{"id":"https://openalex.org/W3012742206","doi":"https://doi.org/10.1145/3366423.3380028","title":"On the Robustness of Cascade Diffusion under Node Attacks","display_name":"On the Robustness of Cascade Diffusion under Node Attacks","publication_year":2020,"publication_date":"2020-04-20","ids":{"openalex":"https://openalex.org/W3012742206","doi":"https://doi.org/10.1145/3366423.3380028","mag":"3012742206"},"language":"en","primary_location":{"id":"doi:10.1145/3366423.3380028","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380028","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The Web Conference 2020","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3366423.3380028","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027686238","display_name":"Alvis Logins","orcid":"https://orcid.org/0000-0003-1152-1955"},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Alvis Logins","raw_affiliation_strings":["Aarhus University"],"affiliations":[{"raw_affiliation_string":"Aarhus University","institution_ids":["https://openalex.org/I204337017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348344","display_name":"Yuchen Li","orcid":"https://orcid.org/0000-0001-9646-291X"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yuchen Li","raw_affiliation_strings":["Singapore Management University"],"affiliations":[{"raw_affiliation_string":"Singapore Management University","institution_ids":["https://openalex.org/I79891267"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103092057","display_name":"Panagiotis Karras","orcid":"https://orcid.org/0000-0003-0509-9129"},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Panagiotis Karras","raw_affiliation_strings":["Aarhus University"],"affiliations":[{"raw_affiliation_string":"Aarhus University","institution_ids":["https://openalex.org/I204337017"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027686238"],"corresponding_institution_ids":["https://openalex.org/I204337017"],"apc_list":null,"apc_paid":null,"fwci":1.3314,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.7948275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2711","last_page":"2717"},"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9994000196456909,"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/T13283","display_name":"Mental Health Research Topics","score":0.9649999737739563,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8322173357009888},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6862651109695435},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5530892610549927},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.5502526760101318},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3571332097053528},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3532649874687195},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24766814708709717},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14112389087677002}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8322173357009888},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6862651109695435},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5530892610549927},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.5502526760101318},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3571332097053528},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3532649874687195},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24766814708709717},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14112389087677002},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3366423.3380028","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380028","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The Web Conference 2020","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire/5a9427c3-004b-4db7-a4b9-4e8e42a6a29c","is_oa":true,"landing_page_url":"https://pure.au.dk/portal/en/publications/5a9427c3-004b-4db7-a4b9-4e8e42a6a29c","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Logins, A, Li, Y & Karras, P 2020, On the Robustness of Cascade Diffusion under Node Attacks. in The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020 : Proceedings of the Web Conference 2020. Association for Computing Machinery, pp. 2711\u20132717, WWW '20, Taipei , Taiwan, 20/04/2020. https://doi.org/10.1145/3366423.3380028","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:ink.library.smu.edu.sg:sis_research-6975","is_oa":false,"landing_page_url":"https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=6975&context=sis_research","pdf_url":null,"source":{"id":"https://openalex.org/S4377196871","display_name":"Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79891267","host_organization_name":"Singapore Management University","host_organization_lineage":["https://openalex.org/I79891267"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1145/3366423.3380028","raw_type":"Conference Proceeding