• List of Articles centrality

      • Open Access Article

        1 - Network Analysis for Walkability Based on Activity Distribution through UNA Tools )Case Study: Central Area of Tehran(
        Rama ghalambor dezfooli Negar Farzadi Moghadam
        Nowadays, encouraging people to walk in the urban streets is not possible without considering attractive activities for pedestrians. Analyzing activities in the urban networks needs to determine complex parallel spatial relationships between different buildings, public More
        Nowadays, encouraging people to walk in the urban streets is not possible without considering attractive activities for pedestrians. Analyzing activities in the urban networks needs to determine complex parallel spatial relationships between different buildings, public spaces, and routes that connect them. In this way, urban designers and planners have started to use network- based models which analysis numerous relationships in urban space and allow the experts to use that information in urban decision making. In this way the Urban Network Analysis Toolbox (UNA) – an open-source and free plug-in for ArcGIS – provides abilities for calculating parameters of accessibility in the road network. This solution can be used for evaluating pedestrian paths based on around activities of the network. UNA toolbox, models the built environment using three basic elements: edges, representing paths along which travelers can navigate; nodes, representing the intersections where two or more edges intersect; and buildings, representing the locations where traffic from streets enters into indoor environments or vice versa. Buildings can be replaced by any other point locations on the network. This paper tries to calculate and visualize the centrality indicator of activities in the road segments, in the central area of Tehran. The Centrality Tools of ArcGIS toolbox can be used to compute five types of graph analysis measures on spatial networks: Reach; Gravity; closeness; betweenness and straightness. Respect to the literature reviews, activities of a street as a public space, influence on walkability. Theoretical framework of this research was focused on space syntax theory and develop the concept which emphasized structure of network integration can be influenced on activity distribution. Therefore, in the first step, based on theoretical framework, the point of interest layer, which is generated by Tehran Municipality, was applied to select 50 layers of the retail activities and public interests, which are more attractive for pedestrians. Then the UNA toolbox was run to calculate the centrality indicator of each activity point. Then, generated value of each point was assigned spatially to the nearest road segment.  Finally, value for centrality of activities of each road segments were calculated, and the score of each road was determined. Finally, roads based on total centrality score classified and visualized with mapping in ArcGIS.  The results show that there are lots of roads in central districts of Tehran that have connected paths with high centrality of attraction activities for pedestrians. For example, in this case-study, ValiAsre street,enghelab street, and Jomhoury street have the most scores in centrality indicator. Also with Changing some land uses, new connected and integrated paths could be generated which can enhance walking interests. For example, Imam-Khomeini Street has much potential to transform to attractive path for walkability with changing some activities, especially the segment between 30Tir Street and HasanAbad. From the technical implications, findings of this research shows that applying this approach provides better recognition of the high potential urban networks to enhance livability and can be used to designing and planning livable-oriented spaces, especially for regeneration the central business districts and deteriorated areas.  Manuscript profile
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        2 - The Role of Social Network Centrality Indices in Spatial Organization Based on Design Records (Case Study: Emergency Department of Hospitals)
        Romisa Rahmati Gavari Hadi Ghodousi Far Mansoureh Tahbaz Fatemeh Zare Mirakabad
        One of the most important obligations of architects in the early stages of designing a plan is spatial organization planning in high functional sensitivity cases. In such buildings, a spatial organization as a part of architectural planning should be defined in accordan More
        One of the most important obligations of architects in the early stages of designing a plan is spatial organization planning in high functional sensitivity cases. In such buildings, a spatial organization as a part of architectural planning should be defined in accordance with the use, and the criteria for the use should be taken into account so that the plan can meet the functional needs. In order to achieve a proper functional organization of the spaces, the spaces need to be properly located depending on their function. The main hypothesis of this study is to apply the available knowledge in the design precedents to assess the spatial functional organization before construction and after the operation. With the emerge of space syntax theory in architecture, it has been possible to turn the plans into graphs. Therefore, for analyzing the nodes in the graph, it can be used from the centrality indexes raised in