{"id":"https://openalex.org/W2771020579","doi":"https://doi.org/10.1145/3110025.3110033","title":"Flow-Aware Vertex Protection Strategy on Large Social Networks","display_name":"Flow-Aware Vertex Protection Strategy on Large Social Networks","publication_year":2017,"publication_date":"2017-07-31","ids":{"openalex":"https://openalex.org/W2771020579","doi":"https://doi.org/10.1145/3110025.3110033","mag":"2771020579"},"language":"en","primary_location":{"id":"doi:10.1145/3110025.3110033","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3110025.3110033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017","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/A5004571379","display_name":"Arie Wahyu Wijayanto","orcid":"https://orcid.org/0000-0001-5686-7218"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Arie Wahyu Wijayanto","raw_affiliation_strings":["Department of Computer Science, School of Computing, Tokyo Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, School of Computing, Tokyo Institute of Technology","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076510932","display_name":"Tsuyoshi Murata","orcid":"https://orcid.org/0000-0002-3818-7830"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tsuyoshi Murata","raw_affiliation_strings":["Department of Computer Science, School of Computing, Tokyo Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, School of Computing, Tokyo Institute of Technology","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5004571379"],"corresponding_institution_ids":["https://openalex.org/I114531698"],"apc_list":null,"apc_paid":null,"fwci":1.7544,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.87447582,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"58","last_page":"63"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9954000115394592,"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"}},"topics":[{"id":"https://openalex.org/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9954000115394592,"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"}},{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9944999814033508,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.992900013923645,"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":0.5798521041870117},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.5740142464637756},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.4673576354980469},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3433099389076233},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.20918679237365723},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.09553459286689758},{"id":"https://openalex.org/keywords/mechanics","display_name":"Mechanics","score":0.09223687648773193},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08755189180374146}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5798521041870117},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.5740142464637756},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4673576354980469},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3433099389076233},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.20918679237365723},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.09553459286689758},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.09223687648773193},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08755189180374146}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3110025.3110033","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3110025.3110033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017","raw_type":"proceedings-article"},{"id":"pmh:oai:irdb.nii.ac.jp:00897:0004111047","is_oa":false,"landing_page_url":"http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100757382","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W131619556","https://openalex.org/W1501825524","https://openalex.org/W1854214752","https://openalex.org/W1875112053","https://openalex.org/W1972079349","https://openalex.org/W2040956707","https://openalex.org/W2048095866","https://openalex.org/W2061820396","https://openalex.org/W2085419924","https://openalex.org/W2106432414","https://openalex.org/W2112090702","https://openalex.org/W2127387319","https://openalex.org/W2167313676","https://openalex.org/W2185894252","https://openalex.org/W2405801011","https://openalex.org/W2483498405","https://openalex.org/W2962773920","https://openalex.org/W3122885509","https://openalex.org/W3141829038","https://openalex.org/W4238452917"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Given":[0],"a":[1,107],"large":[2],"graph,":[3],"such":[4,21],"as":[5],"social":[6],"network,":[7],"how":[8],"to":[9,92,99],"determine":[10],"set":[11,108],"of":[12,25,33,41,47,109,136],"vertices":[13,26,62],"should":[14],"we":[15,121],"protect":[16],"given":[17],"the":[18,23,31,39,45,49,56,59,86,115,134,153,156],"k":[19],"budget":[20],"that":[22,27,114,152],"percentage":[24],"remain":[28],"uninfected":[29],"at":[30],"end":[32],"infection":[34,101,137],"propagation":[35],"is":[36,118],"maximized?":[37],"Considering":[38],"intricacy":[40],"this":[42],"problem":[43,91,117],"and":[44,82,96,125,141,162],"requirement":[46],"scalability,":[48],"existing":[50],"methods":[51],"are":[52,68],"not":[53,70],"scalable.":[54],"On":[55],"other":[57],"hand,":[58],"connections":[60],"among":[61],"in":[63,103],"many":[64,147],"real":[65,148],"world":[66],"contagions":[67],"usually":[69],"solely":[71],"binary":[72],"entities":[73],"(either":[74],"present":[75],"or":[76],"not)":[77],"but":[78],"have":[79],"associated":[80],"magnitudes":[81],"directions.":[83],"We":[84,111],"formulate":[85],"flow-aware":[87],"vertex":[88],"protection":[89],"(FAVP)":[90],"elaborate":[93],"more":[94],"efficient":[95,124],"realistic":[97],"way":[98],"prevent":[100],"spreading":[102],"graphs":[104],"by":[105,130],"protecting":[106],"vertices.":[110],"also":[112],"demonstrate":[113],"FAVP":[116],"NP-Hard.":[119],"Finally,":[120],"propose":[122],"an":[123],"scalable":[126],"algorithm,":[127],"called":[128],"GraphShield":[129,154],"taking":[131],"into":[132],"account":[133],"role":[135],"flow,":[138],"graph":[139],"connectivity,":[140],"outdegree":[142],"centrality.":[143],"Experimental":[144],"results":[145],"on":[146],"network":[149],"datasets":[150],"show":[151],"outperforms":[155],"state-of-the-art":[157],"algorithms":[158],"regarding":[159],"both":[160],"effectiveness":[161],"efficiency.":[163]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
