Computational Social Science

The social sciences investigate human and social dynamics and organization at all levels of analysis (consilience), including cognition, decision making, behavior, groups, organizations, societies, and the world system. Computational social science is the integrated, interdisciplinary pursuit of social inquiry with emphasis on information processing and through the medium of advanced computation. Themain computational social science areas are automated information extraction systems, social network analysis, social geographic information systems (GIS), complexity modeling, and social simulation models. Just like Galileo exploited the telescope as the key instrument for observing and gaining a deeper and empirically truthful understanding of the physical universe, computational social scientists are learning to exploit the advanced and increasingly powerful instruments of computation to see beyond the visible spectrum of more traditional disciplinary analyses.

[1]  Claudio Cioffi-Revilla,et al.  Modeling Uncertainty in Adversary Behavior: Attacks in Diyala Province, Iraq, 2002–2006 , 2009 .

[2]  Nicolas de Condorcet.  Essai Sur L'Application de L'Analyse a la Probabilite Des Decisions Rendues a la Pluralite Des Voix , 2009 .

[3]  D. Sornette.  Critical Phenomena in Natural Sciences: Chaos, Fractals, Selforganization and Disorder: Concepts and Tools , 2000 .

[4]  John D. Sterman,et al.  System Dynamics: Systems Thinking and Modeling for a Complex World , 2002 .

[5]  Melanie Mitchell,et al.  Complexity - A Guided Tour , 2009 .

[6]  Jørgen Randers,et al.  Elements of the System Dynamics Method , 1997 .

[7]  H. A. Simon,et al.  Skew Distributions and the Size of Business Firms , 1977 .

[8]  Elliott W. Montroll,et al.  Introduction to Quantitative Aspects of Social Phenomena , 1975 .

[9]  Brian J. L. Berry,et al.  Geography of Market Centers and Retail Distribution , 1967 .

[10]  Nozer D. Singpurwalla,et al.  Reliability and risk , 2006 .

[11]  Robert L. Sedlmeyer,et al.  COLLECTIVE VIOLENCE IN DARFUR: AN AGENT-BASED MODEL OF PASTORAL NOMAD/SEDENTARY PEASANT INTERACTION , 2005 .

[12]  N. Harrison.  Complexity in World Politics: Concepts and Methods of a New Paradigm , 2006 .

[13]  Philippa Pattison,et al.  Dynamic Social Network Modelling and Analysis , 2003 .

[14]  Steven C Bankes,et al.  Tools and techniques for developing policies for complex and uncertain systems , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[15]  Edward R. Tufte,et al.  The Visual Display of Quantitative Information , 1986 .

[16]  Ian Hodder,et al.  Simulation studies in archaeology , 1980 .

[17]  William M. Bulleit,et al.  An Agent-Based Model of Terrorist Activity , 2005 .

[18]  Urs Luterbacher.  Dimensions historiques de modèles dynamiques de conflit : application aux processus de course aux armements, 1900-1965 , 1974 .

[19]  C. McClelland.  The Acute International Crisis , 1961 .

[20]  R. Axelrod,et al.  A Landscape Theory of Aggregation , 1993, British Journal of Political Science.

[21]  Gregory Kramer,et al.  Auditory Display: Sonification, Audification, And Auditory Interfaces , 1994 .

[22]  S. Koschade.  A Social Network Analysis of Jemaah Islamiyah: The Applications to Counterterrorism and Intelligence , 2006 .

[23]  W. W. Rostow,et al.  Organized complexity : empirical theories of political development , 1972 .

[24]  Paul Meakin,et al.  Fractals, scaling, and growth far from equilibrium , 1998 .

[25]  Claudius Gros,et al.  Complex and Adaptive Dynamical Systems: A Primer , 2008 .

[26]  Philip A. Schrodt.  Pattern Recognition of International Crises using Hidden Markov Models , 2007 .

[27]  J Swanson,et al.  Business Dynamics—Systems Thinking and Modeling for a Complex World , 2002, J. Oper. Res. Soc..

[28]  M. E. J. Newman,et al.  Power laws, Pareto distributions and Zipf's law , 2005 .

[29]  William A. Lucas,et al.  Simulation and National Development , 1966 .

[30]  Anastasios Xepapadeas,et al.  Modeling Complex Systems , 2010 .

[31]  B. Berry,et al.  From Spatial Analysis to Geospatial Science , 2008 .

[32]  Sharon L. Milgram,et al.  The Small World Problem , 1967 .

[33]  Dieter Ruloff,et al.  Konfliktlösung durch Vermittlung : Computersimulation zwischenstaatlicher Krisen , 1975 .

[34]  D. R. Heise.  Understanding Events: Affect and the Construction of Social Action , 1981 .

[35]  Graham K. Rand,et al.  Quantitative Applications in the Social Sciences , 1983 .

[36]  Suzana Dragicevic,et al.  Geographic Information Systems and Science , 2002 .

[37]  Kathleen M. Carley,et al.  Structural Knowledge and Success of Anti-Terrorist Activity: The Downside of Structural Equivalence , 2005, J. Soc. Struct..

