A Novel Fractal Model for Analyzing Complex Networks

سال انتشار: 1395
محل انتشار: چهارمین کنفرانس بین المللی پژوهش های کاربردی درمهندسی کامپیوتر و پردازش سیگنال
کد COI اختصاصی: CEPS04_018
زبان مقاله: انگلیسی
تعداد مشاهده: 626

نویسندگان

Science and Research Branch, Islamic Azad University,Birjand, Iran

Dept. of Computer Science & Software Engineering, Faculty of Engineering and Computer Science, Concordia University, Montreal, Quebec, Canada, H۳G ۱M۸ .Dept. of Computer Engineering, Faculty of Electrical and Computer Engineering, University of Birjand, B

Nasrin Mollania

Faculty of Basic Sciences, Hakim Sabzevari University,Sabzevar, Iran

چکیده

Owing to the importance of complex networks, in recent years, many studies have been conducted on these networks in order to analyze their structures and functions, since they play a crucial role in different sciences. Complex systems are composed of many units, by an important role and special functions. Owing to the intricate structure of networks is a network representation in which the nodes correspond to the other nodes of other units or the same unit. In recent years, many researchers have concentrated on generating networks with desired properties. To construct networks with realistic features, we introduce a new approach capable of generating different network types prescribed statistical properties and it can be used as a model of actual data. It is based on a mapping of the adjacency matrix in a 2D or 3D space. One of the important features is that the network topology structure becomes more accurate by increasing the size of the system. In fact, it is a self-similarity network evolving the model based on the attribute similarity on an adjacency matrix. As regards, each node has a value, then adjacent nodes have similar attribute and fall in a region. Therefore, scientists in different fields (such as computer science, electronic or complex systems) can use this self-similar structure allowing them to generate their desired network model. Furthermore, classifying and clustering data in networks are one of the most important features of this method.

کلیدواژه ها

Complex networks, fractal theory, self-similarity

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