{"id":"https://openalex.org/W2898558119","doi":"https://doi.org/10.1109/asonam.2018.8508767","title":"A Framework for Predicting Links Between Indirectly Interacting Nodes","display_name":"A Framework for Predicting Links Between Indirectly Interacting Nodes","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2898558119","doi":"https://doi.org/10.1109/asonam.2018.8508767","mag":"2898558119"},"language":"en","primary_location":{"id":"doi:10.1109/asonam.2018.8508767","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2018.8508767","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5041104942","display_name":"Laxmi Amulya Gundala","orcid":null},"institutions":[{"id":"https://openalex.org/I120156002","display_name":"Boise State University","ror":"https://ror.org/02e3zdp86","country_code":"US","type":"education","lineage":["https://openalex.org/I120156002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Laxmi Amulya Gundala","raw_affiliation_strings":["Computer Science Department, Boise State University, Boise, ID"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Boise State University, Boise, ID","institution_ids":["https://openalex.org/I120156002"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045206246","display_name":"Francesca Spezzano","orcid":"https://orcid.org/0000-0002-0361-9728"},"institutions":[{"id":"https://openalex.org/I120156002","display_name":"Boise State University","ror":"https://ror.org/02e3zdp86","country_code":"US","type":"education","lineage":["https://openalex.org/I120156002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Francesca Spezzano","raw_affiliation_strings":["Computer Science Department, Boise State University, Boise, ID"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Boise State University, Boise, ID","institution_ids":["https://openalex.org/I120156002"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I120156002"],"apc_list":null,"apc_paid":null,"fwci":0.6782,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68488309,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"30","issue":null,"first_page":"544","last_page":"551"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":1.0,"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":1.0,"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":0.9997000098228455,"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":0.9919000267982483,"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":0.7444290518760681},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5421797037124634},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5285666584968567},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.4987814426422119},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4785919189453125},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4692547023296356},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4477541148662567},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4330449104309082},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3641875386238098},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32818180322647095},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.13053709268569946}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7444290518760681},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5421797037124634},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5285666584968567},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.4987814426422119},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4785919189453125},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4692547023296356},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4477541148662567},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4330449104309082},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3641875386238098},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32818180322647095},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.13053709268569946},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/asonam.2018.8508767","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2018.8508767","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarworks.boisestate.edu:cs_facpubs-1189","is_oa":false,"landing_page_url":"https://scholarworks.boisestate.edu/cs_facpubs/184","pdf_url":null,"source":{"id":"https://openalex.org/S4306400258","display_name":"ScholarWorks (Boise State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I120156002","host_organization_name":"Boise State University","host_organization_lineage":["https://openalex.org/I120156002"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computer Science Faculty Publications and