- T. Larose, and C. D. Larose. Discovering knowledge in data: an introduction to data mining, vol. 4, John Wiley & Sons, 2014.
- K. Gupta, Introduction to data mining with case studies. PHI Learning Pvt. Ltd., 2014.
- Yoo, P. Alafaireet, M. Marinov, K. Pena-Hernandez, R. Gopidi, J. F. Chang, and L. Hua. “Data mining in healthcare and biomedicine: a survey of the literature”. Journal of medical systems, vol. 36, no. 4, pp. 2431-2448, 2012.
- Han, J. Pei, and M. Kamber, Data mining: concepts and techniques. Elsevier, 2011.
- Rip, and J. Courtial, “Co-word maps of biotechnology: An example of cognitive scientometrics”. Scientometrics, vol. 6, no. 6, pp. 381-400, 1984.
- He, “Knowledge discovery through co-word analysis”, Library Trends, Summer 1999, pp. 133-159, 1999.
- Giannakos, Z. Papamitsiou, P. Markopoulos, J. Read, and J. Pablo Hourcade, “Mapping child–computer interaction research through co-word analysis”. International Journal of Child-Computer Interaction, vol. 23-24, p. 100165, 2020.
- Callon, A. Rip, and J. Law, eds. Mapping the dynamics of science and technology: Sociology of science in the real world. Springer, 1986.
- Vinkler, The evaluation of research by scientometric indicators. Elsevier, 2010.
- Alcaide–Muñoz, M. P. Rodríguez–Bolívar, M. J. Cobo, and E. Herrera–Viedma. “Analysing the scientific evolution of e-Government using a science mapping approach”, Government Information Quarterly, vol. 34, no. 3, pp. 545-555, 2017.
- Chen, C. "Holistic sense‐making: conflicting opinions, creative ideas, and collective intelligence", Library Hi Tech, Vol. 25 No. 3, pp. 311-327,2007.
- E. C. M. Noyons, Bibliometric mapping as a science policy and research management tool. Diss. Centrum voor Wetenschaps-en, Faculty of Science, Leiden University, 1999.
- Börner, C.Chen, and K. W. Boyack, “Visualizing knowledge domains”, Annual Review of Information Science and Technology, vol. 37, no. 1, pp. 179-255, 2003.
- Chen, and Z. Y. Liu. “The rise of mapping knowledge domain”, Studies In Science of Science, vol. 2, 2005.
- Ames, “Mapping the field of arts and economics”, In Paper 16th International Conference on Cultural Economics, ACEI, Copenhagen, 2010.
- Guns, Y. X. Liu, and D. Mahbuba. “Q-measures and betweenness centrality in a collaboration network: a case study of the field of informetrics”, Scientometrics, vol. 87, no. 1, pp. 133-147, 2011.
- Dai, X. Duan, and W. Zhang, “Knowledge map of environmental crisis management based on keywords network and co-word analysis, 2005-2018”, Journal of Cleaner Production, vol. 262, p. 121168, 2020.
- Furht, Handbook of Social Network Technologies and Applications, Springer, 2010, p. 3.
- S. Lin, “Topic evolution of innovation academic researches”, Journal of Small Business Strategy, vol. 26, no. 1, pp. 25-36, 2016.
- Muñoz-Leiva, J. Sánchez-Fernández, F. J. Liébana-Cabanillas, and A. G. López-Herrera. “Applying an automatic approach for showing up the hidden themes in financial marketing research (1961–2010)”, Expert Systems with Applications, vol. 39, no. 12 pp. 11055-11065, 2012.
- C. Lee, and H. N. Su. “Quantitative mapping of scientific research—The case of electrical conducting polymer nanocomposite”, Technological Forecasting and Social Change, vol. 78, no. 1, pp. 132-151, 2011.
- Gan, Chunmei, and Weijun Wang. “Research characteristics and status on social media in China: A bibliometric and co-word analysis”, Scientometrics, vol. 105, no. 2, pp. 1167-1182, 2015.
