A total of 49 students, about half of them male, from various countries and 4 student helpers attended the 2008 China Complex Systems Summer School organized by the Santa Fe Institute and the Chinese Academy of Sciences held in Beijing. We studied the development of the social network among...

In this paper, we focus on the effect of a network’s structure on the process of opinion formation. Emphasis is placed on the minority’s opinion evolution in a community structured network, where the majority rule is applied to govern the evolution. A model is developed for theoretical...

Detecting communities in complex networks is of considerable importance for understanding both the structure and function of the networks. Here, we propose a class of improved algorithms for community detection, by combining the betweenness algorithm of Girvan and Newman with the edge weight...

We show that the recently introduced label propagation method for detecting communities in complex networks is equivalent to finding the local minima of a simple Potts model. Applying to empirical data, the number of such local minima was found to be very high, much larger than the number of...

In this work, we attempt to capture patterns of co-occurrence across vowel systems and at the same time figure out the nature of the force leading to the emergence of such patterns. For this purpose, we define a weighted network where the vowels are the nodes and an edge between two nodes (read...

Situations of conflict giving rise to social dilemmas are widespread in society. One way of studying these important phenomena is by using simplified models of individual behavior under conflicting situations such as evolutionary game theory. Starting from the observation that individuals...