In recent years, the social networks analysis gains great deal of attention. Social networks have various applications in different areas namely predicting disease epidemic, search engines and viral advertisements. A key property of social networks is that interpersonal relationships can influence the decisions that they make. Finding the most influential nodes is important in social networks b...

Policy networks consist of state and social actors whose interactions lead to the formulation and/or implementation of policies. One of the characteristics of networks is that power is usually distributed and lies in the relationships among actors. Therefore, network accountability can be problematic. The purpose of this study is to form a theoretical framework for accountability in public poli...

Background and Aim: Nowadays, one of the most important areas of application of information technology in the health sector is monitoring patients' condition. Recently utilization of body area sensor networks in healthcare had significant advances. The purpose of this article is to examine the applications of wireless health sensor networks in the field of health.  Materials and Methods: This ...

Background and Aim: The aim was to investigate the effect of membership in social networks and mental rumination on cognitive flexibility of female law students at Islamic Azad University of Ghaemshahr. Method: The research method was correlational.    Sample of 70 law students randomly selected by Krejcie Morgan. Instruments used were: 1. A questionnaire to study the effects of membership in ...

Stability of synchronous state is a fundamental problem in synchronization. We study Matrix Measure as an approach for investigating of stability of synchronous states of chaotic maps on complex networks. Matrix Measure is a measure which depends on network structure. Using this measure and comparing with synchronization threshold which depends on the function of the map, show us how the synchr...

Purpose: To identify the effects of social networks on the reading habits of students in Tehran SAMA high schools. Method: Data collection instrument was a questionnaire. A sample of 250 students, selected using Cochran formula, completed the questionnaire. Findings: Results showed that students daily class-related reading time was moderate (3/05). Daily non-class-related reading time was low...