Article"}],"best_oa_location":{"id":"doi:10.1145/3366423.3380028","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380028","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The Web Conference 2020","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W131619556","https://openalex.org/W650496038","https://openalex.org/W1503428008","https://openalex.org/W1717141654","https://openalex.org/W1825558944","https://openalex.org/W1854214752","https://openalex.org/W1898824936","https://openalex.org/W1945798178","https://openalex.org/W1983275606","https://openalex.org/W1989400610","https://openalex.org/W2010478496","https://openalex.org/W2021126002","https://openalex.org/W2026313208","https://openalex.org/W2026417691","https://openalex.org/W2034413844","https://openalex.org/W2035165116","https://openalex.org/W2041472519","https://openalex.org/W2061820396","https://openalex.org/W2071747085","https://openalex.org/W2085419924","https://openalex.org/W2092298635","https://openalex.org/W2108614537","https://openalex.org/W2109682749","https://openalex.org/W2109949737","https://openalex.org/W2110953678","https://openalex.org/W2116759966","https://openalex.org/W2125910575","https://openalex.org/W2152284345","https://openalex.org/W2185894252","https://openalex.org/W2272986348","https://openalex.org/W2277342451","https://openalex.org/W2294347342","https://openalex.org/W2395439732","https://openalex.org/W2515427425","https://openalex.org/W2548135047","https://openalex.org/W2555330152","https://openalex.org/W2560959195","https://openalex.org/W2581389314","https://openalex.org/W2617669005","https://openalex.org/W2730046318","https://openalex.org/W2755138616","https://openalex.org/W2768898313","https://openalex.org/W2792990871","https://openalex.org/W2800106116","https://openalex.org/W2883631763","https://openalex.org/W2902868039","https://openalex.org/W2925661570","https://openalex.org/W2949629279","https://openalex.org/W2951796551","https://openalex.org/W2953447185","https://openalex.org/W2963397440","https://openalex.org/W2999673347","https://openalex.org/W3103071483","https://openalex.org/W3104471750","https://openalex.org/W4233354719","https://openalex.org/W4235262598","https://openalex.org/W4388315794","https://openalex.org/W4409904259","https://openalex.org/W6749925696"],"related_works":["https://openalex.org/W2153719181","https://openalex.org/W1971748923","https://openalex.org/W1566155057","https://openalex.org/W2060986072","https://openalex.org/W2052574922","https://openalex.org/W64588465","https://openalex.org/W3120641340","https://openalex.org/W2117825986","https://openalex.org/W3134067061","https://openalex.org/W2079855347"],"abstract_inverted_index":{"How":[0],"can":[1,193],"we":[2,184],"assess":[3],"a":[4,39,55,71,186],"network\u2019s":[5,118],"ability":[6],"to":[7,64,139],"maintain":[8],"its":[9,78],"functionality":[10],"under":[11,57],"attacks?":[12],"Network":[13],"robustness":[14,42,50,175],"has":[15],"been":[16],"studied":[17],"extensively":[18],"in":[19,43,136,172],"the":[20,33,58,75,83,92,95,99,117,141,165,177,195],"case":[21],"of":[22,35,41,69,77,107,125,174,189,197],"deterministic":[23],"networks.":[24,45,200],"However,":[25],"applications":[26],"such":[27,70],"as":[28,85,87],"online":[29],"information":[30],"diffusion":[31,56,101,190],"and":[32,98,115,150,153,162,176],"behavior":[34],"networked":[36],"public":[37],"raise":[38],"question":[40],"probabilistic":[44,100],"We":[46,103,128],"propose":[47],"three":[48,105],"novel":[49,130],"measures":[51,167],"for":[52],"networks":[53,155,171],"hosting":[54],"Independent":[59],"Cascade":[60],"(IC)":[61],"model,":[62],"susceptible":[63],"node":[65,126],"attacks.":[66,127],"The":[67],"outcome":[68],"process":[72],"depends":[73],"on":[74,88],"selection":[76],"initiators,":[79],"or":[80],"seeds,":[81],"by":[82],"seeder,":[84],"well":[86],"two":[89,112],"factors":[90],"outside":[91],"seeder\u2019s":[93],"discretion:":[94],"attack":[96],"strategy":[97],"outcome.":[102],"consider":[104],"levels":[106],"seeder":[108],"awareness":[109],"regarding":[110],"these":[111,158],"uncontrolled":[113],"factors,":[114],"evaluate":[116,140],"viability":[119],"aggregated":[120],"over":[121],"all":[122],"possible":[123],"extents":[124],"introduce":[129],"algorithms":[131,159],"from":[132],"building":[133],"blocks":[134],"found":[135],"previous":[137],"works":[138],"proposed":[142,166],"measures.":[143],"A":[144],"thorough":[145],"experimental":[146],"study":[147],"with":[148],"synthetic":[149],"real,":[151],"scale-free":[152],"homogeneous":[154],"establishes":[156],"that":[157,192],"are":[160],"effective":[161],"efficient,":[163],"while":[164],"highlight":[168],"differences":[169],"among":[170],"terms":[173],"surprise":[178],"they":[179],"furnish":[180],"when":[181],"attacked.":[182],"Last,":[183],"devise":[185],"new":[187],"measure":[188],"entropy":[191],"inform":[194],"design":[196],"probabilistically":[198],"robust":[199]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
