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Knowledge Evolution of Complex Agent Networks

Zhao Yeqing, J. Heled, A. Yuan
2018 MATEC Web of Conferences  
The agents take advantage of different social radius to form acquaintance networks based on the theory of social circles in the knowledge propagation network model, and the dynamic evolution process of  ...  Simulation results show that this model based on social circle theory can better realize the characteristics of the actual social network than the traditional network model established before, at the same  ...  Acknowledgements This work is supported by the key scientific and technological project of Henan province under Grant nos. 172102210168 and 16A520001.  ... 
doi:10.1051/matecconf/201817303050 fatcat:uq6ul7mhxjasfnl43srftuo5rq

Knowledge Evolution of Complex Agent Networks

Zhao Yeqing, Changde Lu, Xuesheng Pei, Jianning Su
2018 MATEC Web of Conferences  
The agents take advantage of different social radius to form acquaintance networks based on the theory of social circles in the knowledge propagation network model, and the dynamic evolution process of  ...  Simulation results show that this model based on social circle theory can better realize the characteristics of the actual social network than the traditional network model established before, at the same  ...  Acknowledgements This work is supported by the key scientific and technological project of Henan province under Grant nos. 172102210168 and 16A520001.  ... 
doi:10.1051/matecconf/201817603007 fatcat:7ys35kpxineq3b4akxkwdkmco4

Community Evolution of Social Network: Feature, Algorithm and Model [article]

Yi Wang, Bin Wu, Nan Du
2008 arXiv   pre-print
Then on its basis, we propose a novel core-based algorithm of tracking community evolution, CommTracker, which depends on core nodes to establish the evolving relationships among communities at different  ...  At last, we have developed a social network model which has the capabilities of exhibiting two necessary features above.  ...  Our model is based on the one proposed in Emily's model [21] , which takes into account social network aspects completely, such as meeting rate between pairs of individuals, decay of friendships, etc.  ... 
arXiv:0804.4356v1 fatcat:kgg3nd42m5bidjnn6oj2ugnt6m

A user interest community evolution model based on subgraph matching for social networking in mobile edge computing environments

Liang Jiang, Lu Liu, Jingjing Yao, Leilei Shi
2020 Journal of Cloud Computing: Advances, Systems and Applications  
In this paper, a novel User Interest Community Evolution (UICE) model based on subgraph matching is proposed for accurately detecting the corresponding communities in the evolution of the user interest  ...  However, how to detect evolutionary communities accurately and efficiently in dynamic heterogeneous social networks remains a fundamental problem.  ...  Availability of data and materials The datasets used or analysed during the current study are available from the corresponding author on reasonable request.  ... 
doi:10.1186/s13677-020-00217-3 fatcat:bei2zdhgbvborkodjq6febdwxy

Community Detection in Dynamic Social Networks: A Survey

Raju Enugala
2015 International Journal of Research and Applications  
A community in social networks indicates that nodes within the group are densely connected and the connections between groups are sparse.  ...  In this graph each individual is represented as a node and the relationship between them is represented as an edge. Community detection in social networks plays a vital role.  ...  The authors has developed dynamic stochastic block model for modeling communities and their evolution in a unified probabilistic framework.  ... 
doi:10.17812/ijra/2(6)/50 fatcat:ujwbjhc3z5anrguu57o6x7lilq

An Adaptive Networks Model to Simulate Consensus Formation Driven by Social Identity Recognition [article]

Kaiqi Zhang, Zinan Lv, Haifeng Du, Honghu Zou
2020 arXiv   pre-print
More importantly, there exists a critical point of phase transition, at which the network may evolve into a significant community structure and state-consistent group.  ...  Specifically, the similarity threshold significantly affects the evolution of the network with different initial conditions, and thus there emerges obvious community structure and polarization.  ...  In this paper, an adaptive network model is constructed based on social identity theory.  ... 
arXiv:2005.06887v1 fatcat:62zb4wzalre7loktsll2vj6zs4

Evolution in Social Networks: A Survey [chapter]

Myra Spiliopoulou
2011 Social Network Data Analytics  
How does a social network evolve -can we nd laws and derive models that explain its evolution? How do communities emerge in a social network and how do they expand or shrink?  ...  What is a community in an evolving network -can we claim that two communities seen at two distinct timepoints are the same one, even if they have next to no members in common?  ...  Modeling the activities in a dynamic social network as a stream of arriving events allows us to abstract the joint task of community discovery and community evolution monitoring as follows: one model M  ... 
doi:10.1007/978-1-4419-8462-3_6 fatcat:eorguarigndvnjdy3uosmxnige

An Adaptive Network Model to Simulate Consensus Formation Driven by Social Identity Recognition

Kaiqi Zhang, Zinan Lv, Hai Feng Du, Honghui Zou
2020 Complexity  
More importantly, there exists a critical point of phase transition, at which the network may evolve into a significant community structure and state-consistent group.  ...  Specifically, the similarity threshold significantly affects the evolution of the network with different initial conditions, and thus there emerges obvious community structure and polarization.  ...  Based on the above theoretical modeling, we construct an adaptive network model to simulate the coevolution of the network based on individuals' structures and states.  ... 
doi:10.1155/2020/1742065 fatcat:pbjlqirfnja5bjakc7akd3aor4

