Search Results - subject:"Complex Network"

Phase transition model for community detection

Wu, Jianshe; Lu, Rui; Jiao, Licheng; Liu, Fang; Yu, Xin; … - In: Physica A: Statistical Mechanics and its Applications 392 (2013) 6, pp. 1287-1301

Motivated by social and biological interactions, a novel type of phase transition model is provided in order to investigate the emergence of the clustering phenomenon in networks. The model has two types of interactions: one is attractive and the other is repulsive. In each iteration, the phase...

Persistent link: https://www.econbiz.de/10011060467

Measuring the dimension of partially embedded networks

Kondor, Dániel; Mátray, Péter; Csabai, István; … - In: Physica A: Statistical Mechanics and its Applications 392 (2013) 18, pp. 4160-4171

Scaling phenomena have been intensively studied during the past decade in the context of complex networks. As part of these works, recently novel methods have appeared to measure the dimension of abstract and spatially embedded networks. In this paper we propose a new dimension measurement...

Persistent link: https://www.econbiz.de/10011060503

Complex aperture networks

Ghaffari, H.O.; Sharifzadeh, M.; Young, R. Paul - In: Physica A: Statistical Mechanics and its Applications 392 (2013) 4, pp. 1028-1037

A complex network approach is proposed for studying the shear behavior of a rough rock joint. Similarities between … aperture profiles are established, and a functional complex network—in each shear displacement—is constructed in two directions …

Persistent link: https://www.econbiz.de/10011061760

Structural and topological phase transitions on the German Stock Exchange

Wiliński, M.; Sienkiewicz, A.; Gubiec, T.; Kutner, R.; … - In: Physica A: Statistical Mechanics and its Applications 392 (2013) 23, pp. 5963-5973

) technique, a particularly useful canonical tool of the graph theory, two transitions of the topology of a complex network …

Persistent link: https://www.econbiz.de/10011062449

COMPLEX NETWORK ANALYSIS IN CRICKET: COMMUNITY STRUCTURE, PLAYER'S ROLE AND PERFORMANCE INDEX

MUKHERJEE, SATYAM - In: Advances in Complex Systems (ACS) 16 (2013) 08, pp. 1350031-1

This paper describes the applications of network methods for understanding interaction within members of sport teams. We analyze the interaction of batsmen in international cricket matches. We generate batting partnership network (BPN) for different teams and determine the exact values of...

Persistent link: https://www.econbiz.de/10011010850

Non-monotonic increase of robustness with capacity tolerance in power grids

Ma, Tian-Lin; Yao, Jian-Xi; Qi, Cheng; Zhu, Hong-Lu; … - In: Physica A: Statistical Mechanics and its Applications 392 (2013) 21, pp. 5516-5524

The robustness of different scale power grids is analyzed based on complex network theory in terms of electrical …

Persistent link: https://www.econbiz.de/10010742304

Minimum spanning trees for community detection

Wu, Jianshe; Li, Xiaoxiao; Jiao, Licheng; Wang, Xiaohua; … - In: Physica A: Statistical Mechanics and its Applications 392 (2013) 9, pp. 2265-2277

A simple deterministic algorithm for community detection is provided by using two rounds of minimum spanning trees. By comparing the first round minimum spanning tree (1st-MST) with the second round spanning tree (2nd-MST) of the network, communities are detected and their overlapping nodes are...

Persistent link: https://www.econbiz.de/10010742312

Effects of community structure on navigation

Wang, Biao; Zhuo, Zhao; Cai, Shi-Min; Fu, Zhong-Qian - In: Physica A: Statistical Mechanics and its Applications 392 (2013) 8, pp. 1902-1908

The dynamic behaviors of the complex network are crucially affected by its structural properties, which is an essential …

Persistent link: https://www.econbiz.de/10010742331

Measuring persistence in a stationary time series using the complex network theory

Karimi, Somaye; Darooneh, Amir H. - In: Physica A: Statistical Mechanics and its Applications 392 (2013) 1, pp. 287-293

A growing interest exists currently in the analysis of time series by the complex network theory. Here we present a …

Persistent link: https://www.econbiz.de/10010588674

Characterizing traffic time series based on complex network theory

Tang, Jinjun; Wang, Yinhai; Liu, Fang - In: Physica A: Statistical Mechanics and its Applications 392 (2013) 18, pp. 4192-4201

A complex network is a powerful tool to research complex systems, traffic flow being one of the most complex systems …. In this paper, we use complex network theory to study traffic time series, which provide a new insight into traffic flow … the delay embedding theorem. Secondly, in order to convert the new time series into a complex network, the critical …

Persistent link: https://www.econbiz.de/10010679213