{"id":"https://openalex.org/W2524182153","doi":"https://doi.org/10.1109/cdc.2016.7798395","title":"Ignoring extreme opinions in complex networks: The impact of heterogeneous thresholds","display_name":"Ignoring extreme opinions in complex networks: The impact of heterogeneous thresholds","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2524182153","doi":"https://doi.org/10.1109/cdc.2016.7798395","mag":"2524182153"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2016.7798395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2016.7798395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 55th Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1609.08768","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076731201","display_name":"Shreyas Sundaram","orcid":"https://orcid.org/0000-0002-5390-2505"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shreyas Sundaram","raw_affiliation_strings":["School of Electrical and Computer Engineering at Purdue University","School of Electrical and Computer Engineering at Purdue University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering at Purdue University","institution_ids":[]},{"raw_affiliation_string":"School of Electrical and Computer Engineering at Purdue University, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5076731201"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.132,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"979","last_page":"984"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","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/T12592","display_name":"Opinion Dynamics and Social Influence","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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9995999932289124,"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9923999905586243,"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/node","display_name":"Node (physics)","score":0.6832376718521118},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5417024493217468},{"id":"https://openalex.org/keywords/random-graph","display_name":"Random graph","score":0.5206129550933838},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5182321071624756},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5138145089149475},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4826110303401947},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.4723159968852997},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3714866042137146},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3526275157928467},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.29325127601623535},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.15221735835075378},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1078488826751709},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08259657025337219}],"concepts":[{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6832376718521118},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5417024493217468},{"id":"https://openalex.org/C47458327","wikidata":"https://www.wikidata.org/wiki/Q910404","display_name":"Random graph","level":3,"score":0.5206129550933838},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5182321071624756},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5138145089149475},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4826110303401947},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.4723159968852997},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3714866042137146},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3526275157928467},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29325127601623535},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.15221735835075378},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1078488826751709},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08259657025337219},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/cdc.2016.7798395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2016.7798395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 55th Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1609.08768","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1609.08768","pdf_url":"https://arxiv.org/pdf/1609.08768","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"mag:2524182153","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1609.08768","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1609.08768","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1609.08768","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1609.08768","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1609.08768","pdf_url":"https://arxiv.org/pdf/1609.08768","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W638149299","https://openalex.org/W1495750374","https://openalex.org/W1972178529","https://openalex.org/W1973184571","https://openalex.org/W1998692453","https://openalex.org/W2000219814","https://openalex.org/W2004531067","https://openalex.org/W2024433234","https://openalex.org/W2025375132","https://openalex.org/W2034235887","https://openalex.org/W2039473144","https://openalex.org/W2041157860","https://openalex.org/W2081632029","https://openalex.org/W2089765814","https://openalex.org/W2099071366","https://openalex.org/W2099175737","https://openalex.org/W2099589402","https://openalex.org/W2110567442","https://openalex.org/W2114696370","https://openalex.org/W2125668987","https://openalex.org/W2146162554","https://openalex.org/W2150041461","https://openalex.org/W2153775930","https://openalex.org/W2165744313","https://openalex.org/W2278351347","https://openalex.org/W2568238137","https://openalex.org/W2964278029","https://openalex.org/W4238955406","https://openalex.org/W4250134109","https://openalex.org/W6676950571","https://openalex.org/W6678479965"],"related_works":["https://openalex.org/W2963164347","https://openalex.org/W1986586798","https://openalex.org/W2080670585","https://openalex.org/W2902881994","https://openalex.org/W1965611357","https://openalex.org/W3180832696","https://openalex.org/W1813761616","https://openalex.org/W2793256232","https://openalex.org/W3134673755","https://openalex.org/W2784005616","https://openalex.org/W2068844922","https://openalex.org/W2025887605","https://openalex.org/W2017807702","https://openalex.org/W1998300354","https://openalex.org/W2593590204","https://openalex.org/W2077976487","https://openalex.org/W2959322849","https://openalex.org/W1625603363","https://openalex.org/W167284119","https://openalex.org/W1647875177"],"abstract_inverted_index":{"We":[0,96,108],"consider":[1,76],"a":[2,22,36,85,120],"class":[3],"of":[4,21,25,39,50,79,91],"opinion":[5,34],"dynamics":[6],"on":[7,126,132],"networks":[8,112],"where":[9,113],"at":[10],"each":[11,13,81,114],"time-step,":[12],"node":[14,82],"in":[15],"the":[16,19,40,47,66,77,89,133],"network":[17,67],"disregards":[18],"opinions":[20],"certain":[23,69,121],"number":[24,49,90],"its":[26,32],"most":[27],"extreme":[28,51,92],"neighbors":[29,93],"and":[30,63,123],"updates":[31],"own":[33],"as":[35],"weighted":[37],"average":[38],"remaining":[41],"opinions.":[42],"When":[43],"all":[44],"nodes":[45],"disregard":[46],"same":[48],"neighbors,":[52],"previous":[53],"work":[54],"has":[55],"shown":[56],"that":[57,127,137,139],"consensus":[58,102,140],"will":[59,141],"be":[60,142],"reached":[61,143],"if":[62,65],"only":[64],"satisfies":[68],"topological":[70],"properties.":[71],"In":[72],"this":[73],"paper,":[74],"we":[75],"implications":[78],"allowing":[80],"to":[83,94],"have":[84],"personal":[86],"threshold":[87,116],"for":[88,105],"ignore.":[95],"provide":[97,124],"graph":[98],"conditions":[99,125,131],"under":[100],"which":[101],"is":[103,117],"guaranteed":[104],"such":[106],"dynamics.":[107],"then":[109],"study":[110],"random":[111],"node's":[115],"drawn":[118],"from":[119],"distribution,":[122,128],"together":[129],"with":[130],"edge":[134],"formation":[135],"probability,":[136],"guarantee":[138],"asymptotically":[144],"almost":[145],"surely.":[146]},"counts_by_year":[],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}
