Université de Fribourg

Identifying influential spreaders by weighted LeaderRank

Li, Qian ; Zhou, Tao ; Lü, Linyuan ; Chen, Duanbing

In: Physica A: Statistical Mechanics and its Applications, 2014, vol. 404, p. 47–55

Identifying influential spreaders is crucial for understanding and controlling spreading processes on social networks. Via assigning degree-dependent weights onto links associated with the ground node, we proposed a variant to a recent ranking algorithm named LeaderRank (Lü et al., 2011). According to the simulations on the standard SIR model, the weighted LeaderRank performs better than...

Université de Fribourg

Firm competition in a probabilistic framework of consumer choice

Liao, Hao ; Xiao, Rui ; Chen, Duanbing ; Medo, Matúš ; Zhang, Yi-Cheng

In: Physica A: Statistical Mechanics and its Applications, 2014, vol. 400, p. 47–56

We develop a probabilistic consumer choice framework based on information asymmetry between consumers and firms. This framework makes it possible to study market competition of several firms by both quality and price of their products. We find Nash market equilibria and other optimal strategies in various situations ranging from competition of two identical firms to firms of different sizes and...

Université de Fribourg

Adaptive social recommendation in a multiple category landscape

Chen, Duanbing ; Zeng, An ; Cimini, Giulio ; Zhang, Yi-Cheng

In: The European Physical Journal B, 2013, vol. 86, no. 2, p. 1–8

People in the Internet era have to cope with the information overload, striving to find what they are interested in, and usually face this situation by following a limited number of sources or friends that best match their interests. A recent line of research, namely adaptive social recommendation, has therefore emerged to optimize the information propagation in social networks and provide users...

Université de Fribourg

Enhancing topology adaptation in information-sharing social networks

Cimini, Giulio ; Chen, Duanbing ; Medo, Matúš ; Lü, Linyuan ; Zhang, Yi-Cheng ; Zhou, Tao

In: Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 2012, vol. 85, no. 4, p. 046108

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...