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Computational Social Networks | Home page

Computational Social Networks showcases refereed papers dealing with all mathematical, computational and applied aspects of social computing. The objective of this journal is to advance and promote the theoretical foundation, mathematical aspects, and applications of social computing. Submissions are welcome which focus on common principles, algorithms and tools that govern network structures/topologies, network functionalities, security and privacy, network behaviors, information

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Computational Social Networks showcases refereed papers dealing with all mathematical, computational and applied aspects of social computing. The objective of this journal is to advance and promote the theoretical foundation, mathematical aspects, and applications of social computing. Submissions are welcome which focus on common principles, algorithms and tools that govern network structures/topologies, network functionalities, security and privacy, network behaviors, information

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Computational Social Networks | Home page | computationalsocialnetworks.springeropen.com Reviews

https://computationalsocialnetworks.springeropen.com

Computational Social Networks showcases refereed papers dealing with all mathematical, computational and applied aspects of social computing. The objective of this journal is to advance and promote the theoretical foundation, mathematical aspects, and applications of social computing. Submissions are welcome which focus on common principles, algorithms and tools that govern network structures/topologies, network functionalities, security and privacy, network behaviors, information

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computationalsocialnetworks.springeropen.com

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Polarization of coalitions in an agent-based model of political discourse | Computational Social Networks | Full Text

http://computationalsocialnetworks.springeropen.com/articles/10.1186/s40649-014-0007-y

Skip to main content. Polarization of coalitions in an agent-based model of political discourse. Leifeld; licensee Springer. 2014. First, political discourse is. Because political actors repeatedly participate in a policy debate. Consecutive statements of actors rather than simultaneous moves constitute the essence of a discourse. Second, political discourse is. There is rather an interaction in which actors frequently refer to what others said before. For this reason, social network analysis [ 3. On the...

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Computational Social Networks | About

http://computationalsocialnetworks.springeropen.com/about

Skip to main content. Topics include (but are not limited to) the following:. Social network design and architecture. Mathematical modeling and analysis. Information retrieval in social contexts, political analysts. Complex network robustness and vulnerability. Information diffusion models and analysis. Searching in complex networks. Big data analysis on online social networks. Why publish your article in. Gives you the opportunity to publish large datasets, large numbers of color illustrations and movin...

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Real-time topic-aware influence maximization using preprocessing | Computational Social Networks | Full Text

http://computationalsocialnetworks.springeropen.com/articles/10.1186/s40649-016-0033-z

Skip to main content. Real-time topic-aware influence maximization using preprocessing. View ORCID ID profile. In this paper, we focus on the topic-aware influence maximization task. In particular, we study preprocessing methods to avoid redoing influence maximization for each mixture from scratch. We explore two preprocessing algorithms with theoretical justifications. Is the task of finding a set of. In a social network such that the influence propagated from the seed nodes can reach the largest number...

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Computational Social Networks | Editorial Board

http://computationalsocialnetworks.springeropen.com/about/editorial-board

Skip to main content. Department of Computer Science, University of Texas at Dallas, Texas, USA. My T Thai,. Department of Computer and Information Sciences and Engineering, University of Florida, Gainesville, USA. Fan Chung Graham,. University of California at San Diego, USA. Panos M. Pardalos,. University of Florida, USA. Fred S. Roberts. Rutgers University, USA. Institute of Applied Mathematics, AMSS, CAS, China. Idiap, Switzerland; Rosa M. Benito. Northeastern University, USA; Paolo Boldi. Arizona St...

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Why continuous discussion can promote the consensus of opinions? | Computational Social Networks | Full Text

http://computationalsocialnetworks.springeropen.com/articles/10.1186/s40649-016-0035-x

Skip to main content. Why continuous discussion can promote the consensus of opinions? Why group opinions tend to be converged through continued communication, discussion and interactions? Social influence network theory. Burt suggested that structural equivalence is the factor for the adoption of new ideas [ 2. Ie, the influence of social network structure on opinions dynamics, we will investigate under what conditions opinions in a group can reach consensus and average consensus. The importance of grou...

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This website uses cookies. By using our website and agreeing to our cookies policy, you consent to our use of cookies in accordance with the terms of this policy. Read more. Your cart is empty. You'll find more products in the shopping cart. Food Science and Nutrition. Societies and Publishing Partners. Open Access and Springer. Springer for Hospitals and Health. Computational Social Networks - a SpringerOpen journal. Computational Science and Engineering. Dynamical Systems and Differential Equations.

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Computational Social Networks - a SpringerOpen journal

Bottom,Top,Middle,Right1. My Computational Social Networks. Ding-Zhu Du, University of Texas at Dallas. My T Thai, University of Florida. There has been an error retrieving the data. Please try again. Classifying latent infection states in complex networks. Lim Y, Ribeiro B and Towsley D. 8 (21 April 2015). Efficient network generation under general preferential attachment. Atwood J, Ribeiro B and Towsley D. 7 (15 April 2015). Efficiently identifying critical nodes in large complex networks.

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Computational Social Networks | Home page

Skip to main content. Detection of strong attractors in social media networks. Ziyaad Qasem, Marc Jansen, Tobias Hecking and H. Ulrich Hoppe. Published on: 7 December 2016. Text normalization for named entity recognition in Vietnamese tweets. Vu H Nguyen, Hien T. Nguyen and Vaclav Snasel. Published on: 1 December 2016. Why continuous discussion can promote the consensus of opinions? Zhenpeng Li, Xijin Tang, Benhui Chen, Jian Yang and Peng Su. Published on: 21 November 2016. Published on: 10 November 2016.

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