Data Analysis of Information Behaviors of Soft Power, Society and Security Research Groups of the Institute of Humanities, Cultural and Strategic Studies of the Ministry of Science, Research and Technology

Document Type : Original Article


Associate Professor, Department of Knowledge and Information Science, Science and Research Branch, Islamic Azad University, Tehran, Iran.


Propose: Nowadays, data mining plays an important role in information-oriented planning. Therefore, the present study aims to determine the information retrieval behavior of researchers in soft power, community and security research groups of the Institute of Humanities, and cultural and strategic studies of the Ministry of Science, Research and Technology, with a data mining approach as a tool to obtain intangible patterns of transactions and information retrieval behaviors while working with information resources in this area.
Methodology: The purpose of this research is applied studies and has been done by descriptive-survey method using neural network technique. The instrument of this research is a researcher-made questionnaire and the study population is 100 people. After collecting the data, the neural network was selected to cluster the data and using the software Matlab version 14, the researchers were clustered based on the main components of the research. The main sub-components of the research were identified as the most effective and least effective option in their information-seeking behavior in working with information resources in this specialized field.
Findings: Considering clustering using self-organizing neural networks, the most effective component in motivation and aim of the researchers for information seeking in was to improve the quality of teaching. The most effective component of the resources required was Persian full-text electronic journals. The most services in meeting their information needs were familiarity with a variety of resources in their special field.
Conclusion: Since today we are faced with a discussion of data governance and data, and the basis of the strategic element of any business. So, check the behavior of the data with different approaches, including significant importance and value of neural network techniques and special place. Therefore, according to the purpose of the present research findings, and reviews and information policy behaviors clustering information needs of researchers studied society (research groups, and Community power and Security Institute for Humanities and cultural studies, and strategic studies) with the use of this approach, to acquire knowledge and understanding of their information needs, and to prepare them for policy and provision of resources needed, and this would including the prolegomena is that effective research field, make the appropriate findings and results-oriented information to make a decision on this basis for managers and those involved in this field (and cyber space Soft power).


Alizadeh, S. & Malek-Mohammadi, S. (2011). Data Mining and Step-by-Step Knowledge Discovery with Clementine Software. Tehran: Khajeh Nasir al-Din Tusi University.
[In Persian]
Badr, A.; Mohammadesmaeil, S. & Heidari, H. (2017). Applying data mining technique in order to categorize the target users of the Central Library of Isfahan University of Technology (Studying the motives and information seeking behaviors of them). Iran J Inf Process Manag, 33(1): 275–98. [In Persian]
Brindesi, H. & Monopoli, M. (2013). Information seeking and searching habits of Greek physicists and astronomers: A case study of undergraduate students. Procedia-social and behavioral Sciences, 6(73): 758-793.
Ghazanfari, M.; Alizadeh, S. & Teymourpour, B. (2011). Data Mining and Knowledge Discovery.Tehran: Iran University of Science and Technology. [In Persian]
Hayati, Z.; Mozaffari, AS. & Manouchehri, R. (2014). Segmentation of public library clients based on their needs using artificial neural network, hierarchical analysis and Kano model. Information Research and Public Libraries, 20(3): 533-513. [In Persian]
Joshi, P.A. & Nikose, S.M. (2013). Information seeking Behaviours of Users: A Case Study of Private Higher Technical Libraries in Chandrapur District. Retrived Jan 20, 2016,
Microsoft (2007). Descriptive Culture of Microsoft Computer. Translated by Reza Hassanavi and Dariush Farsaei. Tehran: Associate Professor, courier of sciences. [In Persian]
Naimi, J.; Mohammadesmaeil, S. & Heidari, H. (1397). Determining the information needs and information seeking behavior of scholars of Khorasan Razavi seminary with a neural network approach. Library and Information Research Journal, 4(1): 118-91. [In Persian]
Naimi, J.; Mohammadesmaeil, S. (1395). Determining the information-seeking behavior of scholars of Khorasan Razavi University of Medical Sciences with the neural network approach. Library and Information Research Journal, 6 (2): 96-80. [In Persian]
Parhamnia, F. (2008). Introduction to Information. Kermanshah: Islamic Azad University. [In Persian]
Salimi, N.; Fahimnia, F. & Norouzi, A. (1399). Investigating the Relationship between Information Literacy of Users and Their Satisfaction with Library Services (Case Study: Central Library of Mohaghegh Ardabili University). Information Management Science and Technology, 6(1). [In Persian]
Shahrabi, J. & Shakorniaz, V. (2008). Concepts of Data Mining in Oracle. Tehran: Metallone. [In Persian]
Wilson, T.D. (2000). Human Information Behavior. Information Science, 3(2):49-65.