the theory of networks and social networks, which are subsets of the graph theory. One of the most important functional plans is the hospitals’ emergency department, which has two main therapeutic units consisting “under surveillance” and “urgency”. In this unit, there are spaces in which the main and vital operations of the emergency department are carried out. As a result, immediate access to these spaces and areas should be possible both for patients who have just entered this department and have an emergency condition (acute), and those who are temporarily admitted or treated in other areas of this department. This means the importance of locating such spaces and areas. Accordingly, the research was looking for indexes to make it possible to know how to organize the main areas of this department by applying them to the design data. The research methodology in this study is applied in terms of research purpose and is quantitative in terms of research nature. The method of data collection is based on the documentary method and the work doing method is by computer simulation, pre-implementation evaluation and post-operation evaluation. Sixty hospital’s emergency plans were selected as the statistical population (design case histories) for the research. Betweenness and proximity centrality indexes were calculated for all areas in the design data by CytoScape software. The main focus of the research is on the functional organization of the main emergency’s urgency area. It was found from the research based on the vital spaces and areas in the emergency department functioning, these spaces or the area in which they are located should be among the shortest paths between other spaces and areas (high betweenness centrality index) and the extent to which they are accessed from all the other spaces are equal (the proximity centrality index). As a result, this research has focused on two betweenness and proximity centrality indexes in order to analyze the organization of spaces and areas of the department. It became clear by calculating these indexes that the urgency area should be organized in such a way that it is of the highest betweenness and proximity centrality indexes. Manuscript profile
      • Open Access Article

        3 - Analysis of the Calibration Parameters of Development in Rural areas (Case Study: Rostam Districts 2- Rostem County)
        Ali Shamsodini
        Settlement village in stature Bom enverment first human biology, especially in developing countries due to economic, social and political trends in these countries, poverty, inequality and lack of development have been met. In this context, efforts to eliminate disparit More
        Settlement village in stature Bom enverment first human biology, especially in developing countries due to economic, social and political trends in these countries, poverty, inequality and lack of development have been met. In this context, efforts to eliminate disparities in rural and double. requires a broad understanding of the situation of the rural population is the development of these centers. The research discribe analytical method based on field data, we identify documental, to measure the degree of development of rural areas with district Rustem county has two steps. Measurement data using human development indicators and indicators of doing is centered. This research has analyzed 17 index and variables of economical, Infrastructural, Educational, and healthy levels of rural development. Health Educational and services has been done. The results show that: the villages studied in terms of enjoyment and development of a very low level, which is the migration of many rural areas to cities. The only other towns and villages Dehno high gain coefficient of rank very low. In terms of education and health village located in a more favorable conditions. In terms of employment and economic indicators as well as all the villages are underdeveloped and Impossibility. The indices indicate rank unself half studied rural development, which requires integrated planning in order to create balance and prepare the ground for the development of these centers is the settlement. Manuscript profile
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        4 - Detect Stable Community in Dynamic Social Networks Using Influential Nodes
        Taleb khafaei Alireza Tavakoli Taraghi Mehdi Hoseyn Zadeh Ali Rezaee
        Social networks have found many applications in people's daily lives today so that identifying the behavior of members of these types of networks and associations within them is of particular importance. Due to the structure and the way of communication between the memb More
        Social networks have found many applications in people's daily lives today so that identifying the behavior of members of these types of networks and associations within them is of particular importance. Due to the structure and the way of communication between the members of social networks, some members within this type of network have more important roles than other members. In this study, a method for identifying more important communities was discussed. For this purpose, new features were introduced using network centralization features and then the importance of this type of feature was investigated by Rough set theory. The experimental results showed that by increasing the number of popular nodes among a community where introduced in this study and at the same time decreasing the value of density, betweenness, and closeness centrality features of that community, it causes the effect of the number of popular nodes on the community will remain more evident. Manuscript profile
