Network analysis

The stock market plays an important role in the economic development of countries. Network analysis is one of the latest methods in analyzing the stock market. It is a new concept for a macro view of the whole market in quantitative science literature. Therefore, this research analyzes the available Shareholder network in the Tehran Stock Exchange from 2013 to 2017. This research is based on a type of data collected and analyzed is quantitative research. And, its’ type is network analysis. The research results indicate that many of shareholders are connected to each other, although a class structure governs their relations. Some of the shareholders, in comparison with others, have a better position. Having a better position caused them to encounter fewer mediators in gaining access to other shareholders, and also easier access to available resources. The shareholders’ ability in gaining access to information through the cluster of network members enhances too. Therefore, it is claimed that these shareholders can play the role of key actors in the governing structure. Also, the results of the Pareto distribution indicate that the distribution of power among the Shareholders is approximately 25/75, that is, 75 per cent of the strength in the hands of 25 per cent of the Shareholders.

The stock market has an important role in growth and development of countries. Network analysis is one of the latest method in analyzing the stock market. In quantitative science literature, It is a new concept for a macro view to whole market. Therefore, this research analyzes the interpersonal relationships’ network in the Tehran Stock Exchange (TSE). From the type of data collected and analyzed point of view, this study is a quantitative research in network analysis domain. The research period is from 2013 to 2017. Softwares such as PreMap and UCINET used for analyzing data. The research results indicated that some individuals, in comparison with others, have a better position in communicative networks. Having better position has caused these individuals to encounter fewer mediators in gaining access to others, and in turn easier access to available resources. In addition, their ability in gaining access to information enhanced via the cluster of network members. Therefore, it might be concluded that these individuals are key actors in governing structure of the TSE. Furthermore, this network follows a kind of bus morphology i.e. individuals act as a bridge for other units and connect them to the core of the communication network.

Firefighting station are one of the elements of public security in the city.to make them have the supposed role in public security; we should look at different urban facilities in detail and lend the city structure as a whole. Appropriate site selection of firefighting stations is one of the most important obligations of the city planners, which should be carefully planned and implemented. Better site selection is meant to avoid waste of resources in one hand and better capability of the stations on the other hand. In this research, best sites for the construction of new stations and moving of those stations with improper location in Tehran city has been studied. First, conceptual model of the study was defined, then, spatial layers and other information about site selection of the stations collected.in the next session Analytical Hierarchy process used to assign weights to spatial layers. This process was done based on the expert’s views and pair wise compactionmethod. After collection of expert views and in order to avoid wrong views, judgment compatibility amounts were calculated. After accepting of CR values, these weights used in future analyses. Network analysis, one of GIS spatial functions, used to find best routes from fire stations to affected area and service area of each station. Based on the analyses of this section and field checks, gave good attitude in terms of stations functionality. Regarding to the locations of existing stations, new stations proposed using a moving widow on the potential sites map.

The purpose of this paper is investigating the effect of JCPOA on the network behavior analysis of Tehran Stock Exchange indexes using the minimum spanning tree (MST) and hierarchical clustering. By simplifying a complex system, network analysis allows for the extraction of important and essential information from that system. In this paper, using network analysis the simultaneous behavior of 38 industry indexes in Tehran Stock Exchange in manufacturing, service and invest-ment sectors during 2012-2017 was investigated. These analysis included identi-fying the main indexes in the direction of moving other indexes using the MST, providing a classification using hierarchical clustering for the behavioral similarity of the indexes as well as examining the degree of integration (behavioral similarity) of market indexes over time. The results showed that investment, automobile, industry and medicine indexes in the research period had a major role in guiding other indexes and indexes can be classified into six groups in terms of behavioral similarity. The market has also been moving toward integration of indexes since early 2015 and beginning the executive steps of Joint Comprehensive Plan of Action (JCPOA). This reflects the investors' hope for the promotion of all indexes.

During the Iran agreement from 2011 to 2015 a pro-Iran deal campaign has started in the U.S. Critical questions for Iranian are: who were these people? Who funded them? From whom do they get their information? This study tried to answer these questions by following the pro-Iran deal actors from 2011 to 2015 in the United States. Therefore, a couple of actors were found who were in favor of the Iran deal. The work then followed the money and information transformation data of these pro-Iran deal actors. The article got into a socio-diagram of the interrelation of pro-deal funders and actors with the help of NVIVO 12 software. It also followed the role of the Obama administration in this network. The social network theory of power by Castells (2007) was used that indicates the importance of the social network in gaining discourse power to program-specific networks according to the interests and values of the programmers. So, with the help of theory, the article concluded that the Obama administration programmed a significant network to have the influence and the power to seal the deal in the U.S.; besides, the network tried to influence Obama policy toward Iran. The articles also categorized the supporters of the deal into eight groups: institutions in the prevention of nuclear weapons, the Iranian community, political advocacy groups, religious groups, think tank associations, Jewish institutions, those related to the Obama administration, and free funders.

