Overlapping community detection is a popular topic in complex networks. As compared to disjoint community structure, overlapping community structure is more suitable to describe networks at a macroscopic level. Overlaps shared by communities play an important role in combining different communities. In this paper, two methods are proposed to detect overlapping community structure. One is called...

According to the human's life style in this time and reduction of appropriate places for attendance of people¸ continuance of human's social life and improvement of human's social culture¸ people should be reconciled to the community complex by making essential bases. Social places belong to the all citizens and it defines by humans’ activities. So by making suitable potentials such as liveline...

Community structure is of paramount importance for the understanding of complex networks. Consequently, there is a tremendous effort in order to develop efficient community detection algorithms. Unfortunately, the issue of a fair assessment of these algorithms is a thriving open question. If the ground-truth community structure is available, various clustering-based metrics are used in order to...

Community analysis is an important way to ascertain whether or not a complex system consists of sub-structures with different properties. Avoiding the shortages of computation complexity and pre-given assumption, in this paper, we give a two level community structure analysis for the SSCI journal system by most similar node pairs. Five different strategies for the selection of node pairs are in...

Identification and classification of overlap nodes in communities is an important topic in data mining. In this paper, a new clustering method to uncover overlap nodes in complex networks is proposed. It is based on particles walking and competing with each other, using randomdeterministic movement. The new community detection algorithm can output not only hard labels, but also continuous-value...

Most current community detection methods for complex networks focus on partition. Community number estimation does not have the due attention it deserves, and the community number is only a by-product of community partition. In fact, knowing the community number in advance can speed up the partition process, especially for large scale and dynamic complex networks. This paper proposes a communit...

H OW CAN WE work together to establish, articulate, and pursue compelling visions for our field—visions that will shape the intellectual future of the field, that will catalyze research investment and public support, and that will attract the best and brightest minds of a new generation? The National Science Foundation asked the Computing Research Association to create the Computing Community C...

Radiological protection of non-human biota is being addressed by several national jurisdictions, including Canada, which is soon to set guidelines for radiation protection of the environment in accordance with the principle of sustainable development (AECB, 1998; IAEA, 1999). The development of regulatory policies and standards recognizes the environment as a complex system, and now incorporate...

We have found that known community identification algorithms produce inconsistent communities when the node ordering changes at input. We propose two metrics to quantify the level of consistency across multiple runs of an algorithm: pairwise membership probability and consistency. Based on these two metrics, we address the consistency problem without compromising the modularity. Our solution us...

Community detection is one of the most active fields in complex networks analysis, due to its potential value in practical applications. Many works inspired by different paradigms are devoted to the development of algorithmic solutions allowing to reveal the network structure in such cohesive subgroups. Comparative studies reported in the literature usually rely on a performance measure conside...