{"id":"https://openalex.org/W2159996892","doi":"https://doi.org/10.1145/1321440.1321565","title":"Improving the classification of newsgroup messages through social network analysis","display_name":"Improving the classification of newsgroup messages through social network analysis","publication_year":2007,"publication_date":"2007-11-06","ids":{"openalex":"https://openalex.org/W2159996892","doi":"https://doi.org/10.1145/1321440.1321565","mag":"2159996892"},"language":"en","primary_location":{"id":"doi:10.1145/1321440.1321565","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1321440.1321565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the sixteenth ACM conference on Conference on information and knowledge management","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/A5019788602","display_name":"Bla\u017e Fortuna","orcid":"https://orcid.org/0000-0002-8585-9388"},"institutions":[{"id":"https://openalex.org/I3006985408","display_name":"Jo\u017eef Stefan Institute","ror":"https://ror.org/05060sz93","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3006985408"]}],"countries":["SI"],"is_corresponding":true,"raw_author_name":"Blaz Fortuna","raw_affiliation_strings":["Institute Jo\u017eef Stefan, Ljubljana, Slovenia"],"affiliations":[{"raw_affiliation_string":"Institute Jo\u017eef Stefan, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I3006985408"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049590147","display_name":"Eduarda Mendes Rodrigues","orcid":"https://orcid.org/0009-0003-4086-3935"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Eduarda Mendes Rodrigues","raw_affiliation_strings":["Microsoft Research Ltd., Cambridge, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Ltd., Cambridge, United Kingdom","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113653594","display_name":"Nata\u0161a Mili\u0107-Frayling","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Natasa Milic-Frayling","raw_affiliation_strings":["Microsoft Research Ltd., Cambridge, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Ltd., Cambridge, United Kingdom","institution_ids":["https://openalex.org/I4210164937"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019788602"],"corresponding_institution_ids":["https://openalex.org/I3006985408"],"apc_list":null,"apc_paid":null,"fwci":4.3527,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.94526788,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"877","last_page":"880"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9987999796867371,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9980999827384949,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9976999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.678937554359436},{"id":"https://openalex.org/keywords/social-network-analysis","display_name":"Social network analysis","score":0.6482182741165161},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.5097708106040955},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.38215768337249756},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.27331048250198364},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.13060548901557922}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.678937554359436},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.6482182741165161},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.5097708106040955},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.38215768337249756},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.27331048250198364},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.13060548901557922}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1321440.1321565","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1321440.1321565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the sixteenth ACM conference on Conference on information and knowledge management","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.86.7159","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.86.7159","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.microsoft.com/is/pub/cikm585s-fortuna.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1964523936","https://openalex.org/W1971817345","https://openalex.org/W1997421210","https://openalex.org/W1999047234","https://openalex.org/W2037564172","https://openalex.org/W2048392812","https://openalex.org/W2055287819","https://openalex.org/W2099521584","https://openalex.org/W2116216325","https://openalex.org/W2119821739","https://openalex.org/W2126184790","https://openalex.org/W2141631351","https://openalex.org/W2149684865","https://openalex.org/W2149770420","https://openalex.org/W2151734548","https://openalex.org/W2166706824"],"related_works":["https://openalex.org/W4320063274","https://openalex.org/W2952662149","https://openalex.org/W3151710375","https://openalex.org/W2793616590","https://openalex.org/W2183090405","https://openalex.org/W2065835655","https://openalex.org/W2075666982","https://openalex.org/W3160699245","https://openalex.org/W2782955270","https://openalex.org/W2349928170"],"abstract_inverted_index":{"Improving":[0],"the":[1],"classification":[2],"of":[3],"newsgroup":[4],"messages":[5],"through":[6],"social":[7],"network":[8],"analysis.":[9]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}