List of Articles تحلیل شبکه اجتماعی

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  1 - A Neighbor-based Link Prediction Method for Bipartite Networks
  Golshan Sondossi alireza saebi S. Alireza hashemi G.
  Social network analysis’ link prediction has a diverse range of applications in different areas of science. Bipartite networks are a kind of complex network, which can be used to describe various real-world phenomena. In this article, a link prediction method for bipart More

  Social network analysis’ link prediction has a diverse range of applications in different areas of science. Bipartite networks are a kind of complex network, which can be used to describe various real-world phenomena. In this article, a link prediction method for bipartite network is presented. Uni-partite link prediction methods are not effective and efficient enough to be applied to bipartite networks. Thus, to solve this problem, distinct methods specifically designed for bipartite networks are required. The proposed method is neighbor based and consisted of measures of such. Classic uni-partite link prediction measures are redefined to be compatible with bipartite network. Subsequently, these modified measures are used as the basis of the presented method, which in addition to simplicity, has high performance rates and is superior to other neighbor-based methods by 15% in average. Manuscript profile
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  2 - analysis of co-authorship network of Iranian regenerative medicine scholars;
  Atieh bozorgipour Soroosh Ghazinoori Mohammad Ghazinoori
  Co-authorship is one of the most common manifestations of scientific collaboration between researchers and scholars of scientific disciplines. The significant growth of this phenomenon in various scientific disciplines in the last two decades has made the study of diffe More

  Co-authorship is one of the most common manifestations of scientific collaboration between researchers and scholars of scientific disciplines. The significant growth of this phenomenon in various scientific disciplines in the last two decades has made the study of different features of co-authorship networks become an interesting issue for researchers. The study of these networks in various scientific disciplines such as mathematics, physics and information sciences using existing tools in the field of social network analysis has been considered. Due to the growing phenomenon of co-authorship in various fields of medical sciences, in this article, the co-authorship network of Iranian researchers in the field of reconstructive medicine has been analyzed. In addition, the network of scientific cooperation between Iranian institutions active in the field of reconstructive medicine has been analyzed and studied. Finally, based on the analysis, suggestions are made to improve the quantitative and qualitative level of research. Manuscript profile
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  3 - Analysis of Thematic Trends of Smart City Studies in the Recent Decade (From the Emergence of the Fourth Industrial Revolution to 2021)
  Alireza Noruzi Mohammad Reza Vasfi Somayyeh Jafari Baghiabadi
  10.52547/jstpi.39816.19.73.10
  The fourth industrial revolution, with the convergence of new technologies, has led to the emergence of smart cities. While the smartening of cities by governments has been happening at a high speed, the concept and implementation of the smart city are still being updat More

  The fourth industrial revolution, with the convergence of new technologies, has led to the emergence of smart cities. While the smartening of cities by governments has been happening at a high speed, the concept and implementation of the smart city are still being updated and changed. In this regard, the current research aims to analyze the thematic trends of publications on smart city in the Web of Science (WoS) database from the emergence of the fourth industrial revolution to 2021, and track the thematic trends of these studies. This scientometric research was carried out descriptively with the content analysis method, using the techniques of co-occurrence analysis and social network analysis. The trends of publications and citation influence of studies in the field of smart cities in the last decade has had an upward growth of 38.78% and 69.49%, respectively. In the three time periods, "IoT, City, Internet, and Wireless Sensor Network" have the most frequency, "IOT, City, Internet, and Wireless Sensor Network" have the most connections, and "ipv6, Sustainable City, and Urban Development" in 2012–2015, "Taxonomy, cloud objects and distributed computing" in 2016–2018 and "Literature review, urban informatics, and sustainable urban development" in 2019-2021 have received the most citations. In 2012–2015, clusters of sensor networks, smartphones, genetic algorithms, advanced sensors, ubiquitous city, and m2m; in 2016-2018 clusters of deep learning, participation, evolutionary algorithms, ubiquitous computing, and smart cities; and in 2019-2021 blockchain clusters, participation citizenship, IoT, topics, technologies, and tools.multi-agent systems, and Brazil were identified. Manuscript profile