Enhancing topology adaptation in information-sharing social networks
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Cimini, Giulio
Physics Department, University of Fribourg, Switzerland
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Chen, Duanbing
Web Sciences Center, School of Computer Science, University of Electronic Science and Technology of China, Chengdu, China
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Medo, Matúš
Physics Department, University of Fribourg, Switzerland
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Lü, Linyuan
Physics Department, University of Fribourg, Switzerland
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Zhang, Yi-Cheng
Physics Department, University of Fribourg, Switzerland - Web Sciences Center, School of Computer Science, University of Electronic Science and Technology of China, Chengdu, China
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Zhou, Tao
Physics Department, University of Fribourg, Switzerland - Web Sciences Center, School of Computer Science, University of Electronic Science and Technology of China, Chengdu, China
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Published in:
- Physical Review E - Statistical, Nonlinear, and Soft Matter Physics. - 2012, vol. 85, no. 4, p. 046108
English
The advent of the Internet and World Wide Web has led to unprecedent growth of the information available. People usually face the information overload by following a limited number of sources which best fit their interests. It has thus become important to address issues like who gets followed and how to allow people to discover new and better information sources. In this paper we conduct an empirical analysis of different online social networking sites and draw inspiration from its results to present different source selection strategies in an adaptive model for social recommendation. We show that local search rules which enhance the typical topological features of real social communities give rise to network configurations that are globally optimal. These rules create networks which are effective in information diffusion and resemble structures resulting from real social systems.
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Faculty
- Faculté des sciences et de médecine
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Department
- Département de Physique
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Language
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Classification
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Physics
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License
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License undefined
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Identifiers
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Persistent URL
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https://folia.unifr.ch/unifr/documents/302602
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