Rich Loop Club in Complex Networks (2009)
Zeng, An, Hu, Yanqing, Di, Zengru
The loop structure plays an important role in many aspects of the complex network and attracts much attention. In the previous studies, lots of researchers focused on the total number of loops and...
Emergence of Global Preferential Attachment From Local Interaction (2009)
Li, Menghui, Gao, Liang, Fan, Ying, Wu, Jinshan, Di, Zengru
Global degree/strength based preferential attachment is widely used as an evolution mechanism of networks. But it is hard to believe that any individual can get global information and shape the...
Analyzing Netizen's View and Reply Behaviors on the Forum (2009)
Yu, Jiefei, Hu, Yanqing, Yu, Min, Di, Zengru
Quantitative understanding of human behaviors provides elementary comprehension of the complexity of many human-initiated systems. In this paper, we investigate the behavior of people on the $BBS$...
Scaling properties in spatial networks and its effects on topology and traffic dynamics (2009)
Yang, Hua, Nie, Yuchao, Fan, Ying, Hu, Yanqing, Di, Zengru
Empirical studies on the spatial structures in several real transport networks reveal that the distance distribution in these networks obeys power law. To discuss the influence of the power-law...
Optimal Tree for Both Synchronizability and Converging Time (2009)
Zeng, An, Hu, Yanqing, Di, Zengru
It has been proved that the spanning tree from a given network has the optimal synchronizability, which means the index $R=\lambda_{N}/\lambda_{2}$ reaches the minimum 1. Although the optimal...
Orientation in Social Networks (2009)
Hu, Yanqing, Fan, Ying, Di, Zengru
Stanley Milgram's small world experiment presents "six degrees of separation" of our world. One phenomenon of the experiment still puzzling us is that how individuals operating with the social...
Measuring Significance of Community Structure in Complex Networks (2009)
Hu, Yanqing, Nie, Yuchao, Yang, Hua, Cheng, Jie, Fan, Ying, Di, Zengru
Many complex systems can be represented as networks and separating a network into communities could simplify the functional analysis considerably. Recently, many approaches have been proposed for...
Empirical Analysis and Evolving Model of Bipartite Networks (2008)
Zhang, Peng, Li, Menghui, Mendes, J. F. F., Di, Zengru, Fan, Ying
Many real-world networks display a natural bipartite structure. Investigating it based on the original structure is helpful to get deep understanding about the networks. In this paper, some...
A New Comparative Definition of Community and Corresponding Identifying Algorithm (2008)
Hu, Yanqing, Chen, Hongbin, Zhang, Peng, Li, Menghui, Di, Zengru, Fan, Ying
In this paper, a new comparative definition for community in networks is proposed and the corresponding detecting algorithm is given. A community is defined as a set of nodes, which satisfy that each...
The Scaling laws of Spatial Structure in Social Networks (2008)
Hu, Yanqing, Wang, Yougui, Di, Zengru
Social network structure is very important for understanding human information diffusing, cooperating and competing patterns. It can bring us with some deep insights about how people affect each...
Enhance the Efficiency of Heuristic Algorithm for Maximizing Modularity Q (2008)
Hu, Yanqing, Wu, Jinshan, Di, Zengru
Modularity Q is an important function for identifying community structure in complex networks. In this paper, we prove that the modularity maximization problem is equivalent to a nonconvex quadratic...
Community Detecting By Signaling on Complex Networks (2007)
Hu, Yanqing, Li, Menghui, Zhang, Peng, Fan, Ying, Di, Zengru
Based on signaling process on complex networks, a method for identification community structure is proposed. For a network with $n$ nodes, every node is assumed to be a system which can send,...
Least box number coverage problem for calculating dimension of fractal networks is a NP-hard problem. Meanwhile, the time complexity of random ball coverage for calculating dimension is very low. In...
The clustering coefficient and community structure of bipartite networks (2007)
Zhang, Peng, Wang, Jinliang, Li, Xiaojia, Di, Zengru, Fan, Ying
Many real-world networks display a natural bipartite structure. It is necessary and important to study the bipartite networks by using the bipartite structure of the data. Here we propose a...
