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Understanding Social Networks From a Multiagent Perspective

Yichuan Jiang, J. C. Jiang
2014 IEEE Transactions on Parallel and Distributed Systems  
By referring to typical types of coordination situations in multiagent systems, social networks in previous studies can be classified into three classes: cooperative social networks, noncooperative social  ...  Because coordination is critical for both multiagent systems and social networks, this paper classifies studies on social networks that are based on the coordination mechanisms among the actors in the  ...  A trust and reputation-based spreading model is based on agents' past behaviors in social networks.  ... 
doi:10.1109/tpds.2013.254 fatcat:f4ecmj4djjctjjwnbdj4x3fyuu

Fundamental properties of cooperative contagion processes

Li Chen, Fakhteh Ghanbarnejad, Dirk Brockmann
2017 New Journal of Physics  
We investigate the effects of cooperativity between contagion processes that spread and persist in a host population.  ...  We propose and analyze a dynamical model in which individuals that are affected by one transmissible agent A exhibit a higher than baseline propensity of being affected by a second agent B and vice versa  ...  Cooperativity of two contagion processes. Two agents, A and B, spread in a host population.  ... 
doi:10.1088/1367-2630/aa8bd2 fatcat:bikfyd27xve6nenpxwzizdhibi

Social learning in repeated cooperation games in uncertain environments

Peter Andras
2018 Cognitive Systems Research  
Here we use agent-based simulation to explore the interaction between social learning, cooperation and environmental uncertainty with and without easy to identify cooperation partners.  ...  We discuss the measurement of communication or language complexity metrics, which may be used as correlates of the level of cooperation.  ...  Table 1 . 1 The pay-off matrix of the games played by the agents Agent 1 Cooperate Defect Agent 2 Cooperate Table 2 . 2 Correlations of the level of cooperation with language complexity based  ... 
doi:10.1016/j.cogsys.2018.04.013 fatcat:ww5zlfutpban7pxlloftqydo6a


2007 International journal of pattern recognition and artificial intelligence  
In this paper, we present an Autonomy-Oriented Computing (AOC) based model of a social network, and study the dynamics of the network based on this model.  ...  as well as the resulting network performance based on the various behavioral strategies of social agents.  ...  Acknowledgments The authors of this work would like to acknowledge the support of the following research grants: (1)  ... 
doi:10.1142/s0218001407005582 fatcat:e5ivuglycnfbbmynoyale5hsvy

The role of competitiveness in the Prisoner's Dilemma

Marco A Javarone, Antonio E Atzeni
2015 Computational Social Networks  
Furthermore, we found other relevant phenomena as the emergence of hubs in directed networks.  ...  In continuous spaces, each agent computes its neighbors by an Euclidean distance-based rule, whereas in discrete spaces agents have as neighbors those directly connected with them.  ...  based on this game. In doing so, we can evaluate if, and under which conditions, cooperation emerges.  ... 
doi:10.1186/s40649-015-0024-5 fatcat:r6i7mdrli5fd3f2fx3e2jao7ia

Network localization and navigation via cooperation

Moe Win, Andrea Conti, Santiago Mazuelas, Yuan Shen, Wesley Gifford, Davide Dardari, Marco Chiani
2011 IEEE Communications Magazine  
Therefore, a deep understanding of information exchange and cooperation in the network is crucial for the design of location-aware networks.  ...  The performance of such networks can be significantly improved via the use of cooperation.  ...  SPATIO-TEMPORAL COOPERATION Building on the understanding of cooperative localization, we now discuss the case of cooperative navigation where agents in a dynamic network cooperate in both the space and  ... 
doi:10.1109/mcom.2011.5762798 fatcat:hpnouuvpq5auxnwuasxqrs22j4

Impact of Business Interoperability on the Performance of Complex Cooperative Supply Chain Networks: A Case Study

Izunildo Cabral, Antonio Grilo
2018 Complexity  
This paper proposes an agent-based model for evaluating the effect of business interoperability on the performance of cooperative supply chain networks.  ...  The model is based on insights from the Industrial Marketing and Purchasing network approach and the complex systems theory perspective.  ...  of complex cooperative supply chain networks.  ... 
doi:10.1155/2018/9213237 fatcat:o4evy4askzhiha73qupj45f5hy

Social Structure Facilitated the Evolution of Care-giving as a Strategy for Disease Control in the Human Lineage

Sharon E. Kessler, Tyler R. Bonnell, Joanna M. Setchell, Colin A. Chapman
2018 Scientific Reports  
When an agent is diseased, each agent in its care-giving network undergoes two screening processes, first based on disease recognition and second based on care-giving skills.  ...  On a population scale, our results suggest that care-giving enabled kin-based cooperatively breeding hominins, with increasingly complex contact networks, to prevent disease transmission from increasing  ...  To view a copy of this license, visit  ... 
doi:10.1038/s41598-018-31568-2 fatcat:lqydohpnxvhtpoicehlwkjbrzy

