Scientific map

Today, due to the large volume of data and the high speed of data production, it is practically impossible to analyze data using traditional methods. Meanwhile, data mining, as one of the most popular topics in the present century, has contributed to the advancement of science and technology in a number of areas. In the recent decade, researchers have made extensive use of data mining to analyze data. One of the most important issues for researchers in this field is to identify common mainstreams in the fields of data mining and to find active research fields in this area for future research. On the other hand, the analysis of social networks in recent years as a suitable tool to study the present and future relationships between the entities of a network structure has attracted the researcher’s scrutiny. In this paper, using the method of co-occurrence analysis of words and analysis of social networks, the scientific structure and map of data mining issues in Iran based on papers indexed during the years 1388 to 1398 in the Civilica database is drawn, and the thematic trend governing research in this area has been reviewed. The results of the analysis show that in the category of data mining, concepts such as clustering, classification, decision tree, and neural network include the largest volume of applications such as data mining in medicine, fraud detection, and customer relationship management have had the greatest use of data mining techniques.

Collaboration in writing scientific articles with the growth of academic exchanges and social interactions of researchers is increasingly expanding. Scientific collaboration gives researchers the opportunity to combine the capabilities and abilities of different scientific and research disciplines, which cannot be done individually. Co-authorship is the most formal manifestation of intellectual collaboration between authors in the production of scientific research. On the other hand, the study of the trend of scientific activities and its dynamics in any specialized field is one of the most important concerns of researchers in that field. In recent years, the use of the social network analysis approach has been proposed as a suitable solution to map the scientific structure of specialized fields and the co-authorship network of researchers. In this research, the papers published in six web research conferences have been analyzed to discover the scientific network and the co-authorship based on the social network analysis approach. The results of the analysis show that in the period, concepts such as social network analysis, Internet of Things, cloud computing, and deep learning have the largest share in articles. Also, based on the number of communities formed, the authors of the conference papers were more inclined to form small scientific groups in the form of universities or research institutes of their respective organizations.

Purpose : The present article has been written to review studies in the field of social media evolution in human resources and the gaps in this research. This review paper is expected to motivate further research initiatives regarding the role of social media in different HRM practices. Method : The paper is based on 98 published papers collected from the Web of Science Database particularly from 1975 to 2021 (up to NOV) using VOSviewer software. Findings : After reviewing the paper contents, the author briefly highlighted the findings. According to studies, the results show that the issue of change has shifted to Transformation 4.0 in Media and HRM 4.0 in recent years. An approach that refers to concepts such as social networking and digital media. The results also show that traditional approaches to social media before 2018 are more related to Communication, Communities, Goals, Behavior, and so on. In recent years, concepts such as Technology, ACTIVISM, INTERNET USE, Facebook, Culture, etc. are related. Conclusion : The author expects that based on the findings; the organizational policymakers can get some practical guidelines regarding the efficient utilization of such a platform. In particular, the media can be a well-established platform for searching for competent employees and creating employer branding. Therefore, more and more research studies should be carried out focusing on this recent issue.