The Role of Weight on Community Structure of Networks (2006)
Fan, Ying, Li, Menghui, Zhang, Peng, Wu, Jinshan, Di, Zengru
The role of weight on the weighted networks is investigated by studying the effect of weight on community structures. We use weighted modularity $Q^w$ to evaluate the partitions and Weighted Extremal...
Accuracy and Precision of Methods for Community Identification in Weighted Networks (2006)
Fan, Ying, Li, Menghui, Zhang, Peng, Wu, Jinshan, Di, Zengru
Based on brief review of approaches for community identification and measurement for sensitivity characterization, the accuracy and precision of several approaches for detecting communities in...
Effects of Weight on Structure and Dynamics in Complex Networks (2006)
Li, Menghui, Fan, Ying, Wang, Dahui, Liu, Na, Li, Daqing, Wu, Jinshan, ...
Link weight is crucial in weighted complex networks. It provides additional dimension for describing and adjusting the properties of networks. The topological role of weight is studied by the effects...
The Community Structure of Econophysicist Collaboration Networks (2005)
Zhang, Peng, Li, Menghui, Wu, Jinshan, Di, Zengru, Fan, Ying
This paper uses a database of collaboration recording between Econophysics Scientists to study the community structure of this collaboration network, which with a single type of vertex and a type of...
Evolving Model of Weighted Networks Inspired by Scientific Collaboration Networks (2005)
Li, Menghui, Wu, Jinshan, Wang, Dahui, Zhou, Tao, Di, Zengru, Fan, Ying
Inspired by scientific collaboration networks, especially our empirical analysis of the network of econophysicists, an evolutionary model for weighted networks is proposed. Both degree-driven and...
Weighted networks of scientific communication: the measurement and geometrical role of weight (2004)
Li, Menghui, Fan, Ying, Chen, Jiawei, Gao, Liang, Di, Zengru, Wu, Jinshan
In order to take the weight of connection into consideration and to find a natural measurement of weight, we have collected papers in Econophysics and constructed a network of scientific...
Chai, Lei, Wang, Dahui, Chen, Jiawei, Di, Zengru
We construct a Markov process model to describe the evolution of labor division and its dynamical behavior is investigated by numerical simulations in detail. We have shown that under the mechanism...
Increasing Returns to Scale, Dynamics of Industrial Structure and Size Distribution of Firms (2004)
Fan, Ying, Li, Menghui, Di, Zengru
A model is presented of the market dynamics to emphasis the effects of increasing returns to scale, including the description of the born and death of the adaptive producers. The evolution of market...
Emergence of Specialization from Global Optimizing Evolution in a Multi-Agent System (2004)
Di, Zengru, Chen, Jiawei, Wang, Yougui, Han, Zhangang
The evolution of specialization in a multi-agent system is studied both by computer simulation and Markov process model. Many individual agents search for and exploit resources to get global...
Network of Econophysicists: a weighted network to investigate the development of Econophysics (2004)
Fan, Ying, Li, Menghui, Chen, Jiawei, Gao, Liang, Di, Zengru, Wu, Jinshan
The development of Econophysics is studied from the perspective of scientific communication networks. Papers in Econophysics published from 1992 to 2003 are collected. Then a weighted and directed...
Physics of Econophysics (2004)
Wang, Yougui, Wu, Jinshan, Di, Zengru
Econophysics is a new area developed recently by the cooperation between economists, mathematicians and physicists. It's not a tool to predict future prices of stocks and exchange rates. It applies...
Division of Labor as the Result of Phase Transition (2002)
Wu, Jinshan, Di, Zengru, Yang, Z. R.
The emergence of labor division in multi-agent system is analyzed by the method of statistical physics. Considering a system consists of N homogeneous agents. Their behaviors are determined by the...
Increasing Returns to Scale, Dynamics of Industrial Structure and Size Distribution of Firms
Ying Fan, Menghui Li, Zengru Di
A model is presented of the market dynamics to emphasis the effects of increasing returns to scale, including the description of the born and death of the adaptive producers. The evolution of market...