{"id":"https://openalex.org/W7117467281","doi":"https://doi.org/10.1109/access.2025.3649319","title":"An Exploratory Survey on the Use of Graph Algorithms in Analysis of Social Networks","display_name":"An Exploratory Survey on the Use of Graph Algorithms in Analysis of Social Networks","publication_year":2025,"publication_date":"2025-12-29","ids":{"openalex":"https://openalex.org/W7117467281","doi":"https://doi.org/10.1109/access.2025.3649319"},"language":null,"primary_location":{"id":"doi:10.1109/access.2025.3649319","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3649319","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3649319","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5121460943","display_name":"Udochukwu Nwandikom","orcid":null},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Udochukwu Nwandikom","raw_affiliation_strings":["Department of Computer Science, Texas Tech University, Lubbock, TX, USA"],"raw_orcid":"https://orcid.org/0009-0000-3394-3185","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Texas Tech University, Lubbock, TX, USA","institution_ids":["https://openalex.org/I12315562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026464816","display_name":"Akbar Siami Namin","orcid":"https://orcid.org/0000-0002-1646-7495"},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Akbar Siami Namin","raw_affiliation_strings":["Department of Computer Science, Texas Tech University, Lubbock, TX, USA"],"raw_orcid":"https://orcid.org/0000-0002-1646-7495","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Texas Tech University, Lubbock, TX, USA","institution_ids":["https://openalex.org/I12315562"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.64658308,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"2850","last_page":"2867"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.7135999798774719,"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":0.7135999798774719,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.10980000346899033,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.03460000082850456,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.5960000157356262},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.5903000235557556},{"id":"https://openalex.org/keywords/social-network-analysis","display_name":"Social network analysis","score":0.515999972820282},{"id":"https://openalex.org/keywords/expansive","display_name":"Expansive","score":0.5077000260353088},{"id":"https://openalex.org/keywords/social-graph","display_name":"Social graph","score":0.4982999861240387},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4959999918937683},{"id":"https://openalex.org/keywords/multitude","display_name":"Multitude","score":0.4672999978065491},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.4406999945640564},{"id":"https://openalex.org/keywords/network-science","display_name":"Network science","score":0.39640000462532043}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8054999709129333},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.5960000157356262},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.5903000235557556},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.515999972820282},{"id":"https://openalex.org/C2780502288","wikidata":"https://www.wikidata.org/wiki/Q28838156","display_name":"Expansive","level":3,"score":0.5077000260353088},{"id":"https://openalex.org/C2777522414","wikidata":"https://www.wikidata.org/wiki/Q648457","display_name":"Social graph","level":3,"score":0.4982999861240387},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4959999918937683},{"id":"https://openalex.org/C2780565519","wikidata":"https://www.wikidata.org/wiki/Q1208937","display_name":"Multitude","level":2,"score":0.4672999978065491},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4498000144958496},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.4406999945640564},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.41530001163482666},{"id":"https://openalex.org/C137753397","wikidata":"https://www.wikidata.org/wiki/Q2434424","display_name":"Network science","level":3,"score":0.39640000462532043},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.38260000944137573},{"id":"https://openalex.org/C85973986","wikidata":"https://www.wikidata.org/wiki/Q1091731","display_name":"Exploratory research","level":2,"score":0.3628000020980835},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.34689998626708984},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.3452000021934509},{"id":"https://openalex.org/C62886766","wikidata":"https://www.wikidata.org/wiki/Q17013138","display_name":"Organizational network analysis","level":3,"score":0.3416000008583069},{"id":"https://openalex.org/C3018260909","wikidata":"https://www.wikidata.org/wiki/Q1322871","display_name":"Exploratory analysis","level":2,"score":0.32589998841285706},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.32179999351501465},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.31869998574256897},{"id":"https://openalex.org/C106937863","wikidata":"https://www.wikidata.org/wiki/Q7236518","display_name":"Power graph analysis","level":3,"score":0.3057999908924103},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.3052999973297119},{"id":"https://openalex.org/C2779773260","wikidata":"https://www.wikidata.org/wiki/Q11246292","display_name":"Signed