Public Opinion Evolution Based on Complex Networks

Yeqing Zhao
2015 Cybernetics and Information Technologies  
The Complex Agent Networks (CAN) model is studied, based on the adaptability, autonomy and activity of the individuals, as well as the complex interactions of individuals in an open community for probing  ...  The Sznajd model of sociophysics can describe the mechanism of making a decision in a closed community.  ...  Acknowledgements: The author wishes to thank Anyang Normal University for collecting the simulation data.  ... 
doi:10.1515/cait-2015-0006 fatcat:pwa6pbdbgnek3elafkn6k6rane

Evolutionary of online social networks driven by pareto wealth distribution and bidirectional preferential attachment

Bin Zhou, Xiao-Yong Yan, Xiao-Ke Xu, Xiao-Ting Xu, Nianxin Wang
2018 Physica A: Statistical Mechanics and its Applications  
Then a novel model is proposed to reproduce the essential evolution characteristics which are consistent with the ones of Renren online social network, and the evolutionary analytical solution to the model  ...  The model has significant implications for dynamic simulation researches of social networks, especially in information diffusion through online communities and infection spreading in real societies.  ...  Model, analytical solution and simulation We build a model based on the blend mechanisms above (see Methods), which can reproduce the observed essential evolution characteristics of Renren online social  ... 
doi:10.1016/j.physa.2018.05.049 fatcat:arhl3wkd7zgadhckkvw2inzcnu

An Overview on Opinion Spreading Model

Pei Liu, Xi Chen
2015 Journal of Applied Mathematics and Physics  
space, model parameter, social network and so on.  ...  This paper focus on make a summary of opinion evolution researches, we first review some classical opinion models, and then introduce the existing result of improvement models from the aspect of opinion  ...  After the emergence of classical models, many further researches focus on the models, from the model parameter, social network and evolution mechanism.  ... 
doi:10.4236/jamp.2015.34057 fatcat:qlomqf6ykjeo3cea6znubuz4ri

Community Evolutional Network for Situation Awareness Using Social Media

Xiaokang Fu, Yandong Wang, Mengmeng Li, Mingxuan Dou, Mengling Qiao, Kai Hu
2020 IEEE Access  
Based on the theory of community evolution, a community evolutional network is proposed to support and quantify the evolution of the topics.  ...  We address this problem using co-word network analysis and present a new method based on the community evolution of the co-word network to analyze topic evolution over time in social media.  ...  Based on the evolution of the communities, we propose a community evolutional network to support the quantification of topic evolution.  ... 
doi:10.1109/access.2020.2976108 fatcat:4ydnflzqevfonnem7a6qe6ufrm

Modularity Based Community Detection in Dynamic Social Networks

2021 International Journal of Advanced Trends in Computer Science and Engineering  
Regular change is one of the features of network observed while analyzing dynamic social networks. But it is not easy to find community detection on real world dynamic social network.  ...  Initially we take a static network, by moving a clique from one community to another community and flipping edge method in static network.  ...  In DSNG-M (Dynamic social network generator -based on modularity) [02] only consider edge evolution and TESN-M (Time evolving social network -based on modularity) [01] node and edge evolution with decrease  ... 
doi:10.30534/ijatcse/2021/181042021 fatcat:l6oy5m7fj5fc7btg57wxcbxtmu

Community Evolution Mining in Dynamic Social Networks

Mansoureh Takaffoli, Farzad Sangi, Justin Fagnan, Osmar R. Zäıane
2011 Procedia - Social and Behavioral Sciences  
In this paper, we present a framework for modeling and detecting community evolution in social networks, where a series of significant events is defined for each community.  ...  Recently, a number of researchers have started focusing on identifying critical events that characterize the evolution of communities in dynamic scenarios.  ...  A number of researchers are working on identifying critical events that characterize the evolution of communities in dynamic social networks.  ... 
doi:10.1016/j.sbspro.2011.07.055 fatcat:ug7yirlwizfj7fnqn3fxr2hxi4

Research on The Community Number Evolution Model of Public Opinion Based on Stochastic Competitive Learning

Wenzheng Li, Yijun Gu, Dechun Yin, Tianyu Xia, Jingya Wang
2020 IEEE Access  
This study proposed the community number evolution model of public opinion based on stochastic competitive learning, and the proposed model consists of an increase in the number of communities and a decrease  ...  This paper studied the evolution of the community in the process of public opinion propagation so as to put forward a public opinion evolution model for the network community number.  ...  Firstly, the past public opinion evolution models were all carried out on static social networks, ignoring the changes in social networks with the public opinion evolving.  ... 
doi:10.1109/access.2020.2978522 fatcat:kgtg4qfw45cihfd7pi6bigop4e
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