Social Computing, Behavioral-Cultural Modeling and Prediction
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Sun-Ki Chai | Dana S. Nau | John J. Salerno | Shanchieh Jay Yang | Dana Nau | J. Salerno | Sun-Ki Chai | S. Yang | John J. Salerno
[1] M. F. Luce,et al. Separate Neural Mechanisms Underlie Choices and Strategic Preferences in Risky Decision Making , 2009, Neuron.
[2] A. Tversky,et al. Advances in prospect theory: Cumulative representation of uncertainty , 1992 .
[3] John Conlisk,et al. Three Variants on the Allais Example , 1989 .
[4] K. Stanovich,et al. On the relative independence of thinking biases and cognitive ability. , 2008, Journal of personality and social psychology.
[5] B Cazelles,et al. Using the Kalman filter and dynamic models to assess the changing HIV/AIDS epidemic. , 1997, Mathematical biosciences.
[6] Deltcho Valtchanov,et al. Restorative Effects of Virtual Nature Settings , 2010, Cyberpsychology Behav. Soc. Netw..
[7] Alex Pentland,et al. Stealing Reality: When Criminals Become Data Scientists (or Vice Versa) , 2011, IEEE Intelligent Systems.
[8] Clayton Fink,et al. From push brooms to prayer books: Social media and social networks during the London riots , 2013 .
[9] Kevin G. Stanley,et al. Leveraging H1N1 infection transmission modeling with proximity sensor microdata , 2012, BMC Medical Informatics and Decision Making.
[10] James N. Druckman,et al. The Implications of Framing Effects for Citizen Competence , 2001 .
[11] Simo Särkkä,et al. Parameter estimation in stochastic differential equations with Markov chain Monte Carlo and non-linear Kalman filtering , 2012, Computational Statistics.
[12] A. Vespignani,et al. Competition among memes in a world with limited attention , 2012, Scientific Reports.
[13] Paul S. Carlin,et al. Is the Allais paradox robust to a seemingly trivial change of frame , 1990 .
[14] Eric Gilbert,et al. Predicting tie strength with social media , 2009, CHI.
[15] M. Kalmijn,et al. Intermarriage and homogamy: causes, patterns, trends. , 1998, Annual review of sociology.
[16] Peggy Wu,et al. Can polite computers produce better human performance , 2010, AFFINE '10.
[17] Wang. Framing Effects: Dynamics and Task Domains , 1996, Organizational behavior and human decision processes.
[18] Fei-Yue Wang,et al. Toward a Revolution in Transportation Operations: AI for Complex Systems , 2008, IEEE Intelligent Systems.
[19] Valerie F Reyna,et al. Fuzzy‐Trace Theory, Risk Communication, and Product Labeling in Sexually Transmitted Diseases , 2003, Risk analysis : an official publication of the Society for Risk Analysis.
[20] Jonathan P. West,et al. Workplace Relations: Friendship Patterns and Consequences (According to Managers) , 2002 .
[21] Victor S. Johnston,et al. Perceived social context and risk preference: A re‐examination of framing effects in a life‐death decision problem , 1995 .
[22] A. Barrat,et al. An infectious disease model on empirical networks of human contact: bridging the gap between dynamic network data and contact matrices , 2013, BMC Infectious Diseases.
[23] Alex Pentland,et al. Incremental Learning with Accuracy Prediction of Social and Individual Properties from Mobile-Phone Data , 2011, 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing.
[24] Ramesh Nallapati,et al. Link-PLSA-LDA: A New Unsupervised Model for Topics and Influence of Blogs , 2021, ICWSM.
[25] Deborah E. Gibbons,et al. Friendship and Advice Networks in the Context of Changing Professional Values , 2004 .
[26] M. Gabriela M. Gomes,et al. A Bayesian Framework for Parameter Estimation in Dynamical Models , 2011, PloS one.
[27] A. Tversky,et al. The framing of decisions and the psychology of choice. , 1981, Science.
[28] David Buckeridge,et al. Estimated epidemiologic parameters and morbidity associated with pandemic H1N1 influenza , 2010, Canadian Medical Association Journal.
[29] Scott Counts,et al. Taking It All In? Visual Attention in Microblog Consumption , 2021, ICWSM.
[30] Thomas L. Griffiths,et al. The Author-Topic Model for Authors and Documents , 2004, UAI.
[31] Maria A. Kazandjieva,et al. A high-resolution human contact network for infectious disease transmission , 2010, Proceedings of the National Academy of Sciences.
[32] Katarzyna Wac,et al. Getting closer: an empirical investigation of the proximity of user to their smart phones , 2011, UbiComp '11.
[33] Hans Lind,et al. A note on the robustness of a classical framing result , 1992 .
[34] Chong Wang,et al. Collaborative topic modeling for recommending scientific articles , 2011, KDD.
[35] John Riedl,et al. Item-based collaborative filtering recommendation algorithms , 2001, WWW '01.
[36] Peter Wallensteen,et al. Armed Conflicts, 1946–2012 , 2013 .
[37] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[38] Yuan Tian,et al. Comparison between Individual-based and Aggregate Models in the context of Tuberculosis Transmission , 2011 .