INTRODUCTION: Sustainable urban development and sustainable cities are the most important challenges faced by humans in the 21st century, as the cities may suffer a lot of damage in times of crisis. Therefore, paying attention to the passive defense subject can significantly reduce the level of damage caused by disasters. The present study is conducted with the aim to provide a passive defense approach to selecting the best shelter for temporary accommodation. METHODS: This was a descriptive-analytical study in which the required information was collected using library and field methods. In order to analyze the information, the analytic network process (ANP) technique was employed in order to determine the importance coefficients of indicators in a real environment. Finally, by overlapping information layers, the most preferred locations were identified in proportion to the objective, and the system was used to draw the layers and determine the importance weights of the indicators. FINDINGS: Given the importance weights, the characteristics of a suitable place included areas with sufficient open spaces and at the same time, compatible with the surrounding uses with a relatively higher potential for the establishment of the injured. Therefore, due to the existence of open and suitable spaces as well as proper access, the outskirts of Tabriz, Iran, have a high capacity for accommodating the incident victims.

INTRODUCTION: The present study aimed to investigate communication, information exchange, cooperation, and trust networks in Iran's Humanitarian Supply Chain at both inter-organizational and interpersonal levels. METHODS: This applied research was conducted based on a descriptive survey design. The statistical population of this research included the organizations and people involved in relief operations performed in three recent disasters: the fire-induced collapse of the Plasco building, Shahran gas explosion, and the flash flood in the Tehran subway. In order to analyze networks, a questionnaire containing network analysis questions was designed. Upon the completion of the questionnaires, the data of each network were entered systematically into a matrix on an excel spreadsheet. Such indexes as degree centrality, betweenness centrality, intersection points, isolation points, and network density were calculated by Ucinet and NetDraw software packages; therefore, the networks were analyzed. FINDINGS: Based on the results obtained from the analysis of communication, information exchange, and cooperation networks, the network density was 21%, indicating a low level of organizational relationship. At this level of communication, information exchange and cooperation were obtained at 11.5% and 16.5%, respectively. The analysis of the trust network also illustrated that the density of this network was 26.6%, suggesting that out of 21% of connections, there was about a quarter of possible trust. This is suggestive of low levels of inter-organizational Trust. CONCLUSION: Building trust in Iran's humanitarian service supply chain can be very effective in the acceleration of service supply, organization, and success of relief operations

Tax is one of the primary sources of government revenue which is a principal part of the government budget and is considered an inevitable part of corporate payments. The Board of directors is one of the chief decision-making groups in determining corporate tax avoidance. Therefore, the relationships seen in the form of a social network between the board members of various companies can affect the tax policy of companies. The primary purpose of this study is to examine the structure of relationships between companies based on their joint board members and to detect the relationship between the companies position in the network of board members' relations with their tax planning activities. The statistical population of this research was all companies listed on the Tehran Stock Exchange from 2011 to 2020. The social network analysis approach developed on graphic techniques based on graph theory and regression analysis was used to conduct the research analysis. The research results show that some companies active in the Tehran Stock Exchange have a better position than other companies in the network. In addition, evidence showed that the status and position of companies in the network of relationships could affect the extent of their tax avoidance.

INTRODUCTION: The network of relief centers, which is a connected set of relief centers, rescue points, and rescue routes, is of utmost importance during an earthquake. This study aimed to model this network to identify the aid-receiving points and rescue routes, followed by the development of plans to improve the aid-giving process during an earthquake. METHODS: This descriptive-analytical study was conducted based on an applied research method and a quantitative approach. The required data were obtained through the library method (documents). The data used in this study included location information of relief centers (hospitals, crisis management centers, Red Crescent centers) and the transportation routes among them. These pieces of information were collected from related plans and documents. The obtained data related to the location of relief centers were analyzed using Spatial Analysis, and Network Analysis tools were utilized to analyze the transportation routes among the relief centers. FINDINGS: The findings in this study revealed the right places for receiving aid and the rescue routes that deliver aid from the aid-giving to the aid-receiving centers in the central zone of Tehran in the shortest time. Moreover, the relief centers were ranked based on their importance during a crisis. CONCLUSION: The results of this study show the number of required aid-receiving points in the central zone of Tehran through which the aid needed during a crisis can be delivered from rescue centers. The findings revealed which relief centers played a more significant role during an earthquake. The identification of these points and routes makes the provision of special planning possible during an earthquake.

