{"id":"https://openalex.org/W2910211698","doi":"https://doi.org/10.1109/aiccsa.2018.8612832","title":"Social Networks Analysis in a Business Intelligence Context","display_name":"Social Networks Analysis in a Business Intelligence Context","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2910211698","doi":"https://doi.org/10.1109/aiccsa.2018.8612832","mag":"2910211698"},"language":"en","primary_location":{"id":"doi:10.1109/aiccsa.2018.8612832","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa.2018.8612832","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACS 15th International Conference on Computer Systems and Applications (AICCSA)","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/A5019537062","display_name":"Raja Ayed","orcid":null},"institutions":[{"id":"https://openalex.org/I83259278","display_name":"Manouba University","ror":"https://ror.org/0503ejf32","country_code":"TN","type":"education","lineage":["https://openalex.org/I83259278"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Raja Ayed","raw_affiliation_strings":["RIADI Research Laboratory, ENSI, Manouba University, Manouba 2010, Tunisia"],"affiliations":[{"raw_affiliation_string":"RIADI Research Laboratory, ENSI, Manouba University, Manouba 2010, Tunisia","institution_ids":["https://openalex.org/I83259278"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5019537062"],"corresponding_institution_ids":["https://openalex.org/I83259278"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16924791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9998999834060669,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9987000226974487,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9987000226974487,"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":0.7780599594116211},{"id":"https://openalex.org/keywords/business-intelligence","display_name":"Business intelligence","score":0.6320708394050598},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.606850266456604},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.5477945804595947},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4739929437637329},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45558270812034607},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.42035722732543945},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.37563377618789673},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.28575897216796875},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2587651014328003}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7780599594116211},{"id":"https://openalex.org/C2767350","wikidata":"https://www.wikidata.org/wiki/Q6662173","display_name":"Business intelligence","level":2,"score":0.6320708394050598},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.606850266456604},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.5477945804595947},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4739929437637329},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45558270812034607},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.42035722732543945},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.37563377618789673},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28575897216796875},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2587651014328003},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aiccsa.2018.8612832","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa.2018.8612832","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACS 15th International Conference on Computer Systems and Applications (AICCSA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W78817961","https://openalex.org/W155995321","https://openalex.org/W950821216","https://openalex.org/W1489285575","https://openalex.org/W1500383076","https://openalex.org/W1560147776","https://openalex.org/W1971788485","https://openalex.org/W1980622548","https://openalex.org/W1997520998","https://openalex.org/W2014267653","https://openalex.org/W2017102965","https://openalex.org/W2061901927","https://openalex.org/W2078921992","https://openalex.org/W2114507260","https://openalex.org/W2125580539","https://openalex.org/W2139103617","https://openalex.org/W2146591355","https://openalex.org/W2168849769","https://openalex.org/W2230180359","https://openalex.org/W2413177923","https://openalex.org/W2520221388","https://openalex.org/W2570863224","https://openalex.org/W2587382542","https://openalex.org/W2668736619","https://openalex.org/W3152448956","https://openalex.org/W4211124088","https://openalex.org/W4246847091","https://openalex.org/W4298220769","https://openalex.org/W6643374887","https://openalex.org/W6680750539","https://openalex.org/W6681352393","https://openalex.org/W6843023902"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2807997669","https://openalex.org/W2913151401","https://openalex.org/W4293245862"],"abstract_inverted_index":{"Social":[0],"networks":[1,12,33,83,128],"provide":[2],"enormous":[3],"amounts":[4],"of":[5,9,20,29,57,100],"information.":[6,101],"The":[7],"analysis":[8,58,116],"these":[10],"complex":[11,32],"becomes":[13],"increasingly":[14],"approaching":[15],"by":[16],"the":[17,27,36,78,114],"recent":[18],"emergence":[19],"large":[21,30],"graph":[22,123],"databases.":[23],"These":[24],"databases":[25,64,93,124],"study":[26],"topology":[28],"and":[31,34,70],"keep":[35],"interaction":[37],"structure":[38],"between":[39],"their":[40],"entities.":[41],"Business":[42,85],"Intelligence":[43,86],"(BI)":[44],"proposes":[45],"new":[46,109],"simple":[47],"solutions":[48,73],"that":[49,74,94,111,125],"are":[50],"intended":[51],"to":[52,65,77,97,119],"offer":[53],"an":[54],"extensive":[55],"range":[56],"capabilities.":[59],"BI":[60,115],"tools":[61,87],"use":[62],"relational":[63,92],"build":[66],"big":[67],"data":[68,90],"platforms":[69],"integrate":[71],"information":[72],"lead":[75,96],"up":[76],"decision":[79],"making.":[80],"Analyzing":[81],"social":[82,127],"through":[84],"requires":[88],"putting":[89],"into":[91],"may":[95],"particular":[98],"loss":[99],"Hence,":[102],"we":[103],"propose,":[104],"in":[105],"this":[106],"paper,":[107],"a":[108],"approach":[110],"benefits":[112],"from":[113],"process":[117],"conveniences":[118],"apply":[120],"them":[121],"on":[122],"stores":[126],"data.":[129]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}