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000898968 020__ $$a9783030217419$$q(electronic book)
000898968 020__ $$a3030217418$$q(electronic book)
000898968 020__ $$z9783030217402
000898968 0247_ $$a10.1007/978-3-030-21741-9$$2doi
000898968 035__ $$aSP(OCoLC)on1109935785
000898968 035__ $$aSP(OCoLC)1109935785
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000898968 1112_ $$aInternational Conference on Social Computing Behavioral-Cultural Modeling, and Prediction and Behavior Representation in Modeling and Simulation$$n(12th :$$d2019 :$$cWashington, D.C.)
000898968 24510 $$aSocial, cultural, and behavioral modeling :$$b12th International Conference, SBP-BRiMS 2019, Washington, DC, USA, July 9-12, 2019, Proceedings /$$cedited by Robert Thomson, Halil Bisgin, Christopher Dancy, Ayaz Hyder.
000898968 2463_ $$aSBP-BRiMS 2019
000898968 264_1 $$aCham, Switzerland :$$bSpringer,$$c2019.
000898968 300__ $$a1 online resource (xv, 290 pages) :$$billustrations.
000898968 336__ $$atext$$btxt$$2rdacontent
000898968 337__ $$acomputer$$bc$$2rdamedia
000898968 338__ $$aonline resource$$bcr$$2rdacarrier
000898968 4901_ $$aLecture notes in computer science ;$$v11549
000898968 4901_ $$aLNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI
000898968 500__ $$aIncludes author index.
000898968 50580 $$tAnalyzing the Dabiq magazine : the language and the propaganda structure of ISIS /$$rHalil Bisgin, Hasan Arslan, and Yusuf Korkmaz --$$tCharacterizing organizational micro-climates in structural groups /$$rGeoffrey P. Morgan and Kathleen M. Carley --$$tPro/con : neural detection of stance in argumentative opinions /$$rMarjan Hosseinia, Eduard Dragut, and Arjun Mukherjee --$$tModeling gender inequity in household decision-making /$$rAllegra A. Beal Cohen, Paul R. Cohen, and Gregory Kiker --$$tBot detection : will focusing on recall cause overall performance deterioration? /$$rTahora H. Nazer, Matthew Davis, Mansooreh Karami, Leman Akoglu, David Koelle, and Huan Liu --$$tA quantitative portrait of legislative change in Ukraine /$$rZachary K. Stine and Nitin Agarwal --$$tSynthesizing machine-learning datasets from parameterizable agents using constrained combinatorial search /$$rVictor Hung, Joshua Haley, Robert Bridgman, Norb Timpko, and Robert Wray --$$tExploiting emojis for sarcasm detection /$$rJayashree Subramanian, Varun Sridharan, Kai Shu, and Huan Liu --$$tCondorcet optimal clustering with Delaunay triangulation : climate zones and world happiness insights /$$rMax Bassett, Blake Newton, Joseph Schlessinger, Jacob Schmidt, Scott Lynch, Patrick Kuiper, Ryan Miller, Steven Morse, James Pleuss, Travis Russell, and William Pulleyblank --$$tUsing common enemy graphs to identify communities of coordinated social media activity /$$rLucas A. Overbey, Bryan Ek, Kevin Pinzhoffer, and Bryan Williams --$$tChronological semantics modeling : a topic evolution approach in online user-generated medical data /$$rCheng-Yu Chung and I-Han Hsiao
000898968 50580 $$tMassive-scale models of urban infrastructure and populations /$$rDaniel Baeder, Eric Christensen, Anhvinh Doanvo, Andrew Han, Ben F. M. Intoy, Steven Hardy, Zachary Humayun, Melissa Kain, Kevin Liberman, Adrian Myers, Meera Patel, William J. Porter III, Lenny Ramos, Michelle Shen, Lance Sparks, Allan Toriel, and Benjamin Wu --$$tDynamic resource allocation during natural disasters using multi-agent environment /$$rAlina Vereshchaka and Wen Dong --$$tParallelizing convergent cross mapping using Apache Spark /$$rBo Pu, Lujie Duan, and Nathaniel D. Osgood --$$tContinuous-time simulation of epidemic processes on dynamic interaction networks /$$rRehan Ahmad and