以複雜網路的型態來呈現複雜系統中的互動關係是一種方便且行之有年的研究方法,
包括在生物學, 生態學, 社會學等等的領域上, 除了讓研究者有不同於以往該領域傳統議題的新 …

Identifying modular network structure is generally a problem of finding the correct community
membership of each node in a network. An alternative approach, clustering links, naturally …

Complex network topologies present interesting and surprising properties, such as
community structures, which can be exploited to optimize communication, to find new …

複雜網路領域的研究者近來發現許多的真實網路都具有顯著的區域群聚性與小世界現象二種拓
樸特性. 為了深入分析各種真實網路的細部結構樣式與特有的動態特性, 並釐清各種相似網路之 …

To understand the structure of a large-scale biological, social, or technological network, it
can be helpful to decompose the network into smaller subunits or modules. In this article, we …

The analysis of complex networks is an interdisciplinary area that combines many fields
such as data analysis, graph theory, computer science, etc. It gives an accurate description …

Research on complex networks has gone through its first decade with extraordinary
success. The most well-known results are probably the wide discoveries of smallworld and …

Network science is a powerful paradigm to better understand the complex systems
encountered in many different disciplines such as physics, sociology, biology and computer …

We consider an alternate definition of community structure that is functionally motivated. We
define network community structure based on the function the network system is intended to …

(in English) Various algorithms have been designed to detect overlapping community
structure in networks. The factor analysis, a classical multivariate data analysis method …