Given a large population of players, each player has three possible choices between option 1 or 2 or no option. The two options are equally favorable and the population has to reach consensus on one of the two options quickly and in a distributed way. The more popular an option is, the more likely it is to be chosen by uncommitted players. Uncommitted players can be attracted by those committed...

it is very important for managers, investors and financial policy-makers to detect and analyze factors affecting financial markets to obtain optimal decision and reduce risks. the importance of market analysis and attempt to improve its behavior understanding, has led analysts to use the experiences of other professionals in the fields such as social sciences and mathematics to examine the inte...

Modeling of network structures has been a popular issue in the study of complex networks. The use of complex network theory in modeling complex networks has gradually become a trend. In this study, the current research status of the modeling of complex networks was synthesized based on the BA scale-free network model. The advantages and disadvantages of most mainstream models were integrated, a...

The ability to control a natural or technological system is of paramount importance in science and engineering because it enables us to get a more detail picture of our understanding of those systems. Over the years various analytical tools have been developed to provide a solid framework for controllability of complex networks. A complex network, in context of network theory is a graph with no...

Complex networks are everywhere. This paper explores a new type of complex network, complex algorithm network constructed from evolutionary algorithms. The main aim of this paper is to investigate the topological properties underling the dynamics of the evolutionary algorithms. It uses complex network to describe individuals and their relationships while execution of a specific evolutionary alg...

Network theory provides various tools for investigating the structural or functional topology of many complex systems found in nature, technology and society. Nevertheless, it has recently been realised that a considerable number of systems of interest should be treated, more appropriately, as interacting networks or networks of networks. Here we introduce a novel graph-theoretical framework fo...

Most network scientists restrict their attention to relations between pairs of things, even though most complex systems have structures and dynamics determined by n-ary relation where n is greater than two. Various examples are given to illustrate this. The basic mathematical structures allowing more than two vertices have existed for more than half a century, including hypergraphs and simplici...

The metapopulation framework is adopted in a wide array of disciplines to describe systems of well separated yet connected subpopulations. The subgroups/patches are often represented as nodes in a network whose links represent the migration routes among them. The connections has been so far mostly considered as static, but in general evolve in time. Here we address this case by investigating si...

We consider the problem of determining how similar two networks (without known node-correspondences) are. This problem occurs frequently in real-world applications such as transfer learning and change detection. Many networksimilarity methods exist; and it is unclear how one should select from amongst them. We provide the first empirical study on the relationships between di↵erent networksimila...

In the recent years, social networks emerged rapidly and it's has become more complex. Social networks play an important role in the dissemination of information and the spread of influence. Several research studies are interested to the detection of the structure of complex networks, otherwise, to the community detection and leader detection. The major drawback of most of the proposed algorith...