Kevin S. Xu --$$tCharacterizing bot networks on Twitter : an empirical analysis of contentious issues in the Asia-Pacific /$$rJoshua Uyheng and Kathleen M. Carley --$$tA hybrid cellular model for predicting organizational recruitment in a k-dimensional space /$$rNicolas L. Harder and Matthew E. Brashears --$$tA challenging dataset for bias detection : the case of the crisis in the Ukraine /$$rAndres Cremisini, Daniela Aguilar, and Mark A. Finlayson --$$tDoes causal coherence predict online spread of social media? /$$rPedram Hosseini, Mona Diab, and David A. Broniatowski --$$tDetecting disruption : identifying structural changes in the Verkhovna Rada /$$rThomas Magelinski, Jialin Hou, Tymofiy Mylovanov, and Kathleen M. Carley --$$tLost in online stores? Agent-based modeling of cognitive limitations of elderly online consumers /$$rJustyna Pawlowska, Radoslaw Nielek, and Adam Wierzbicki --$$tIdentifying toxicity within YouTube video comment /$$rAdewale Obadimu, Esther Mead, Muhammad Nihal Hussain, and Nitin Agarwal --$$tExamining intensive groups in YouTube commenter networks /$$rMustafa Alassad, Nitin Agarwal, and Muhammad Nihal Hussain
000898968 50580 $$tUser behavior modelling for fake information mitigation on social web /$$rZahra Rajabi, Amarda Shehu, and Hemant Purohit --$$tEffect of e-cigarette use and social network on smoking behavior change : an agent-based model of e-cigarette and cigarette interaction /$$rYang Qin, Rojiemiahd Edjoc, and Nathaniel D. Osgood --$$tMulti-scale simulation modeling for prevention and public health management of diabetes in pregnancy and sequelae /$$rYang Qin, Louise Freebairn, Jo-An Atkinson, Weicheng Qian, Anahita Safarishahrbijari, and Nathaniel D. Osgood --$$tCough detection using hidden Markov models /$$rAydin Teyhouee and Nathaniel D. Osgood --$$tModeling belief divergence and opinion polarization with Bayesian networks and agent-based simulation : a study on traditional healing use in South Africa /$$rKamwoo Lee and Jeanine Braithwaite.
000898968 506__ $$aAccess limited to authorized users.
000898968 520__ $$aThis book constitutes the proceedings of the 12th International Conference on Social, Cultural, and Behavioral Modeling, SBP-BRiMS 2019, held in Washington, DC, USA, in July 2019. The total of 28 papers presented in this volume was carefully reviewed and selected from 72 submissions. The papers in this volume show, people, theories, methods and data from a wide number of disciplines including computer science, psychology, sociology, communication science, public health, bioinformatics, political science, and organizational science. Numerous types of computational methods are used include, but not limited to, machine learning, language technology, social network analysis and visualization, agent-based simulation, and statistics. --$$cProvided by publisher.
000898968 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 23, 2019).
000898968 650_0 $$aOnline social networks$$xPsychological aspects$$vCongresses.
000898968 650_0 $$aInterpersonal relations$$vCongresses.
000898968 650_0 $$aInteractive computer systems$$vCongresses.
000898968 7001_ $$aThomson, Robert,$$eeditor.
000898968 7001_ $$aBisgin, Halil,$$eeditor.
000898968 7001_ $$aDancy, Christopher L.,$$eeditor.
000898968 7001_ $$aHyder, Ayaz,$$eeditor.
000898968 830_0 $$aLecture notes in computer science ;$$v11549.
000898968 830_0 $$aLNCS sublibrary.$$nSL 3,$$pInformation systems and applications, incl. Internet/Web, and HCI.
000898968 852__ $$bebk
000898968 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-21741-9$$zOnline Access$$91397441.1
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