- N. Yan, T. S. Lee, and T. P. Lee, “Mapping the intellectual structure of the Internet of Things (IoT) field (2000–2014): A co-word analysis”, Scientometrics, vol. 105, no. 2, pp. 1285-1300, 2015.
- P. Hu, J. M. Hu, S. L. Deng, and Y. Liu, “A co-word analysis of library and information science in China”, Scientometrics, vol. 97, no. 2, pp. 369-382, 2013.
- Chang, X. Zhou, L. Luo, C. Yang, H. Pan, and S. Zhang, “Hotspots in research on the measurement of medical students’ clinical competence from 2012-2016 based on co-word analysis”, BMC Medical Education, vol. 17, no. 1, p. 162, 2017.
- Elisabetta, M. Gabriele, S. Massimo, B. Sofia, and S. M. Giuseppe, “Structural trend and conceptual evolution of research on genetically modified organisms using a science mapping approach”, Journal of Cleaner Production, vol. 205, pp. 329-338, 2018.
- Piñeiro-Chousa, M. Á. López-Cabarcos, N. M. Romero-Castro, and A. M. Pérez-Pico, “Innovation, entrepreneurship and knowledge in the business scientific field: Mapping the research front”, Journal of Business Research, vol. 115, pp. 475-485, 2020.
- Baziyad, S. Shirazi, S. Hosseini, and R. Norouzi, “Mapping the intellectual structure of epidemiology with use of co-word analysis”, Journal of Biostatistics and Epidemiology, vol. 5, no. 3, pp. 210-215, 2019.
- Girard-Perier, S, Dorey, S. R. Marque, and N. Dupuy, “Mapping the scientific research on the gamma irradiated polymers degradation (1975–2018)”, Radiation Physics and Chemistry, vol. 168, p. 108577, 2020.
- Giannakos, Z. Papamitsiou, P. Markopoulos, J. Read, and J. P. Hourcade, “Mapping child–computer interaction research through co-word analysis”. International Journal of Child-Computer Interaction, vol. 23-24, p. 100165, 2020.
- Dai, X. Duan, and W. Zhang, “Knowledge map of environmental crisis management based on keywords network and co-word analysis, 2005-2018”, Journal of Cleaner Production, vol. 262, p. 121168, 2020.
- Hu, and Y. Zhang, “Research patterns and trends of Recommendation System in China using co-word analysis”, Information Processing & Management, vol. 51, no. 4, pp. 329-339, 2015.
- Nguyen, “Mapping knowledge domains of non-biomedical modalities: A large-scale co-word analysis of literature 1987–2017”, Social Science & Medicine, vol. 233, pp. 1-12, 2019.
- D. Blondel, J. L. Guillaume, R. Lambiotte, and E. Lefebvre, “Fast unfolding of communities in large networks”, Journal of Statistical Mechanics: Theory and experiment, no. 10 P10008, 2008.
Babak Teimourpour received his B.Sc in Industrial Engineering, Sharif University, Tehran, Iran in1996 and received his M.Sc. degree in Socio-Economic Systems Engineering, Institute for Research on Planning and Developement, Tehran, Iran in 1998. Also he received his Ph.D. in Industrial Engineering at Tarbiat Modares University, Tehran, Iran in 2010. His research interests include data mining, social network analysis.
Meysam Alavi was born in 1982 in Hamadan, Iran. He received his B.Sc. and an M.Sc. degree in Computer Engineering - Software in 2005 and 2010 respectively. Currently, he is an M.Sc. student in Information Technology at Tarbiat Modares University. His research interests include medical image processing, machine learning, data mining, social network analysis.
Fateme Shahrabi Farahani was born in 1993 in Tehran. She received her B.Sc. in Information Technology Engineering from the Department of Electrical and Computer Engineering, University of Tehran in 2016. Currently, she is an M.Sc. student in Information Technology at Tarbiat Modares University. Her research interests include data science and social network analysis.
Mina Ghasemi was born in 1991. She received her B.Sc. in Computer Engineering from Payam Noor University in 2015 and M.S. degree in Information Technology from Tarbiat Modares University in 2020. Her research interests include machine learning and bioinformatics.