List of Articles شاخص مرکزیت

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  1 - Developing an algorithm for defining key players in social networks by considering both individual characteristics and structure of relations between network’s members
  فرناز  برزین پور سمیه  علیزاده بنت الهدی  علی احمدی
  Social Network Analysis (SNA) is associated with the mapping and measuring of relationships and flows between people, groups, organizations, etc. Centrality measures in this context are defined to identify the most important actors in social network. One of the main cen More

  Social Network Analysis (SNA) is associated with the mapping and measuring of relationships and flows between people, groups, organizations, etc. Centrality measures in this context are defined to identify the most important actors in social network. One of the main centrality measures is closeness centrality; in this measure a node is more "central" if it is closer to many more nodes than any other node. In this paper, we develop a conceptual framework for defining centrality measures in complex networks. It is to be noted that one of the major limitations of determining centrality measures is concerning with the structure and effects of relations among people, groups or organizations in principle, and largely ignoring psychological attributes of the individuals. Therefore the proposed framework is based on the combination of two approaches: social network analysis and traditional social science approach by considering both structure of relations and individual characteristics. Detecting communities in complex networks is of considerable importance for understanding both the structure and function of the networks and it is necessary to interpret radial centrality measures. Therefore, we propose spectral clustering by determining the best number of communities as a prerequisite stage before finding closeness measures of centrality. Based on the proposed framework, an algorithm to compute the closeness centrality in complex networks is developed. We test the proposed algorithm on Zachary’s karate club network which is considerably used as a benchmark for community detection in a network. Experimental results indicate that the new algorithm is efficient at detecting both good inter-cluster closeness centrality and the appropriate number of clusters. Manuscript profile
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  2 - Evaluation of spatial pattern of functional distribution of settlements in Zebarkhan rural area (During the period 1375-1398)
  Nasibe Hosseini Hasan Afrakhteh Farhad Azizpour
  In this regard, with the aim of studying the rural spatial organization, the present study seeks to first determine and form a hierarchy of settlements that can be an effective framework for the distribution of services and functions at different levels, and finally the More

  In this regard, with the aim of studying the rural spatial organization, the present study seeks to first determine and form a hierarchy of settlements that can be an effective framework for the distribution of services and functions at different levels, and finally the prevailing spatial pattern in Identify the area. Therefore, in order to achieve the objectives of the research, using the centrality index and applying 35 variables, the studied settlements were classified at different functional levels (5 levels). It is noteworthy that the present study is applied in terms of purpose and based on descriptive-analytical method. The method of data collection is due to the nature of library and field research. Geographical territory of research is Zebarkhan village of Neishabour city. The findings of the study indicate that the lack of proper distribution of services and lack of spatial balance has increased mobility and movement between human settlements in the countryside. Hence, the two settlements of Ghadamgah, Darrud, have become the main places of intra-district traffic with the first ranks. Meanwhile, the villages of Bazhidar, Aliabad, Cheshmeh Khosrow, Mohammadabad, Qaredash, Qarebeik and Kalateh Lavidani are at the lowest level of development (deprived) and lack the minimum services and facilities.The results indicate that the pattern of flows is one-way relationships and no complementary, two-way and synergistic relationships are formed. Manuscript profile