{"id":"https://openalex.org/W2055921502","doi":"https://doi.org/10.1145/2492517.2492529","title":"Which links should I use?","display_name":"Which links should I use?","publication_year":2013,"publication_date":"2013-08-25","ids":{"openalex":"https://openalex.org/W2055921502","doi":"https://doi.org/10.1145/2492517.2492529","mag":"2055921502"},"language":"en","primary_location":{"id":"doi:10.1145/2492517.2492529","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2492517.2492529","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining","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/A5008526364","display_name":"Alexey V. Uversky","orcid":null},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alexey Uversky","raw_affiliation_strings":["Temple University, Philadelphia, PA","Department of Computer and Information Science, Temple University, Philadelphia PA, USA"],"affiliations":[{"raw_affiliation_string":"Temple University, Philadelphia, PA","institution_ids":["https://openalex.org/I84392919"]},{"raw_affiliation_string":"Department of Computer and Information Science, Temple University, Philadelphia PA, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084402864","display_name":"Du\u0161an Ramljak","orcid":"https://orcid.org/0000-0001-7477-1973"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Du\u0161an Ramljak","raw_affiliation_strings":["Temple University, Philadelphia, PA","Department of Computer and Information Science, Temple University, Philadelphia PA, USA"],"affiliations":[{"raw_affiliation_string":"Temple University, Philadelphia, PA","institution_ids":["https://openalex.org/I84392919"]},{"raw_affiliation_string":"Department of Computer and Information Science, Temple University, Philadelphia PA, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085497926","display_name":"Vladan Radosavljevi\u0107","orcid":"https://orcid.org/0009-0006-9128-1101"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vladan Radosavljevi\u0107","raw_affiliation_strings":["Temple University, Philadelphia, PA","Department of Computer and Information Science, Temple University, Philadelphia PA, USA"],"affiliations":[{"raw_affiliation_string":"Temple University, Philadelphia, PA","institution_ids":["https://openalex.org/I84392919"]},{"raw_affiliation_string":"Department of Computer and Information Science, Temple University, Philadelphia PA, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046783666","display_name":"Kosta Ristovski","orcid":null},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kosta Ristovski","raw_affiliation_strings":["Temple University, Philadelphia, PA","Department of Computer and Information Science, Temple University, Philadelphia PA, USA"],"affiliations":[{"raw_affiliation_string":"Temple University, Philadelphia, PA","institution_ids":["https://openalex.org/I84392919"]},{"raw_affiliation_string":"Department of Computer and Information Science, Temple University, Philadelphia PA, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044038055","display_name":"Zoran Obradovi\u0107","orcid":"https://orcid.org/0000-0002-2051-0142"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zoran Obradovi\u0107","raw_affiliation_strings":["Temple University, Philadelphia, PA","Department of Computer and Information Science, Temple University, Philadelphia PA, USA"],"affiliations":[{"raw_affiliation_string":"Temple University, Philadelphia, PA","institution_ids":["https://openalex.org/I84392919"]},{"raw_affiliation_string":"Department of Computer and Information Science, Temple University, Philadelphia PA, USA","institution_ids":["https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5008526364"],"corresponding_institution_ids":["https://openalex.org/I84392919"],"apc_list":null,"apc_paid":null,"fwci":0.7483,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.72331112,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"676","last_page":"683"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T11106","display_name":"Data Management and Algorithms","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9958000183105469,"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":0.7950792908668518},{"id":"https://openalex.org/keywords/multigraph","display_name":"Multigraph","score":0.689132571220398},{"id":"https://openalex.org/keywords/intuition","display_name":"Intuition","score":0.6762328743934631},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.607765257358551},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5793753266334534},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5579278469085693},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4658665657043457},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.45136475563049316},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4428233206272125},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.43994566798210144},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