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Université de Fribourg

Identifying influential nodes in large-scale directed networks: the role of clustering

Chen, Duan Bing ; Gao, Hui ; Lü, Linyuan ; Zhou, Tao

In: PLoS ONE, 2013, vol. 8, no. 10, p. e77455

Identifying influential nodes in very large-scale directed networks is a big challenge relevant to disparate applications, such as accelerating information propagation, controlling rumors and diseases, designing search engines, and understanding hierarchical organization of social and biological networks. Known methods range from node centralities, such as degree, closeness and betweenness, to...

Université de Fribourg

Effects of social diversity on the emergence of global consensus in opinion dynamics

Yang, Han-Xin ; Wu, Zhi-Xi ; Zhou, Changsong ; Zhou, Tao ; Wang, Bing-Hong

In: Physical Review E, 2009, vol. 80, no. 4, p. 046108

We propose a variant of the voter model by introducing the social diversity in the evolution process. Each individual is assigned a weight that is proportional to the power of its degree, where the power exponent α is an adjustable parameter that controls the level of diversity among individuals in the network. At each time step, a pair of connected individuals, say i and j, are...

Université de Fribourg

Improve consensus via decentralized predictive mechanisms

Zhang, Hai-Tao ; Chen, Michael ZhiQiang ; Zhou, Tao

In: EPL Europhysics Letters, 2009, vol. 86, p. 40011

For biogroups and groups of self-driven agents, making decisions often depends on interactions among group members. In this paper, we seek to understand the fundamental predictive mechanisms used by group members in order to perform such coordinated behaviors. In particular, we show that the future dynamics of each node in the network can be predicted solely using local information provided by...

Université de Fribourg

Ultrafast consensus via predictive mechanisms

Zhang, Hai-Tao ; Chen, Michael ZhiQiang ; Zhou, Tao ; Stan, Guy-Bart

In: EPL Europhysics Letters, 2008, vol. 83, no. 4, p. 40003

An important natural phenomenon surfaces that ultrafast consensus can be achieved by introducing predictive mechanisms. By predicting the dynamics of a network several steps ahead and using this information in the consensus protocol, it is shown that, without changing the topology of the network, drastic improvements can be achieved in terms of the speed of convergence towards consensus and of...

Université de Fribourg

Collective behavior coordination with predictive mechanisms

Zhang, Hai-Tao ; Chen, Michael ZhiQiang ; Stan, Guy-Bart ; Zhou, Tao ; Maciejowski, Jan M.

In: IEEE Circuits and Systems Magazine, 2008, vol. 6, no. 3, p. 67 - 85

In natural flocks/swarms, it is very appealing that low-level individual intelligence and communication can yield advanced coordinated collective behaviors such as congregation, synchronization and migration. In the past few years, the discovery of collective flocking behaviors has stimulated much interest in the study of the underlying organizing principles of abundant natural groups, which has...

Université de Fribourg

Singularities and symmetry breaking in swarms

Li, Wei ; Zhang, Hai-Tao ; Chen, Michael ZhiQiang ; Zhou, Tao

In: Physical Review E, 2008, vol. 77, no. 5, p. 021920

A large-scale system consisting of self-propelled particles, moving under the directional alignment rule (DAR), can often self-organize to an ordered state that emerges from an initially rotationally symmetric configuration. It is commonly accepted that the DAR, which leads to effective long-range interactions, is the underlying mechanism contributing to the collective motion. However, in this...