A Secure Trust Method for Multi-agent System in Smart Grids using Blockchain

Rabiya Khalid, Omaji Samuel, Nadeem Javaid, Abdulaziz Aldegheishem, Muhammad Shafiq, Nabil Alrajeh
2021 IEEE Access  
Today, DET networks are becoming complex due to the rapid increase in the number of energy users [5] . MAS offers a potential solution for a complex network of energy users.  ...  Repeated Game Theory for Multi-agent System in the Smart Grids BTMS is based on a game theory that enhances the cooperative behavior of agents.  ...  His research interests include the Internet of Things (IoT); cognitive radio-based IoT networks-architecture and design; mobile ad hoc networks; wireless sensor networks, performance, management, and security  ... 
doi:10.1109/access.2021.3071431 fatcat:atsodwtioje3piektjg2vuql74

Learning to coordinate in complex networks

Sven Van Segbroeck, Steven de Jong, Ann Nowé, Francisco C Santos, Tom Lenaerts
2010 Adaptive Behavior  
In that case, the strategy of an agent may become correlated with that of its neighbors on the one hand, and with its degree on the other hand.  ...  Network heterogeneity induces variation in learning speed, whereas network clustering results in the emergence of clusters of agents with similar strategies.  ...  We also want to thank Karl Tuyls for reviewing a draft of the manuscript. This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.  ... 
doi:10.1177/1059712310384282 fatcat:of463gnzpratdjvkoxinmy2vta

Online Social Network Information Dissemination Integrating Overconfidence and Evolutionary Game Theory

Xiaochao Wei, Yanfei Zhang, Yuyao Fan, Guihua Nie
2021 IEEE Access  
MULTI-AGENT SIMULATION MODEL DESIGN An agent-based model is an effective methodology for solving problems in complex systems [46] .  ...  For example, the real network dataset of Facebook (presented in Table II ), obtained based on the network learning model of McAuley et al.  ...  Author Name: Preparation of Papers for IEEE Access (February 2017)  ... 
doi:10.1109/access.2021.3090783 fatcat:tuzc7fwefjcffppaxymgkx2hqq

Evolutionary prisoner's dilemma game in flocks

Zhuo Chen, Jianxi Gao, Yunze Cai, Xiaoming Xu
2011 Physica A: Statistical Mechanics and its Applications  
Depending on the temptation to defect and the velocity at which agents move, we find that cooperation can not only be maintained in such a system but there exists an optimal size of interaction neighborhood  ...  When compared with the case that all agents do not move, cooperation can even be enhanced by the mobility of individuals, provided that the velocity and the size of neighborhood are not too large.  ...  Further, in agent-based models mobility of individuals can be involved explicitly as the movement of agents.  ... 
doi:10.1016/j.physa.2010.02.052 fatcat:gzeglwr5xrdbrn5vydoavhxnai

Understanding how retweets influence the behaviors of social networking service users via agent-based simulation

Yizhou Yan, Fujio Toriumi, Toshiharu Sugawara
2021 Computational Social Networks  
Subsequently, we conduct simulation-based experiments to understand the influence of retweets on the user behavior on various networks.  ...  Therefore, this study investigates the impact of retweets on the behavior of social media users from the perspective of networked game theory, and how the existence of the retweet mechanism in social media  ...  (eds) Complex Networks & Their Applications IX. COMPLEX NETWORKS 2020, Studies in Computational Intelligence, vol 943, Springer.  ... 
doi:10.1186/s40649-021-00099-8 fatcat:nqjsntl5avhedhrz7u2bfpm2w4

Evolutionary Prisoner's Dilemma Game in Flocks [chapter]

Zhuo Chen, Jianxi Gao, Yunze Cai, Xiaoming Xu
2009 Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering  
We investigate the effect of mobility on the evolution of cooperation in a flock model, where each player moves on the two-dimensional plane with the same absolute velocity.  ...  Experimental results have shown that with unconditional cooperation or defection, cooperation can be maintained in mobile players even for high velocities, as local interactions among players are enhanced  ...  Further, in agent-based models mobility of individuals can be involved explicitly as the movement of agents.  ... 
doi:10.1007/978-3-642-02469-6_38 fatcat:bxl3uwto5fedvgsaibli6i4x4a

Hierarchical invasion of cooperation in complex networks

Daniele Vilone, Valerio Capraro, José J Ramasco
2018 Journal of Physics Communications  
These findings have potential applications, as they suggest that, in order to promote cooperative behavior on complex networks, one should infect with cooperators high but not too high degree nodes.  ...  The emergence and survival of cooperation is one of the hardest problems still open in science.  ...  In fact, on complex networks, if we put the initial invaders only on nodes of the same grade k 0 , the first requirement (high connectivity) is satisfied for large k 0 , whilst the second one (high numerosity  ... 
doi:10.1088/2399-6528/aaab2e fatcat:36bbnn4nh5emljg55we253hafu
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