001453728 000__ 06377cam\a2200697\i\4500
001453728 001__ 1453728
001453728 003__ OCoLC
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001453728 019__ $$a1357017647
001453728 020__ $$a9783031211270$$q(electronic bk.)
001453728 020__ $$a3031211278$$q(electronic bk.)
001453728 020__ $$z9783031211263
001453728 020__ $$z303121126X
001453728 0247_ $$a10.1007/978-3-031-21127-0$$2doi
001453728 035__ $$aSP(OCoLC)1356890787
001453728 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCQ
001453728 049__ $$aISEA
001453728 050_4 $$aTK5105.5
001453728 08204 $$a004.6$$223/eng/20230112
001453728 1112_ $$aInternational Conference on Complex Networks and Their Applications$$n(11th :$$d2022 :$$cPalermo, Italy).
001453728 24510 $$aComplex networks and their applications XI :$$bproceedings of the Eleventh International Conference on Complex Networks and Their Applications : COMPLEX NETWORKS 2022.$$nVolume 1 /$$cHocine Cherifi, Rosario Nunzio Mantegna, Luis M. Rocha, Chantal Cherifi, Salvatore Miccichè, editors.
001453728 24630 $$aCOMPLEX NETWORKS 2022
001453728 264_1 $$aCham :$$bSpringer,$$c[2023]
001453728 264_4 $$c©2023
001453728 300__ $$a1 online resource (xxv, 653 pages) :$$billustrations (chiefly color).
001453728 336__ $$atext$$btxt$$2rdacontent
001453728 337__ $$acomputer$$bc$$2rdamedia
001453728 338__ $$aonline resource$$bcr$$2rdacarrier
001453728 4901_ $$aStudies in computational intelligence ;$$vvolume 1077
001453728 500__ $$aInternational conference proceedings.
001453728 500__ $$aIncludes author index.
001453728 504__ $$aReferences
001453728 5050_ $$aIntro -- Organization and Committees -- Preface -- Contents -- Information Spreading in Social Media -- Cognitive Cascades within Media Ecosystems: Simulating Fragmentation, Selective Exposure and Media Tactics to Investigate Polarization -- 1 Introduction -- 2 Background -- 2.1 Media Ecosystem -- 2.2 Opinion Diffusion Models -- 3 Static Media Ecosystem Model -- 3.1 Review of Cognitive Cascade Model -- 3.2 Extension to Model the Media Ecosystem -- 4 Experiments -- 4.1 Institutional Belief Distributions -- 4.2 Media Messaging Patterns -- 4.3 Graph topologies and homophily
001453728 5058_ $$a4.4 Parameters of Fragmentation and Selective Exposure -- 4.5 Measures of Polarization -- 5 Results -- 5.1 Fragmentation and Exposure do not Cause Polarization -- 5.2 Most Appeals that Adjust to Subscriber Beliefs Fail to Polarize -- 6 Discussion -- References -- Properties of Reddit News Topical Interactions -- 1 Introduction -- 2 Background -- 3 Experimental Setup -- 4 Results -- 4.1 Overview of the Experiments -- 4.2 Quantifying Interactions -- 5 Conclusion -- References -- Will You Take the Knee? Italian Twitter Echo Chambers' Genesis During EURO 2020 -- 1 Introduction
001453728 5058_ $$a2 EURO 2020: Beyond the Sportive Event -- 3 The Online Debate: Will You Take the Knee? -- 4 Echo Chambers: From Global to Local -- 5 Conclusions -- References -- A Simple Model of Knowledge Scaffolding -- 1 Introduction -- 2 The Model -- 3 Numerical Results -- 4 Markov Birth-Death Approach -- 5 Conclusions -- References -- Using Knowledge Graphs to Detect Partisanship in Online Political Discourse -- 1 Introduction -- 2 Related Work -- 2.1 Data -- 3 Methods -- 3.1 Knowledge Graph Generation -- 3.2 Training Embeddings -- 3.3 Detecting Partisanship -- 3.4 Evaluation -- 4 Results -- 5 Discussion
001453728 5058_ $$a6 Appendix -- 6.1 Key Terms -- 6.2 Relation Types -- References -- The wisdom_of_crowds: An Efficient, Philosophically-Validated, Social Epistemological Network Profiling Toolkit -- 1 Introduction -- 2 Background and Methods -- 2.1 Core Concepts -- 2.2 Sullivan et al. (2020)'s Operationalizations -- 2.3 Caveats and Considerations -- 2.4 Our Re-implementation -- 3 Experimental Results -- 3.1 Efficiency Tests -- 3.2 Application on Social Network Data: BLM on Twitter -- 3.3 Application on Communication Network Data: email-Eu-core -- 4 Discussion and Conclusion -- References
001453728 5058_ $$aOpening up Echo Chambers via Optimal Content Recommendation -- 1 Introduction -- 2 Related Literature -- 3 Problem Statement -- 3.1 Dataset -- 3.2 Echo Chambers -- 3.3 Promoting Content Diversity -- 4 Theoretical Model -- 4.1 Introducing Opinions -- 4.2 Comparison with Empirical Results -- 5 Maximising Content Diversity -- 6 Results -- 7 Conclusion -- References -- Change My Mind: Data Driven Estimate of Open-Mindedness from Political Discussions -- 1 Introduction -- 2 Related Work -- 3 Analyzing the Political Debate Online -- 4 Political Leaning: Stability and Open-Mindedness -- 5 Conclusions
001453728 506__ $$aAccess limited to authorized users.
001453728 520__ $$aThis book highlights cutting-edge research in the field of network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the XI International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2022). The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics, and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks and technological networks.
001453728 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed January 12, 2023).
001453728 650_0 $$aComputer networks$$vCongresses.
001453728 650_0 $$aSystem analysis$$vCongresses.
001453728 650_0 $$aSystems engineering$$vCongresses.
001453728 655_7 $$aConference papers and proceedings.$$2lcgft
001453728 655_0 $$aElectronic books.
001453728 7001_ $$aCherifi, Hocine,$$eeditor.
001453728 7001_ $$aMantegna, Rosario N.$$q(Rosario Nunzio),$$d1960-$$eeditor.
001453728 7001_ $$aRocha, Luis M.,$$eeditor.
001453728 7001_ $$aCherifi, Chantal,$$eeditor.
001453728 7001_ $$aMiccichè, S.$$q(Salvatore),$$eeditor.
001453728 77608 $$iPrint version: $$z303121126X$$z9783031211263$$w(OCoLC)1347430280
001453728 830_0 $$aStudies in computational intelligence ;$$vv. 1077.
001453728 852__ $$bebk
001453728 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-21127-0$$zOnline Access$$91397441.1
001453728 909CO $$ooai:library.usi.edu:1453728$$pGLOBAL_SET
001453728 980__ $$aBIB
001453728 980__ $$aEBOOK
001453728 982__ $$aEbook
001453728 983__ $$aOnline
001453728 994__ $$a92$$bISE