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        5 - A Study on Pakdasht’s Schools from Complexity, Centrality and Formality Perspective
        Serveh Ahmadi
      • Open Access Article

        6 - Language-sociological approach on Quranic verses of language (Lesan)
        Ayoub Youssef Pour Nezami
        This paper reflects on Language-sociological approach on Quranic verses of language (Lesan). To do this, in a terminological approach, the verses included the word (Lesan) were extracted and 24 verses were classified using late categorization method.Among 13 issues resu More
        This paper reflects on Language-sociological approach on Quranic verses of language (Lesan). To do this, in a terminological approach, the verses included the word (Lesan) were extracted and 24 verses were classified using late categorization method.Among 13 issues resulted from categorization, there are considerable frequency in subjects such as Arabic language, descending Quran and prophets’ missions. This finding besides other language explanations in Quran (explanation of man’s creation) is leading us to hypothesis of centrality of language in Quran. The main question of the paper is: Do the descending of Quran in Arabic (emphasis on this feature) is to match it with Arabic culture and language, improvement, reproduce and demonization of Arabic on Ajam?  In a comparative approach, linguistic viewpoint of Quran is compared with postmodern linguistic. The result is an incomplete plan of Quranic philosophy that could be reinforced in other studies with extracting other words synonymous to Lesan.  Manuscript profile
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        7 - An improved opposition-based Crow Search Algorithm for Data Clustering
        Rogayyeh Jafari Jabal Kandi Farhad Soleimanian Gharehchopogh
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        8 - Analysis and Examination of Benefiting level rural areas from agricultural service and assignment of central rural for agriculture service in Izeh Township
        صادق الهیاری سیاوش مولایی پارده
        Agriculture sector because of its ability in added value and employment on one hand and to provide food security and life of country socio-economic on the other hand, have an      important role in an international economic growth. Establishment More
        Agriculture sector because of its ability in added value and employment on one hand and to provide food security and life of country socio-economic on the other hand, have an      important role in an international economic growth. Establishment of effective service    system for former in rural society to be developed hasan important role. Aim of this        research evaluation benefiting level of rural of Izeh county from agriculture service at the base of 25 agriculture index and to assign of central rural at the base of number of            agriculture service. The method of research in this survey is descriptive and analytic. And information of the result of census and residence in 1388(2009) and report of center about distribution of rural agricultureservice have been accumulated and regulated. Data              analyzing Arc GIs and Spss, too, planning technique of centrality index and Morrisdishar moniousindexhas been used. Result of research with the using of both of method show that in the among of different rural area of Izeh and from the viewpoint of benefiting from      agriculture index, have a high difference, where different between the most benefit rural (east rural) toward the poorest rural (east Susan rural) was about five times. At the end, the assignment of difference in benefiting level of rural, proposal for planning and rural        development caretaker for omit of any inequality have been prescribed. Manuscript profile
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        9 - Social Network Analysis in Evaluation of criteria for the use of bibliometric
        najmeh salemi Gholamreza Fadaei Farideh Asareh
        Purpose: This survey tries to evaluate the centrality of the scientific network of university of Tehran articles which are indexed in Web of science between 1999-2008. Methodology: This research uses the social network analysis to reveal scientific map of university of More
        Purpose: This survey tries to evaluate the centrality of the scientific network of university of Tehran articles which are indexed in Web of science between 1999-2008. Methodology: This research uses the social network analysis to reveal scientific map of university of Tehran and find the works with high centrality.  4732 articles were collected from Web of science and 900 articles (with 10 citation thresholds) were analyzed with Citespace. Findings: The results reveals that Ganjali (chemist) is the central node in Tehran scientific network but other important nodes are not Iranian. Conclusion: The data shows there are 29455 references in articles and half of them are Iranian. In this work the most cited references with centrality and sigma were recognized. The result shows although citation is important but the most cited reference is not the central one. Manuscript profile