[38]  Sean Boyle,et al.  An Application of Multi-Agent Simulation to Policy Appraisal in the Criminal Justice System , 2006 .

[39]  Brian Hayes.  Fat Tails , 2007 .

[40]  Herbert Hamers,et al.  The influence of secrecy on the communication structure of covert networks , 2009, Soc. Networks.

[41]  Scott E. Page,et al.  Agent-Based Models , 2014, Encyclopedia of GIS.

[42]  Samuel Bowles,et al.  The Evolution of Inequality , 2001 .

[43]  Claudio Cioffi-Revilla,et al.  Invariance and universality in social agent-based simulations , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[44]  M. Newman.  Power laws, Pareto distributions and Zipf's law , 2005 .

[45]  F.J.M. Layer.  Automating decisions. Computers and the Policy-Making Community , 1969 .

[46]  Sean Luke,et al.  MASON: A Multiagent Simulation Environment , 2005, Simul..

[47]  Sean Luke,et al.  Tunably decentralized algorithms for cooperative target observation , 2005, AAMAS '05.

[48]  Claudio Cioffi-Revilla,et al.  Polichart Analysis of Global Issues in Human and Social Dynamics , 2007 .

[49]  Tim Gulden.  Spatial and temporal patterns in civil violence , 2002 .

[50]  Sumeeta Srinivasan.  Spatial Regression Models , 2008, Encyclopedia of GIS.

[51]  Robert Mandel.  An Evaluation of the “Balance of Power” Simulation , 1987 .

[52]  Donald W. Green,et al.  SOVMOD I: A Macroeconometric Model of the Soviet Union. , 1979 .

[53]  H. Martin Wobst,et al.  Boundary Conditions for Paleolithic Social Systems: A Simulation Approach , 1974, American Antiquity.

[54]  G. Nigel Gilbert,et al.  Simulation for the social scientist , 1999 .

[55]  Stuart A Bremer.  The Globus Model: Computer Simulation Of Worldwide Political And Economic Developments , 1991 .

[56]  Michael D. Ward,et al.  The Spatial Analysis of Peace and War , 1987 .

[57]  Daniel J. Brass,et al.  Network Analysis in the Social Sciences , 2009, Science.

[58]  L. Leydesdorff.  The Knowledge-Based Economy: Modeled, Measured, Simulated , 2006 .

[59]  Andrew M. Colman,et al.  The complexity of cooperation: Agent-based models of competition and collaboration , 1998, Complex..

[60]  D. Marc Kilgour,et al.  Perfect Deterrence , 2000 .

[61]  John Scott.  What is social network analysis , 2010 .

[62]  Allison G. Smith,et al.  From Words to Action: Exploring the Relationship between a Group's Value References and Its Likelihood of Engaging in Terrorism , 2004 .

[63]  Dieter Ruloff,et al.  The Dynamics of Conflict and Cooperation between Nations. A Computer Simulation and Some Results , 1975 .

[64]  Christopher B. Jones,et al.  Geographical Information Systems and Computer Cartography , 1997 .

[65]  Claudio Cioffi-Revilla,et al.  MASON RebeLand: An Agent-Based Model of Politics, Environment, and Insurgency , 2010 .

[66]  John Scott.  Social Network Analysis , 1988 .

[67]  Barry B. Hughes,et al.  Exploring and shaping international futures , 2006 .

[68]  D. Turcotte,et al.  Fractality and Self-Organized Criticality of Wars , 1998 .

[69]  H. L. Moore,et al.  Cours d'Économie Politique. By VILFREDO PARETO, Professeur à l'Université de Lausanne. Vol. I. Pp. 430. I896. Vol. II. Pp. 426. I897. Lausanne: F. Rouge , 1897 .

[70]  Cynthia Lum,et al.  The Effectiveness of Counter-Terrorism Strategies , 2006 .

[71]  Sean P. O'Brien,et al.  Anticipating the Good, the Bad, and the Ugly , 2002 .

[72]  C. Gros,et al.  Complex and Adaptive Dynamical Systems , 2008, 0807.4838.

[73]  Sean Luke,et al.  Mnemonic Structure and Sociality: A Computational Agent-Based Simulation Model , 2004 .

[74]  G. Williger,et al.  National Science Foundation , 1962, American Antiquity.

[75]  Gregory R. Madey,et al.  Tools of the Trade: A Survey of Various Agent Based Modeling Platforms , 2009, J. Artif. Soc. Soc. Simul..

[76]  John B. Rundle,et al.  Reduction And Predictability Of Natural Disasters , 1996 .

[77]  N. Johnson,et al.  From old wars to new wars and global terrorism , 2005 .

[78]  Harold Guetzkow,et al.  Simulation in International Relations: Developments for Research and Teaching. , 1964 .

[79]  Hayward R. Alker,et al.  Simulating International Conflict: A Comparison of Three Approaches , 1969 .

[80]  Stuart E. Madnick,et al.  Using System Dynamics to Model and Better Understand State Stability , 2007 .

