{"id":"https://openalex.org/W2048392812","doi":"https://doi.org/10.1145/775152.775227","title":"Mining newsgroups using networks arising from social behavior","display_name":"Mining newsgroups using networks arising from social behavior","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W2048392812","doi":"https://doi.org/10.1145/775152.775227","mag":"2048392812"},"language":"en","primary_location":{"id":"doi:10.1145/775152.775227","is_oa":false,"landing_page_url":"https://doi.org/10.1145/775152.775227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the twelfth international conference on World Wide Web  - WWW '03","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/A5071177661","display_name":"Rakesh Agrawal","orcid":"https://orcid.org/0000-0002-6746-9829"},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rakesh Agrawal","raw_affiliation_strings":["IBM Almaden Research Center, San Jose, CA","IBM Almaden Research Center San Jose , CA"],"affiliations":[{"raw_affiliation_string":"IBM Almaden Research Center, San Jose, CA","institution_ids":["https://openalex.org/I4210085935"]},{"raw_affiliation_string":"IBM Almaden Research Center San Jose , CA","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104023644","display_name":"Sridhar Rajagopalan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sridhar Rajagopalan","raw_affiliation_strings":["IBM Almaden Research Center, San Jose, CA","IBM Almaden Research Center San Jose , CA"],"affiliations":[{"raw_affiliation_string":"IBM Almaden Research Center, San Jose, CA","institution_ids":["https://openalex.org/I4210085935"]},{"raw_affiliation_string":"IBM Almaden Research Center San Jose , CA","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042887703","display_name":"Ramakrishnan Srikant","orcid":null},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ramakrishnan Srikant","raw_affiliation_strings":["IBM Almaden Research Center, San Jose, CA","IBM Almaden Research Center San Jose , CA"],"affiliations":[{"raw_affiliation_string":"IBM Almaden Research Center, San Jose, CA","institution_ids":["https://openalex.org/I4210085935"]},{"raw_affiliation_string":"IBM Almaden Research Center San Jose , CA","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111476724","display_name":"Yirong Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yirong Xu","raw_affiliation_strings":["IBM Almaden Research Center, San Jose, CA","IBM Almaden Research Center San Jose , CA"],"affiliations":[{"raw_affiliation_string":"IBM Almaden Research Center, San Jose, CA","institution_ids":["https://openalex.org/I4210085935"]},{"raw_affiliation_string":"IBM Almaden Research Center San Jose , CA","institution_ids":["https://openalex.org/I4210085935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5071177661"],"corresponding_institution_ids":["https://openalex.org/I4210085935"],"apc_list":null,"apc_paid":null,"fwci":9.9071,"has_fulltext":false,"cited_by_count":290,"citation_normalized_percentile":{"value":0.98802993,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"529","last_page":"529"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9940999746322632,"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":0.993399977684021,"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":0.7329091429710388},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.6464554071426392},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.6037691831588745},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5897232890129089},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5562710762023926},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48963838815689087},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4779210686683655},{"id":"https://openalex.org/keywords/link-analysis","display_name":"Link analysis","score":0.4359019994735718},{"id":"https://openalex.org/keywords/linkage","display_name":"Linkage (software)","score":0.4210891127586365},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35460180044174194},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3390165865421295},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3329315483570099},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3259570598602295},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2952086925506592},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.14071473479270935},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12275704741477966},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10458716750144958}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7329091429710388},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.6464554071426392},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.6037691831588745},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5897232890129089},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5562710762023926},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48963838815689087},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4779210686683655},{"id":"https://openalex.org/C1173588","wikidata":"https://www.wikidata.org/wiki/Q6554294","display_name":"Link analysis","level":2,"score":0.4359019994735718},{"id":"https://openalex.org/C31266012","wikidata":"https://www.wikidata.org/wiki/Q6554340","display_name":"Linkage (software)","level":3,"score":0.4210891127586365},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35460180044174194},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3390165865421295},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3329315483570099},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3259570598602295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2952086925506592},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.14071473479270935},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12275704741477966},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10458716750144958},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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":3,"locations":[{"id":"doi:10.1145/775152.775227","is_oa":false,"landing_page_url":"https://doi.org/10.1145/775152.775227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the twelfth international conference on World Wide Web  - WWW '03","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.14.6668","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.6668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.almaden.ibm.com/cs/people/srikant/papers/www03_social.ps.gz","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.85.1232","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.85.1232","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.qbic.almaden.ibm.com/cs/projects/iis/hdb/Publications/papers/www03_social.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1517113043","https://openalex.org/W1573579329","https://openalex.org/W1604280299","https://openalex.org/W1833785989","https://openalex.org/W1938542669","https://openalex.org/W1975442866","https://openalex.org/W1976611840","https://openalex.org/W1983629825","https://openalex.org/W2007278710","https://openalex.org/W2041979432","https://openalex.org/W2042123098","https://openalex.org/W2046325278","https://openalex.org/W2048679005","https://openalex.org/W2067976091","https://openalex.org/W2070232376","https://openalex.org/W2076008912","https://openalex.org/W2079656678","https://openalex.org/W2080905757","https://openalex.org/W2107008379","https://openalex.org/W2121250409","https://openalex.org/W2126185296","https://openalex.org/W2139212933","https://openalex.org/W2139578439","https://openalex.org/W2155048531","https://openalex.org/W2155328222","https://openalex.org/W2156909104","https://openalex.org/W2161455936","https://openalex.org/W2166706824","https://openalex.org/W2917997019","https://openalex.org/W3146306708","https://openalex.org/W3193477162","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4282976635","https://openalex.org/W2069592018","https://openalex.org/W2075740387","https://openalex.org/W2362702199","https://openalex.org/W2350014578","https://openalex.org/W2358990940","https://openalex.org/W1967666613","https://openalex.org/W2349784553","https://openalex.org/W2060472104","https://openalex.org/W3022596247"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,27,47,81,118],"information":[3,16],"retrieval":[4],"over":[5],"hyperlinked":[6],"corpora":[7],"have":[8],"convincingly":[9],"demonstrated":[10],"that":[11,100],"links":[12,89],"carry":[13],"less":[14],"noisy":[15],"than":[17,111],"text.":[18,192],"We":[19],"investigate":[20],"the":[21,48,68,71,83,88,122,138,142,170,174],"feasibility":[22],"of":[23,50,57,70,96,131,141,161,187,191],"applying":[24],"link-based":[25],"methods":[26,156],"new":[28],"applications":[29],"domains.":[30],"The":[31],"specific":[32],"application":[33],"we":[34,144],"consider":[35],"is":[36,99,117,128],"to":[37,78,105,121,147,178],"partition":[38],"authors":[39],"into":[40,151],"opposite":[41,152],"camps":[42],"within":[43],"a":[44,79,106],"given":[45],"topic":[46],"context":[49],"newsgroups.":[51],"A":[52],"typical":[53],"newsgroup":[54,184],"posting":[55,65],"consists":[56],"one":[58],"or":[59,133],"more":[60,102],"quoted":[61],"lines":[62],"from":[63],"another":[64],"followed":[66],"by":[67,173],"opinion":[69],"author.":[72],"This":[73,115],"social":[74],"behavior":[75,116],"gives":[76],"rise":[77],"network":[80],"which":[82],"vertices":[84],"are":[85,145],"individuals":[86],"and":[87,182],"represent":[90],"\"responded-to\"":[91],"relationships.":[92],"An":[93],"interesting":[94],"characteristic":[95],"many":[97,183],"newsgroups":[98],"people":[101,150],"frequently":[103],"respond":[104],"message":[107],"when":[108,112],"they":[109,113],"disagree":[110],"agree.":[114],"sharp":[119],"contrast":[120],"WWW":[123],"link":[124],"graph,":[125],"where":[126],"linkage":[127],"an":[129],"indicator":[130],"agreement":[132],"common":[134],"interest.":[135],"By":[136],"analyzing":[137],"graph":[139],"structure":[140],"responses,":[143],"able":[146],"effectively":[148],"classify":[149],"camps.":[153],"In":[154],"contrast,":[155],"based":[157],"on":[158,166],"statistical":[159],"analysis":[160],"text":[162],"yield":[163],"low":[164],"accuracy":[165],"such":[167],"datasets":[168],"because":[169],"vocabulary":[171],"used":[172],"two":[175],"sides":[176],"tends":[177],"be":[179],"largely":[180],"identical,":[181],"postings":[185],"consist":[186],"relatively":[188],"few":[189],"words":[190]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":31},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":15},{"year":2015,"cited_by_count":24},{"year":2014,"cited_by_count":15},{"year":2013,"cited_by_count":19},{"year":2012,"cited_by_count":21}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}