graph","level":3,"score":0.29159998893737793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28200000524520874},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27489998936653137},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C74216064","wikidata":"https://www.wikidata.org/wiki/Q615684","display_name":"Social computing","level":3,"score":0.26910001039505005},{"id":"https://openalex.org/C2988224531","wikidata":"https://www.wikidata.org/wiki/Q20830730","display_name":"Network structure","level":2,"score":0.25200000405311584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/access.2025.3649319","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3649319","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3649319","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3649319","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6741418838500977}],"awards":[{"id":"https://openalex.org/G4440925640","display_name":null,"funder_award_id":"2319802","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W21469323","https://openalex.org/W241117969","https://openalex.org/W1777560676","https://openalex.org/W1973846084","https://openalex.org/W1980331354","https://openalex.org/W2025712653","https://openalex.org/W2028695285","https://openalex.org/W2041674229","https://openalex.org/W2104736343","https://openalex.org/W2121761994","https://openalex.org/W2137135938","https://openalex.org/W2168380307","https://openalex.org/W2280871022","https://openalex.org/W2335008118","https://openalex.org/W2476899828","https://openalex.org/W2561978071","https://openalex.org/W2759363628","https://openalex.org/W2783044580","https://openalex.org/W2790345926","https://openalex.org/W2799960885","https://openalex.org/W2886783363","https://openalex.org/W2901693736","https://openalex.org/W2907170049","https://openalex.org/W2914741009","https://openalex.org/W2922616448","https://openalex.org/W2963794747","https://openalex.org/W2964819907","https://openalex.org/W2976688833","https://openalex.org/W2989900296","https://openalex.org/W2998154301","https://openalex.org/W3004125461","https://openalex.org/W3008535402","https://openalex.org/W3011697183","https://openalex.org/W3012145048","https://openalex.org/W3033706928","https://openalex.org/W3035103671","https://openalex.org/W3042894587","https://openalex.org/W3082671174","https://openalex.org/W3151060989","https://openalex.org/W3160270335","https://openalex.org/W3167854658","https://openalex.org/W3171460137","https://openalex.org/W3210611486","https://openalex.org/W3210884000","https://openalex.org/W3212725926","https://openalex.org/W4225815186","https://openalex.org/W4234272150","https://openalex.org/W4251614593","https://openalex.org/W4281388457","https://openalex.org/W4289534048","https://openalex.org/W4294576854","https://openalex.org/W4312701586","https://openalex.org/W4360584499","https://openalex.org/W4383501542","https://openalex.org/W4388893587"],"related_works":[],"abstract_inverted_index":{"A":[0],"social":[1,14,57,98,118,140,184],"network":[2,119,185],"is":[3,65,129],"a":[4,130,133,149,160,166],"web":[5],"of":[6,21,31,62,70,84,110,132,139,175],"connections":[7],"between":[8],"individuals":[9],"or":[10,54,80],"groups.":[11],"These":[12],"expansive":[13],"networks":[15,89],"can":[16],"encompass":[17],"thousands":[18],"to":[19,66],"millions":[20],"nodes,":[22],"providing":[23],"valuable":[24],"insights":[25],"into":[26,125,148],"the":[27,42,55,71,82,97,108,122,137,171,176,180],"structures":[28],"and":[29,100,113,143,158,173],"characteristics":[30],"these":[32,47,88,111,156],"networks.":[33],"<italic":[34],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[35],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Social":[36],"Network":[37],"Analysis":[38],"(SNA)</i>":[39],"serves":[40],"as":[41,76,92],"established":[43],"methodology":[44],"for":[45],"exploring":[46],"structures,":[48],"whether":[49,74],"among":[50],"individual":[51,85],"entities,":[52],"groups,":[53],"entire":[56],"network.":[58],"The":[59],"primary":[60],"objective":[61],"this":[63,126],"analysis":[64,141,186],"gain":[67],"an":[68,77],"understanding":[69],"network\u2019s":[72],"properties,":[73],"considered":[75],"integrated":[78],"whole":[79],"through":[81],"examination":[83],"nodes.":[86],"Typically,":[87],"are":[90],"represented":[91],"graphs,":[93],"where":[94],"nodes":[95],"symbolize":[96],"entities":[99],"edges":[101],"signify":[102],"their":[103,144],"relationships.":[104],"Graph":[105],"algorithms":[106,147],"enable":[107],"study":[109,154,168],"graphs":[112],"have":[114],"become":[115],"essential":[116],"in":[117,183],"analysis.":[120],"Despite":[121],"extensive":[123],"research":[124],"area,":[127],"there":[128],"lack":[131],"holistic":[134],"viewthat":[135],"consolidates":[136],"multitude":[138],"tasks":[142,157],"associated":[145],"graph":[146],"single":[150],"practical":[151],"guide.":[152],"This":[153],"identifies":[155],"provides":[159],"practical,":[161],"step-by-step":[162],"guide,":[163],"supported":[164],"by":[165],"case":[167],"that":[169],"demonstrates":[170],"viability":[172],"usability":[174],"framework,":[177],"thereby":[178],"bridging":[179],"theory-practice":[181],"gap":[182],"literature.":[187]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-12-29T00:00:00"}