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Simulating Social Networks In Social Marketing
ECMS 2014 Proceedings edited by: Flaminio Squazzoni, Fabio Baronio, Claudia Archetti, Marco Castellani, 2014Community-based social marketing is a relatively new approach in marketing which makes use of social networks within communities to disseminate marketing messages in a information campaign. Agent-based models can be used as a tool for exploring the sensitivity of such campaigns to the structure of social networks within target communities.
Roderick Duncan +2 more
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2020 IEEE International Conference on Human-Machine Systems (ICHMS), 2020
Social simulation is a cutting edge topic in an interdisciplinary field where Information Technology and Social Science overlap. In this paper, we set out the fundamental requirements for social simulation systems and demonstrate that Role-Based Collaboration (RBC) and the Environments – Classes, Agents, Roles, Groups, and Objects (E-CARGO) model is ...
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Social simulation is a cutting edge topic in an interdisciplinary field where Information Technology and Social Science overlap. In this paper, we set out the fundamental requirements for social simulation systems and demonstrate that Role-Based Collaboration (RBC) and the Environments – Classes, Agents, Roles, Groups, and Objects (E-CARGO) model is ...
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A simulation method for social networks
Social Network Analysis and Mining, 2015With the increasing popularity of social networks, it is becoming more and more crucial for the decision makers to analyze and understand the evolution of these networks to identify for example, potential business opportunities. Unfortunately, understanding social networks, which are typically complex and dynamic, is not an easy task. In this paper, we
Rui Zeng, Quan Z. Sheng, Lina Yao 0001
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Social positions and simulation relations
Social Network Analysis and Mining, 2011Describing social positions and roles is an important topic within the social network analysis. Identi- fying social positions can be difficult when the target organization lacks a formal structure or is partially hidden. One approach is to compute a suitable equivalence relation on the nodes of the target network.
Joel Brynielsson +2 more
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A Tool for Simulated Social Experiments
SIMULATION, 2000A new agent-based model is presented of the investiga tion of collective behavior with a large number of deci sion makers operating in a stochastic environment. (An agent is an entity that interacts with and contributes to its environment. A set of agents can be a simplified representation of a society.) The model has three distinc tive new features ...
Miklos N. Szilagyi, Zoltan C. Szilagyi
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The Epistemologies of Social Simulation Research
2009What is the best method for doing simulation research? This has been the basis of a continuing debate within the social science research community. Resolving it is important if the community is to demonstrate clearly that simulation is an effective method for research in the social sciences.
G. Nigel Gilbert, Petra Ahrweiler
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2020
This book presents the state-of-the-art in social simulation as presented at the Social Simulation Conference 2018 in Stockholm, Sweden.
Verhagen, Harko +4 more
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This book presents the state-of-the-art in social simulation as presented at the Social Simulation Conference 2018 in Stockholm, Sweden.
Verhagen, Harko +4 more
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Social Simulations for Border Security
2012 European Intelligence and Security Informatics Conference, 2012EADS North America and George Mason University have partnered to build analytical tools for border security that incorporate social, cultural, behavioral and organizational aspects of interactions among border security forces, smugglers and the population and represent integrated technology architectures made up of fixed and mobile sensor and ...
Maciej M. Latek +3 more
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Social Simulation Arena: A Prospective Benchmark for Social Simulation
Can simulated societies predict what real people think, feel, and do? The field still lacks a common way to answer this question. Existing evaluations span different tasks, populations, and settings and are largely retrospective, making results difficult to compare and leaving forward generalization unclear.Li, Chance Jiajie +6 more
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Genetic Algorithm and Social Simulation
2002Artificial agents have been deployed in simulating social or economic phenomena in order to find optimal policy to govern agents' society. However, with an increase of the complexity of agents' internal behaviors as well as their social interactions, modeling social behaviors and tracking down optimal policies in mathematical form become intractable ...
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