In the field of corporate tax behavior, corporate governance mechanisms are effective for shaping and monitoring the behavior of managers. The board, which is responsible for allocating resources, improving performance and increasing shareholder wealth, plays a central role in choosing a tax management strategy. Hence, companies with different governance structures may adopt different types of tax management. Therefore, it can be argued that corporate governance mechanisms can affect corporate tax activities. In order to achieve the weight of the identified criteria, the network analysis process method was used. The purpose of this method was to structure the decision-making process, according to a scenario affected by multiple independent factors. In this method, there can be a relationship between all levels, while in the method of hierarchical analysis process, this relationship could only be from high levels to low levels. The method of the network analysis process, such as the hierarchical analysis process, calculates the inconsistency of all judgments by the conformity rate, and the calculated inconsistency rate must be less than 10%. The compatibility coefficient of the final matrix shows the validity of the questionnaire. In order to analyze the data, Super Decision 1.6.0 software developed by Thomas L. Saati, the inventor of this method, as well as MS Excel 2019 software were used. There is considerable evidence that increasing tax requirements can increase tax compliance, but typically some types of tax offenses are used as a tool to control the phenomenon of tax default.

With the rapid advancement of information and communication technology (ICT), public administration has adopted the concept of e-government. The academic literature produced many studies in the field of E-government (E-GOV) services, however, there is limited research on such services from the perspective of bibliometric and Network analysis. Therefore, this study aims to present a bibliometric and network analysis of the E-government services literature review obtained from the Scopus database, published between 2011 to 2021. This study uses a five-step method including (1) defining keywords, (2) initializing search outcomes, (3) inclusion and exclusion of some elements of the initial result, (4) compiling initial data statistics, and (5) undertaking analysis of data. The analysis starts by identifying more than 4,880 published articles related to E-government services published between 2011 and 2021. The study findings revealed that the highest number of publications on the E-government Service was in 2019 (102 articles), the top contributing affiliation was Brunel University London, the leading influential country was the USA, and the top contributing Source was Electronic Government. Furthermore, Lu J. occupied the first rank in the list of the most influential authors in terms of citations, while Weerakkody V. occupied the list of the top authors with high publications 20 papers. Likewise, this study showed that there is a collaboration among some authors. This research identified four research clusters by which researchers could be encouraged to widen the research of E-government services in the future. The bibliometric and network analysis of E-government services helps to graphically display the publication's assessment over time and identify domains of current studies' interests and potential directions for further studies. Finally, this research draws a roadmap for future investigation into E-government services.

Purpose- Scientific papers are presented for benefit in journals. The studies are carried out academically and in accordance with the needs of society. Therefore, examining them is essential to journals and academics. This paper aims to analyze the articles of the Journal of Rural Planning and Research and the connection of these articles with the challenges and obstacles of rural development.Design/methodology/approach- Scientometrics research was the basis of the current research. Scientometrics is defined as quantitatively studying science or measuring the quality and impact of research. As a field, Scientometrics uses statistical methods and techniques to quantify research and achievements to reveal the research development process and can be a tool for decision-making. The main themes include measuring research quality and impact, citation processes, mapping scientific fields, and using indicators in research policy and management. The method of collecting information was from libraries and the citation database in the "Publish or Perish" software program. The indexes of "Network Density", "Centrality Degree", "Betweenness Centrality", "Eigenvector" and "Clustering Coefficient", as well as "H-Index", were used in this study. Ravar Matrix was used to prepare the self-interaction matrix, and Ucinet and Gephi were used to analyze the indicators and make graphs. Also, the co-occurrence of the keywords of the articles was the basis for identifying the topics of the articles.Findings- Journal of Rural Research and Planning (JRRP), has published 348 articles in 10 volumes and 35 issues. Authors such as Anabestani, Barghi and Rezvani had the highest number of connections in the collaboration network. On the other hand, researchers like Taghdisi, Anabestani, Afrakhteh and Bouzarjomehri are the most influential authors of the Journal. Moreover, the main topic of the papers is Economic Development in rural areas. According to the changes and evolution of the leading research topics, the issue of sustainable development has been one of the main research approaches in the last few years. After that, studies have been conducted more on sustainable livelihood development, connected with other topics.Originality / value- Neglecting social and cultural challenges seems to be the common shortcomings of rural research besides rural development programs in Iran. This issue indicates the need for more integration in research and calls for attention in development programs.