Presentations","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W34646664","https://openalex.org/W164646593","https://openalex.org/W188608978","https://openalex.org/W1562161258","https://openalex.org/W1888005072","https://openalex.org/W1983504099","https://openalex.org/W1994618970","https://openalex.org/W2037933327","https://openalex.org/W2066636486","https://openalex.org/W2086510043","https://openalex.org/W2090883204","https://openalex.org/W2107569009","https://openalex.org/W2112935688","https://openalex.org/W2118129996","https://openalex.org/W2118169662","https://openalex.org/W2124142520","https://openalex.org/W2149668059","https://openalex.org/W2153204928","https://openalex.org/W2154851992","https://openalex.org/W2159762614","https://openalex.org/W2166293769","https://openalex.org/W2168627253","https://openalex.org/W2256429733","https://openalex.org/W2267899723","https://openalex.org/W2522083796","https://openalex.org/W2533824555","https://openalex.org/W2585303511","https://openalex.org/W2585835859","https://openalex.org/W2603268606","https://openalex.org/W2612872092","https://openalex.org/W2747986904","https://openalex.org/W2769009814","https://openalex.org/W2790187497","https://openalex.org/W2962756421","https://openalex.org/W2963232127","https://openalex.org/W3104097132","https://openalex.org/W4232932184","https://openalex.org/W6601364618","https://openalex.org/W6606618240","https://openalex.org/W6667169455","https://openalex.org/W6737923298","https://openalex.org/W6743272106"],"related_works":["https://openalex.org/W1518185400","https://openalex.org/W3200586296","https://openalex.org/W4230332972","https://openalex.org/W1998033311","https://openalex.org/W4247322236","https://openalex.org/W4231165741","https://openalex.org/W1762272577","https://openalex.org/W4206960768","https://openalex.org/W4229899156","https://openalex.org/W1787322086"],"abstract_inverted_index":{"Link":[0],"prediction":[1,117,269],"is":[2,69,229,279],"the":[3,20,43,56,64,88,93,115,136,147,176,197,210,216,227,243,257,275],"problem":[4,144,217],"of":[5,114,122,150,173,180,206,262],"inferring":[6],"new":[7,112,231],"relationships":[8],"among":[9],"nodes":[10,45,74,84,165],"in":[11,19,87,92,135,167,196],"a":[12,111,120,133,140,168,171,182,223,267],"network":[13,90,283],"that":[14,81,145,251,271],"are":[15,46,233],"likely":[16],"to":[17,38,71,142,159,185,236],"occur":[18],"near":[21],"future.":[22,137,198],"Classical":[23],"approaches":[24,158],"mainly":[25],"consider":[26,274],"neighborhood":[27],"structure":[28],"similarity":[29],"when":[30],"linking":[31],"nodes.":[32],"However,":[33],"we":[34,79,108],"may":[35],"also":[36],"want":[37],"take":[39],"into":[40],"account":[41],"if":[42,51,78],"two":[44,73,83,155,164],"already":[47],"indirectly":[48,123],"interacting":[49,124],"and":[50,76,153,201,246,264,278],"they":[52,130],"will":[53,85,100,131,163,194,212],"benefit":[54],"from":[55],"link":[57,72,116,134,268],"by":[58,214],"having":[59],"an":[60,190,260],"active":[61],"interaction":[62,152,193,211,276],"over":[63],"time.":[65],"For":[66],"instance,":[67],"it":[68],"better":[70],"u":[75],"v":[77],"know":[80],"these":[82],"interact":[86,102,166],"social":[89],"even":[91],"future,":[94],"rather":[95],"than":[96],"suggesting":[97],"v',":[98],"who":[99],"never":[101],"with":[103,110,259],"u.":[104],"In":[105],"this":[106,143],"paper,":[107],"deal":[109],"variant":[113],"problem:":[118],"given":[119],"pair":[121],"nodes,":[125],"predict":[126,160,186],"whether":[127,187],"or":[128,188,221],"not":[129,189,273],"form":[132],"We":[138],"propose":[139,154],"solution":[141],"leverages":[146],"predicted":[148,234],"duration":[149,228,277],"their":[151,237],"supervised":[156],"learning":[157,181],"how":[161,208],"long":[162,209],"network.":[169],"Given":[170],"set":[172],"network-based":[174],"predictors,":[175],"basic":[177],"approach":[178,204,255],"consists":[179,205],"binary":[183],"classifier":[184],"observed":[191],"indirect":[192],"last":[195,213],"The":[199],"second":[200],"more":[202,253],"fine-grained":[203,254],"estimating":[207],"modeling":[215],"via":[218],"survival":[219],"analysis":[220],"as":[222],"regression":[224],"task.":[225],"Once":[226],"estimated,":[230],"links":[232],"according":[235],"descending":[238],"order.":[239],"Experimental":[240],"results":[241],"on":[242,282],"Facebook":[244],"Network":[245],"Wall":[247],"Interaction":[248],"dataset":[249],"show":[250],"our":[252],"performs":[256],"best":[258],"AUROC":[261],"0.85":[263],"clearly":[265],"beats":[266],"model":[270],"does":[272],"based":[280],"only":[281],"properties.":[284]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-08-27T14:10:00.468798","created_date":"2025-10-10T00:00:00"}
