LEADER 06418nam 22007575 450 001 996418257103316 005 20200704150640.0 010 $a3-030-35902-6 024 7 $a10.1007/978-3-030-35902-7 035 $a(CKB)4100000011273745 035 $a(MiAaPQ)EBC6212450 035 $a(DE-He213)978-3-030-35902-7 035 $a(PPN)248396056 035 $a(EXLCZ)994100000011273745 100 $a20200527d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProceedings of the 2018 Conference of the Computational Social Science Society of the Americas$b[electronic resource] /$fedited by Ted Carmichael, Zining Yang 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (292 pages) 225 1 $aSpringer Proceedings in Complexity,$x2213-8684 311 $a3-030-35901-8 320 $aIncludes bibliographical references. 327 $aChapter1. Exposing bot activity with PARAFAC tensor decompositions -- Chapter2. To Share or Not to Share: Effect of Peer-to-Peer Mentoring on Dynamics of Graduate Life -- Chapter3. How to code algorithms to favor public goods over private ones -- Chapter4. Institutional Emergence and the Persistence of Inequality in Hamilton, ON 1851-1861 -- Chapter5. Identifying the Risk of Clinical Trial Failures: A Text Mining Approach -- Chapter6. Islamic Extremism and the Crystallization of Norms: An Agent-Based Model of Prison Radicalization -- Chapter7. An Agent-based Modeling for Simulating Land Degradation and Food Shortage in North Korea -- Chapter8. Alleviating Traffic Congestion by the Strategy of Modal Shift from Private Cars to Public Transports: A Case of Dhaka City, Bangladesh -- Chapter9. What Can Honeybees Tell Us about Social Learning? -- Chapter10. Understanding the Impact of Farmer Autonomy on Transportation Collaboration using Agent-based Modeling -- Chapter11. The Transmission of Information in Random Social Networks -- Chapter12. Does Socioeconomic Feedback Matter for Water Demand Models? -- Chapter13. A Popularity-Based Model of the Diffusion of Innovation on GitHub -- Chapter14. Segregation-sensitivity and Threshold-dependency in Residential Segregation -- Chapter15. Revisiting Markov Models of Intragenerational Social Mobility -- Chapter16. NetLogo meets Discrete Event Simulation -- Chapter17. Priming the W-O-M pump: Seeding Information to Increase Solar PV Adoption -- Chapter18. Modeling Schools? Capacity for Lasting Change: A System Dynamics and Simulation-Based Approach -- Chapter19. Model Structure of Agent-Based Artificial System for Reproducing Bullying Phenomenon -- Chapter20. Predictors of Rooftop Solar Adoption in Rural Virginia -- Chapter21. Using Agent-Based Modeling to Analyze Systemic Risk Within the Housing Market -- Chapter22. The Impact of Indirect Minority Influence on Diversity of Opinion and the Magnitude, Speed and Frequency of Social Change -- Chapter23. Understanding Power-Law Behaviors in Surname Distribution: An Agent-Based Analysis -- Chapter24. Evaluation Of Simulated Agent ? Based Computational Models Of Civil Violence With the Boko Haram Conflict -- Chapter25. The Marginal Effects of Immigration Enforcement. 330 $aThis book contains a selection of the latest research in the field of Computational Social Science (CSS) methods, uses, and results, as presented at the 2018 annual conference of the CSSSA. This conference was held in Santa Fe, New Mexico, October 25 ? 28, 2018, at the Drury Plaza Hotel. CSS investigates social and behavioral dynamics in both nature and society, through computer simulation, network analysis, and the science of complex systems. The Computational Social Science Society of the Americas (CSSSA) is a professional society that aims to advance the field of CSS in all its areas, from fundamental principles to real-world applications, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing novel research findings. What follows is a diverse representation of new approaches and research findings, using the tools of CSS and Agent-Based Modeling (ABM) in exploring complex phenomena across many different domains. . 410 0$aSpringer Proceedings in Complexity,$x2213-8684 606 $aSystem theory 606 $aSocial sciences?Data processing 606 $aSocial sciences?Computer programs 606 $aApplication software 606 $aStatistical physics 606 $aDynamical systems 606 $aComputer mathematics 606 $aComplex Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/M13090 606 $aComputational Social Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/X34000 606 $aComplex Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/M13090 606 $aComputer Appl. in Social and Behavioral Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/I23028 606 $aComplex Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/P33000 606 $aComputational Mathematics and Numerical Analysis$3https://scigraph.springernature.com/ontologies/product-market-codes/M1400X 615 0$aSystem theory. 615 0$aSocial sciences?Data processing. 615 0$aSocial sciences?Computer programs. 615 0$aApplication software. 615 0$aStatistical physics. 615 0$aDynamical systems. 615 0$aComputer mathematics. 615 14$aComplex Systems. 615 24$aComputational Social Sciences. 615 24$aComplex Systems. 615 24$aComputer Appl. in Social and Behavioral Sciences. 615 24$aComplex Systems. 615 24$aComputational Mathematics and Numerical Analysis. 676 $a005 702 $aCarmichael$b Ted$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aYang$b Zining$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996418257103316 996 $aProceedings of the 2018 Conference of the Computational Social Science Society of the Americas$92379884 997 $aUNISA