact.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}