Journal article

Enhancing topology adaptation in information-sharing social networks

  • Cimini, Giulio Physics Department, University of Fribourg, Switzerland
  • Chen, Duanbing Web Sciences Center, School of Computer Science, University of Electronic Science and Technology of China, Chengdu, China
  • Medo, Matúš Physics Department, University of Fribourg, Switzerland
  • Lü, Linyuan Physics Department, University of Fribourg, Switzerland
  • 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
  • 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
Show more…
    03.04.2012
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.
Faculty
Faculté des sciences
Department
Physique
Language
  • English
Classification
Physics
License
License undefined
Identifiers
Persistent URL
https://folia.unifr.ch/unifr/documents/302602
Statistics

Document views: 4 File downloads:
  • zho_eta.pdf: 1