[81]  Jeffrey M. Davis.  The determination of government expenditure for short-term forecasting and policy simulation models , 1976 .

[82]  R. Axelrod,et al.  Harnessing Complexity , 2022, Sync or Swarm, Revised Edition.

[83]  Christian Bierwirth,et al.  Principles of Systems , 2000 .

[84]  Ronen Feldman,et al.  Book Reviews: The Text Mining Handbook: Advanced Approaches to Analyzing Unstructured Data by Ronen Feldman and James Sanger , 2008, CL.

[85]  Harvey E. Starr.  Opportunity, willingness and geographic information systems (GIS): reconceptualizing borders in international relations , 2002 .

[86]  Charles M. Macal,et al.  Modeling Dynamic Multiscale Social Processes in Agent-Based Models , 2008, IEEE Intelligent Systems.

[87]  J. A. Bondy,et al.  Graph Theory , 2008, Graduate Texts in Mathematics.

[88]  P. M. Shearer,et al.  Zipf Distribution of U . S . Firm Sizes , 2022 .

[89]  M. Goodchild,et al.  Geographic Information Systems and Science (second edition) , 2001 .

[90]  Joshua M. Epstein,et al.  Growing Artificial Societies: Social Science from the Bottom Up , 1996 .

[91]  G. Bohrnstedt,et al.  Statistics for social data analysis , 1982 .

[92]  J. W. Bryant.  Global simulation models: A comparative study , 1975 .

[93]  Henrik Jeldtoft Jensen,et al.  Self-Organized Criticality: Emergent Complex Behavior in Physical and Biological Systems , 1998 .

[94]  Luciano Rossoni,et al.  Models and methods in social network analysis , 2006 .

[95]  David W. S. Wong,et al.  Statistical Analysis with ArcView GIS , 2000 .

[96]  Mark E. J. Newman,et al.  Structure and Dynamics of Networks , 2009 .

[97]  S. Kotz,et al.  Statistical Size Distributions in Economics and Actuarial Sciences , 2003 .

[98]  S. Auyang.  Foundations of Complex-System Theories: In Economics, Evolutionary Biology, and Statistical Physics , 1998 .

[99]  Helge Ritter,et al.  Listen to your Data: Model-Based Sonification for Data Analysis , 1999 .

[100]  John N. Warfield,et al.  World dynamics , 1973 .

[101]  D. Finegold.  Book and Resource Reviews , 2005 .

[102]  James B. M. Schick,et al.  Historical GIS , 2009 .

[103]  R. Lempert,et al.  Shaping the Next One Hundred Years: New Methods for Quantitative Long-Term Policy Analysis , 2003 .

[104]  John M. Swales,et al.  Consilience: The Unity of Knowledge , 1999 .

[105]  H. Simon,et al.  ON A CLASS OF SKEW DISTRIBUTION FUNCTIONS , 1955 .

[106]  R. Weber.  Basic Content Analysis , 1986 .

[107]  M. Cole.  Cross-cultural universals of affective meaning. , 1976 .

[108]  Gary King,et al.  An Automated Information Extraction Tool for International Conflict Data with Performance as Good as Human Coders: A Rare Events Evaluation Design , 2003, International Organization.

[109]  R. Brody.  Some systemic effects of the spread of nuclear weapons technology: a study through simulation of a multi-nuclear future , 1963 .

[110]  John H. Miller,et al.  Complex adaptive systems - an introduction to computational models of social life , 2009, Princeton studies in complexity.

[111]  H. Stanley,et al.  Introduction to Phase Transitions and Critical Phenomena , 1972 .

[112]  Tom A. B. Snijders,et al.  DYNAMIC SOCIAL NETWORK MODELING AND ANALYSIS , 2003 .

[113]  H. Russell Bernard,et al.  Social Research Methods: Qualitative and Quantitative Approaches , 2000 .

[114]  R. Badii,et al.  Complexity: Hierarchical Structures and Scaling in Physics , 1997 .

[115]  Scott W. Ambler,et al.  The Elements of UML(TM) 2.0 Style , 2005 .

[116]  Paul F. Kress.  On validating simulation: With special attention to simulation of international politics† , 1974 .

[117]  Tom A. B. Snijders,et al.  Social Network Analysis , 2011, International Encyclopedia of Statistical Science.

[118]  Edward R. Tufte,et al.  Envisioning Information , 1990 .

[119]  E. MacKerrow.  Understanding Why – Dissecting radical Islamist terrorism with agent-based simulation , .

[120]  Subir Ghosh,et al.  Reliability and Risk: A Bayesian Perspective , 2008, Technometrics.

[121]  Thomas C. Schelling,et al.  Dynamic models of segregation , 1971 .

[122]  Chien Chin Chen,et al.  An Aging Theory for Event Life-Cycle Modeling , 2007, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[123]  L. Richardson.  Variation of the Frequency of Fatal Quarrels with Magnitude , 1948 .

[124]  Claudio Cioffi-Revilla,et al.  Simplicity and reality in computational modeling of politics , 2009, Comput. Math. Organ. Theory.