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        10 - A Typology of Financial Networks According to Their Typological ‎Characteristics (A Study of Tehran Stock Exchange)‎
        Majid Montasheri Hojjatollah Sadeqi
        The purpose of this study is ‎to establish and introduce a new financial network and to examine centrality ‎measures for optimizing the portfolio of investors as well as identifying ‎stock market leaders. In this study, 100 top stock companies with largest & More
        The purpose of this study is ‎to establish and introduce a new financial network and to examine centrality ‎measures for optimizing the portfolio of investors as well as identifying ‎stock market leaders. In this study, 100 top stock companies with largest ‎average market capitalization were selected from January 2009 to January ‎‎2020. The financial network was converted to logarithmic returns using ‎adjusted closing price. The concepts of graph theory and prim algorithm ‎were used to explore the relationships and distances between stocks to ‎construct a minimum spanning tree. The results showed that based on the ‎degree centrality measure, Iranian telecommunication stocks and Ayandeh ‎Bank, based on closeness centrality measure, Bahman investment stocks, ‎Omid capital financing and tourism bank, based on Betweenness centrality ‎measure, Omid capital financing stocks, Bahman investment and Asia ‎insurance, based on the bottleneck centrality measure, Asian Insurance ‎stocks, Tourism Bank and Omid Capital has the most impact on the financial ‎network and stock market. Finally, the financial network was divided into 9 ‎clusters, each cluster showing the stronger relationship of its components ‎with each other. ‎ Manuscript profile
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        11 - Development of Financial Networks Based on Cointegration Concept (A Study on Tehran Stock Exchange)
        Fateme Rasti Hojjatollah Sadeqi
        Network theory can be used to better understand the financial markets, which are one of the most complex concepts in today's world. Financial networks are a set of Nodes(vertices) and edges. Each node represents one stock and each edge indicates the relationship between More
        Network theory can be used to better understand the financial markets, which are one of the most complex concepts in today's world. Financial networks are a set of Nodes(vertices) and edges. Each node represents one stock and each edge indicates the relationship between the stocks. Early studies in this area used correlation coefficients to describe short-term relationships between stocks and market modeling. This modeling method applies to data that have symmetry and only determines the presence or absence of a relationship between stocks, and does not specify the type of relationship, the direction and weight of that relationship. In recent years, financial time series modeling has been done using the concept of cointegration. In this study using the time series stationary test,unit root tests of Dickey Fuller and KPSS ,and Engle-Granger test, cointegration based network were designed. In order to analyze this network, the centrality measures such as: centrality degree, between centrality, closeness centrality, page ranking and Bonacich were used. The results of this study show that cointegration networks can provide more complete graph of markets, and also central measures analysis can play an effective role in stock portfolio selection and provide a good model for understanding stock relationships. Manuscript profile
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        12 - Analysis of Financial networks in Tehran Stock Exchange using the application of centrality measures
        Majid Montasheri Hojjatollah Sadeqi
        The purpose of this study is to create a Financial network to identify stock market leaders using centrality measures.This study finally provides a clustering of superior stocks that can be used as an optimal stock portfolio by investors.The statistical population of al More
        The purpose of this study is to create a Financial network to identify stock market leaders using centrality measures.This study finally provides a clustering of superior stocks that can be used as an optimal stock portfolio by investors.The statistical population of all stock exchanges is that the 100 companies with the most capital were selected as a statistical sample over a period of 11 years.Due to the nature of the research ranking, the Kendall correlation coefficient was used to calculate the correlation.The Prime algorithm was used to identify relationships and construct the minimum spanning tree, and the fast-greedy algorithm was used to cluster stocks.The results show that in terms of degree centrality measure, stocks of Sepahan Cement companies,Omid Investment Management and Bank Melli Investment, based on closeness centrality measure, stocks of Sepahan Cement companies,International Building Development, and Khuzestan Steel, based on Betweenness centrality measure, the stocks of Sepahan Cement, Ghadir Investment and Bank Melli Investments, and finally based on the bottleneck centrality measure,the shares of Sepahan Cement, Khuzestan Steel and International Building Development have the greatest impact on the stock exchange network. Also, the top stocks were classified into 11 clusters,each of which shows a strong relationship between its components. Manuscript profile