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19922026
Showing 2014 · physics.soc-phShow all

7 papers · 2 filters

physics.soc-ph2014★ 104 cited

How does public opinion become extreme?

Marlon Ramos, Jia Shao, Saulo D. S. Reis +4

We investigate the emergence of extreme opinion trends in society by employing statistical physics modeling and analysis on polls that inquire about a wide range of issues such as…

physics.soc-ph2014★ 183 cited

Percolation of localized attack on complex networks

Shuai Shao, Xuqing Huang, H Eugene Stanley +1

The robustness of complex networks against node failure and malicious attack has been of interest for decades, while most of the research has focused on random attack or hub-target…

physics.soc-ph2014★ 131 cited

Competing for Attention in Social Media under Information Overload Conditions

Ling Feng, Yanqing Hu, Baowen Li +3

Although the many forms of modern social media have become major channels for the dissemination of information, they are becoming overloaded because of the rapidly-expanding number…

physics.soc-ph2014★ 2 cited

Efficiency of message transmission using biased random walks in complex networks in the presence of traps

Loukas Skarpalezos, Aristotelis Kittas, Panos Argyrakis +2

We study the problem of a particle/message that travels as a biased random walk towards a target node in a network in the presence of traps. The bias is represented as the probabil…

physics.soc-ph2014★ 5 cited

Conditions for viral influence spreading through multiplex correlated social networks

Yanqing Hu, Shlomo Havlin, Hernán A. Makse

A fundamental problem in network science is to predict how certain individuals are able to initiate new networks to spring up "new ideas". Frequently, these changes in trends are t…

physics.soc-ph2014★ 17 cited

Non-consensus opinion model on directed networks

Bo Qu, Qian Li, Shlomo Havlin +2

Dynamic social opinion models have been widely studied on undirected networks, and most of them are based on spin interaction models that produce a consensus. In reality, however,…

physics.soc-ph2014★ 57 cited

Robustness of a Network Formed of Spatially Embedded Networks

Louis M. Shekhtman, Yehiel Berezin, Michael M. Danziger +1

We present analytic and numeric results for percolation in a network formed of interdependent spatially embedded networks. We show results for a treelike and a random regular netwo…