{"id":"https://openalex.org/W1973522621","doi":"https://doi.org/10.1145/2757281","title":"Refining Social Graph Connectivity via Shortcut Edge Addition","display_name":"Refining Social Graph Connectivity via Shortcut Edge Addition","publication_year":2015,"publication_date":"2015-10-12","ids":{"openalex":"https://openalex.org/W1973522621","doi":"https://doi.org/10.1145/2757281","mag":"1973522621"},"language":"en","primary_location":{"id":"doi:10.1145/2757281","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2757281","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-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/A5008923918","display_name":"Manos Papagelis","orcid":"https://orcid.org/0000-0003-0138-2541"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Manos Papagelis","raw_affiliation_strings":["University of Toronto, Toronto ON, Canada","University of Toronto, Toronto, On, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto ON, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"University of Toronto, Toronto, On, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5008923918"],"corresponding_institution_ids":["https://openalex.org/I185261750"],"apc_list":null,"apc_paid":null,"fwci":4.2888,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.94334421,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"10","issue":"2","first_page":"1","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.991599977016449,"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/T11478","display_name":"Caching and Content Delivery","score":0.9550999999046326,"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":0.7123443484306335},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5916287899017334},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5651616454124451},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5015072822570801},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3438364565372467},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3390706777572632}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7123443484306335},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5916287899017334},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5651616454124451},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5015072822570801},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3438364565372467},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3390706777572632}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2757281","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2757281","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6800000071525574,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W19838944","https://openalex.org/W379337736","https://openalex.org/W934261879","https://openalex.org/W976211528","https://openalex.org/W1514107797","https://openalex.org/W1580292412","https://openalex.org/W1631603072","https://openalex.org/W1680189815","https://openalex.org/W1819194591","https://openalex.org/W1971421925","https://openalex.org/W1989453388","https://openalex.org/W1990305446","https://openalex.org/W1990389251","https://openalex.org/W1992899822","https://openalex.org/W1999101712","https://openalex.org/W2002452451","https://openalex.org/W2008620264","https://openalex.org/W2009786555","https://openalex.org/W2014889099","https://openalex.org/W2015953751","https://openalex.org/W2022980325","https://openalex.org/W2023015232","https://openalex.org/W2033281046","https://openalex.org/W2037933327","https://openalex.org/W2051699458","https://openalex.org/W2052618365","https://openalex.org/W2053572557","https://openalex.org/W2053913299","https://openalex.org/W2056609785","https://openalex.org/W2061820396","https://openalex.org/W2070232376","https://openalex.org/W2077191553","https://openalex.org/W2077486819","https://openalex.org/W2084224084","https://openalex.org/W2094234423","https://openalex.org/W2096423888","https://openalex.org/W2097740541","https://openalex.org/W2097915776","https://openalex.org/W2106285343","https://openalex.org/W2107569009","https://openalex.org/W2119738171","https://openalex.org/W2121470019","https://openalex.org/W2126257795","https://openalex.org/W2127503167","https://openalex.org/W2131717044","https://openalex.org/W2141403143","https://openalex.org/W2143996311","https://openalex.org/W2146008005","https://openalex.org/W2154897810","https://openalex.org/W2166588237","https://openalex.org/W2169140571","https://openalex.org/W2169528473","https://openalex.org/W2173213060","https://openalex.org/W2176550001","https://openalex.org/W2260080129","https://openalex.org/W2407891964","https://openalex.org/W2407931209","https://openalex.org/W2755088640","https://openalex.org/W2949270856","https://openalex.org/W2999817249","https://openalex.org/W3142588439","https://openalex.org/W4234462414","https://openalex.org/W4238955406"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2544423928","https://openalex.org/W2046435967","https://openalex.org/W2052122378","https://openalex.org/W2053286651","https://openalex.org/W4231775656","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2181413294"],"abstract_inverted_index":{"Small":[0],"changes":[1],"on":[2,13,25,51,166],"the":[3,18,22,35,60,78,91,112,134,137,151,194],"structure":[4],"of":[5,28,37,62,67,81,96,114,136,144,158,179,196,205],"a":[6,10,38,64,74,107,121,141,177,199,202],"graph":[7,20,29,40,76],"can":[8,104,148,192],"have":[9],"dramatic":[11],"effect":[12],"its":[14,47,83,117],"connectivity.":[15],"While":[16],"in":[17,34,73,153,198],"traditional":[19],"theory,":[21],"focus":[23],"is":[24,43],"well-defined":[26],"properties":[27],"connectivity,":[30],"such":[31],"as":[32],"biconnectivity,":[33],"context":[36],"social":[39,52,75],",":[41,126],"connectivity":[42],"typically":[44],"manifested":[45],"by":[46],"ability":[48],"to":[49,132],"carry":[50],"processes":[53],".":[54,87],"In":[55],"this":[56],"paper,":[57],"we":[58,171],"consider":[59],"problem":[61,113],"adding":[63],"small":[65],"set":[66],"nonexisting":[68],"edges":[69],"(":[70],"shortcuts":[71,131],")":[72],"with":[77],"main":[79],"objective":[80],"minimizing":[82],"characteristic":[84],"path":[85,124],"length":[86],"This":[88],"property":[89],"determines":[90],"average":[92],"distance":[93],"between":[94],"pairs":[95],"vertices":[97],"and":[98,119,168,190],"essentially":[99],"controls":[100],"how":[101],"broadly":[102],"information":[103,197],"propagate":[105],"through":[106],"network.":[108],"We":[109,139],"formally":[110,162],"define":[111],"interest,":[115],"characterize":[116],"hardness":[118],"propose":[120],"novel":[122],"method,":[123],"screening":[125],"which":[127],"quickly":[128],"identifies":[129],"important":[130],"guide":[133],"augmentation":[135],"graph.":[138],"devise":[140],"sampling-based":[142],"variant":[143],"our":[145,159,174],"method":[146],"that":[147,173],"scale":[149],"up":[150],"computation":[152],"larger":[154],"graphs.":[155],"The":[156],"claims":[157],"methods":[160,175],"are":[161,176],"validated.":[163],"Through":[164],"experiments":[165],"real":[167],"synthetic":[169],"data,":[170],"demonstrate":[172],"multitude":[178],"times":[180],"faster":[181],"than":[182],"standard":[183],"approaches,":[184],"their":[185],"accuracy":[186],"outperforms":[187],"sensible":[188],"baselines":[189],"they":[191],"ease":[193],"spread":[195],"network,":[200],"for":[201],"varying":[203],"range":[204],"conditions.":[206]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