4165956974029541},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4123905897140503},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.24435260891914368},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11584162712097168}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7950792908668518},{"id":"https://openalex.org/C17758045","wikidata":"https://www.wikidata.org/wiki/Q2642629","display_name":"Multigraph","level":3,"score":0.689132571220398},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.6762328743934631},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.607765257358551},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5793753266334534},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5579278469085693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4658665657043457},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.45136475563049316},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4428233206272125},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.43994566798210144},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4165956974029541},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4123905897140503},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.24435260891914368},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11584162712097168},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2492517.2492529","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2492517.2492529","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G725709688","display_name":null,"funder_award_id":"FA9550-12-1-0406","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"}],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1544526228","https://openalex.org/W1549917641","https://openalex.org/W1766290689","https://openalex.org/W1992331468","https://openalex.org/W2014819518","https://openalex.org/W2032884174","https://openalex.org/W2085832817","https://openalex.org/W2105060667","https://openalex.org/W2124470082","https://openalex.org/W2127847374","https://openalex.org/W2147880316","https://openalex.org/W2159973364","https://openalex.org/W2167032986","https://openalex.org/W2394638270","https://openalex.org/W2540043850"],"related_works":["https://openalex.org/W2781078086","https://openalex.org/W2114952748","https://openalex.org/W2914213999","https://openalex.org/W2604238334","https://openalex.org/W2380420450","https://openalex.org/W2059954821","https://openalex.org/W1983162902","https://openalex.org/W1549308032","https://openalex.org/W2036296291","https://openalex.org/W176042955"],"abstract_inverted_index":{"When":[0],"faced":[1],"with":[2,105,199],"the":[3,23,32,46,122,136,150,203],"task":[4],"of":[5,22,48,62,77,101,117,138,152,159],"forming":[6],"predictions":[7],"for":[8,31,79,97,113],"nodes":[9,27,120],"in":[10,70,121,190],"a":[11,74,91,106,184],"social":[12,103],"network,":[13],"it":[14,63],"can":[15,196],"be":[16,29,53,65,197],"quite":[17],"difficult":[18],"to":[19,134,142,156,182,201],"decide":[20],"which":[21,60],"available":[24],"connections":[25],"among":[26],"should":[28,52,64],"used":[30],"best":[33],"results.":[34],"This":[35],"problem":[36],"is":[37,43],"further":[38,143],"exacerbated":[39],"when":[40],"temporal":[41,102],"information":[42,51],"available,":[44],"prompting":[45],"question":[47],"whether":[49],"this":[50,68],"aggregated":[54],"or":[55],"not,":[56,59],"and":[57,171,195],"if":[58],"portions":[61],"used.":[66],"With":[67],"challenge":[69],"mind,":[71],"we":[72],"propose":[73],"novel":[75],"utilization":[76],"variograms":[78,176],"selecting":[80],"potentially":[81],"useful":[82,185],"relationship":[83],"types,":[84],"whose":[85],"merits":[86],"are":[87,178],"then":[88],"evaluated":[89],"using":[90,131,153,164],"Gaussian":[92],"Conditional":[93],"Random":[94],"Field":[95],"model":[96,111],"node":[98],"attribute":[99],"prediction":[100],"networks":[104],"multigraph":[107],"structure.":[108],"Our":[109],"flexible":[110],"allows":[112],"measuring":[114],"many":[115],"kinds":[116],"relationships":[118,133,155,166],"between":[119],"network":[123],"that":[124,163,174],"evolve":[125],"over":[126],"time,":[127],"as":[128,130],"well":[129],"those":[132],"augment":[135],"outputs":[137],"various":[139],"unstructured":[140,160],"predictors":[141],"improve":[144],"performance.":[145],"The":[146],"experimental":[147],"results":[148],"exhibit":[149],"effectiveness":[151],"particular":[154],"boost":[157],"performance":[158],"predictors,":[161],"show":[162],"other":[165],"could":[167],"actually":[168],"impede":[169],"performance,":[170],"also":[172],"indicate":[173],"while":[175],"alone":[177],"not":[179],"necessarily":[180],"sufficient":[181],"identify":[183,202],"relationship,":[186],"they":[187],"greatly":[188],"help":[189],"removing":[191],"obviously":[192],"useless":[193],"measures,":[194],"combined":[198],"intuition":[200],"optimal":[204],"relationships.":[205]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}