[39] Irwin P. Levin,et al. Risk taking, frame of reference, and characterization of victim groups in AIDS treatment decisions , 1990 .
[40] V. Jansen,et al. Modelling the influence of human behaviour on the spread of infectious diseases: a review , 2010, Journal of The Royal Society Interface.
[41] David Lazer,et al. Inferring friendship network structure by using mobile phone data , 2009, Proceedings of the National Academy of Sciences.
[42] Scott Highhouse,et al. Perspectives, Perceptions, and Risk-Taking Behavior , 1996 .
[43] Anton Kühberger,et al. Risky Choice Framing: Task Versions and a Comparison of Prospect Theory and Fuzzy- Trace Theory , 2009 .
[44] M. McPherson,et al. Birds of a Feather: Homophily in Social Networks , 2001 .
[45] Kristina Lerman,et al. Modeling Social Annotation: A Bayesian Approach , 2008, TKDD.
[46] V. Reyna. A new intuitionism: Meaning, memory, and development in Fuzzy-Trace Theory. , 2012, Judgment and decision making.
[47] Daniel J. Brass,et al. Network Analysis in the Social Sciences , 2009, Science.
[48] Monica Chiogna,et al. Hierarchical space-time modelling of epidemic dynamics: an application to measles outbreaks , 2004 .
[49] V. Reyna,et al. Risk Taking Under the Influence: A Fuzzy-Trace Theory of Emotion in Adolescence. , 2008, Developmental review : DR.
[50] Yan Zhang,et al. Exaggerated, mispredicted, and misplaced: when "it's the thought that counts" in gift exchanges. , 2012, Journal of experimental psychology. General.
[51] Michael C. Frank,et al. Verbal interference suppresses exact numerical representation , 2011, Cognitive Psychology.
[52] James E. Rauch,et al. Bandwidth and Echo: Trust, Information, and Gossip in Social Networks , 2001 .
[53] Peter Schoo,et al. Infiltrating Critical Infrastructures with Next-Generation Attacks W32.Stuxnet as a Showcase Threat , 2010 .
[54] Steven B. Andrews,et al. Power, Social Influence, and Sense Making: Effects of Network Centrality and Proximity on Employee Perceptions. , 1993 .
[55] Hazhir Rahmandad,et al. Heterogeneity and Network Structure in the Dynamics of Diffusion: Comparing Agent-Based and Differential Equation Models , 2004, Manag. Sci..
[56] Kevin G. Stanley,et al. Temporal aggregation impacts on epidemiological simulations employing microcontact data , 2012, BMC Medical Informatics and Decision Making.
[57] Bayesian Parameter Estimation of System Dynamics Models Using Markov Chain Monte Carlo Methods: An Informal Introduction , 2013 .
[58] Keith E. Stanovich,et al. Individual differences in framing and conjunction effects , 1998 .
[59] Alex Pentland,et al. How Many Makes a Crowd? On the Evolution of Learning as a Factor of Community Coverage , 2012, SBP.
[60] Vinod Venkatraman,et al. Strategic control in decision‐making under uncertainty , 2012, The European journal of neuroscience.
[61] Monica Chiogna,et al. Dynamic generalized linear models with application to environmental epidemiology , 2002 .
[62] Mark S. Granovetter. The Strength of Weak Ties , 1973, American Journal of Sociology.
[63] Arthur Gelb,et al. Applied Optimal Estimation , 1974 .
[64] James N. Druckman,et al. Evaluating framing effects , 2001 .
[65] Kazuhisa Takemura,et al. Influence of Elaboration on the Framing of Decision , 1994 .
[66] Ronald A. Rensink,et al. TO SEE OR NOT TO SEE: The Need for Attention to Perceive Changes in Scenes , 1997 .
[67] Balachander Krishnamurthy,et al. On the leakage of personally identifiable information via online social networks , 2009, CCRV.
[68] A. Tversky,et al. Prospect theory: an analysis of decision under risk — Source link , 2007 .
[69] Alex Pentland,et al. Composite Social Network for Predicting Mobile Apps Installation , 2011, AAAI.
[70] Eric R. Stone,et al. Risk communication: absolute versus relative expressions of low-probability risks , 1994 .
[71] M. Keeling. The implications of network structure for epidemic dynamics. , 2005, Theoretical population biology.
[72] Ee-Peng Lim,et al. Generative Models for Item Adoptions Using Social Correlation , 2013, IEEE Transactions on Knowledge and Data Engineering.
[73] D. Kahneman,et al. Attention and Effort , 1973 .
[74] Kristina Lerman,et al. Information Contagion: An Empirical Study of the Spread of News on Digg and Twitter Social Networks , 2010, ICWSM.
[75] William Rand,et al. Differential Adaptive Diffusion: Understanding Diversity and Learning Whom to Trust in Viral Marketing , 2011, ICWSM.
[76] 鈴木 聡. Media Equation 研究の背景と動向 , 2011 .
[77] Simon Cauchemez,et al. new approach to characterising infectious disease transmission dynamics from entinel surveillance : Application to the Italian 2009 – 2010 A / H 1 N 1 influenza andemic , 2012 .