Today , because of the complexities of cyberspace and its influence on many other fields from the national security viewpoint, the necessity of monitoring systems with cyberspace routing approach and also a global view of all its dimensions, including cultural, social, political, economic, security, military and science and technology seems more urging than ever. With the development of database systems and high volume data stored in these systems, there is a need for an instrument to process these stored data and information obtained from this process and aslo making them available to users. Ever increasing development of the communication tools in the field of information and communication technology, and the need to create intelligence dominance over this area toward prevention of surprises in crises encounterings, and considering the volume, velocity and variety of data in social networks, proves the neccessity for development of Big Data technology strategies in social network analysis. It is worth noting that this concept cannot in any way be dealt with traditional analytical methods and should modern technologies should be utilized instead. Since one of the main topics in the field of Big Data and data mining methods for remediation of achieving added value in the field is massive data, this study tries to identify the analysis and prioritization technologies needed to develop strategies of Big Data technology in social network analysis to predict the occurrence of crisis. According to the subject and objective of the study, type of applied-development research is used. The method of using quantitative methods and information gathering through a panel of experts and questionnaire fill-out, has been applied to a population of 20 elite students in the field of ICT and analysis utilizes big data strategy by means of Likert scale to evaluate priorities.
Cong, X. & Pandya, K., (2003). Issues of KM in the public sector. Electronic Journal of Knowledge Management, 1(2), 25-33.
کاستلز، مانوئل (1385). عصر اطلاعات: اقتصاد، جامعه و فرهنگ، جلد 1، ظهور جامعه‌ی شبکه‌ای، ترجمه‌ی احد علیقلیان، افشین خاکباز، حسن چاوشیان؛ ویراسته‌ی علی پایا، تهران، طرح نو، چاپ پنجم.
Braun A., Boden M., and Zappacosta M. (Eds.). (2003). Healthcare Technologies Road mapping: The Effective Delivery of Healthcare in the Context of an Ageing Society (HCTRM), JRC/IPTS-ESTO Study.
Chen, Z. S., Kalashnikov, D. V. and Mehrotra, S. (2009). Exploitingcontext analysis for combining multiple entity resolution systems. In Proceedings of the 2009 ACM International Conference on Management of Data (SIGMOD'09).
Thompson, J B.: Media and modernity(2013): A social theory of the media. John Wiley & Sons.
Kim, Y., Hsu, S-H., de Zuniga, H.G. (2013): Influence of social network use on discussion network heterogeneity and civic engagement: The moderating role of personality traits. Journal of Communication 63.3, 498-516.
Zhou, L., Ding, L., & Finin, T. (2011). How is the semantic web evolving? A dynamic social network perspective. Computers in Human Behaviour, 27(4), 1294-1302.
Kaschesky, M., Sobkowicz, P., Bouchard, G. (2011). Opinion Mining in Social network: Modelling, Simulating, and Visualizing Political Opinion Formation in the Web.In: The Proceedings of 12th Annual International Conference on Digital Government Research.
E. Letouz_e. (2011). Big Data for Development: Opportunities & Challenges. May 2011.
J. Gantz and D. Reinsel. IDC. (December 2012): The Digital Universe in 2020: Big Data, Bigger Digital Shadows, and Biggest Growth in the Far East.
Aggarwal, C. (2007). Data Streams: Models and Algorithms.Advances in Database Systems, Vol. 31, 2007, ISBN: 978-0-387-28759-1.
عبدالله زاده، احمد؛ معصومی، بهروز؛ آیتالله زاده شیرازی، محمدرضا (1384). مقدمهای بر هوش مصنوعی توزیع شده (معرفی عامل و سیستمهای چندعامله). تهران، انتشارات جلوه، 1384.
Hax, A.C. and No, M. (1992). Linking Technology and Business Strategies: A Methodological Approach and an Illustration. Working Paper, No. 3383-92BPS, Feb.
Khalil, T.M. (2000). Management of Technology – The Key to Competitivenessand Wealth Creation. McGraw-Hill.
محمود زاده، ابراهیم؛ نکویی، فرناز ؛ ابراهیم، محمد باقر (1390). الگوى راهبرد توسعه فناورى با رویکرد هم‌ترازی جهانی شرکت‌ها در کشورهای درحال توسعه. بهبود مدیریت، تهران، سال پنجم، شماره‌ی 1.
Mahmoodzade, E., sahraei, M., & Ghouchani Khorasani, M. M. (2017). Development of Big Data Strategy in Social Network Analysis toward Prediction of Crisis. Emergency Management, 6(1), 77-91.
MLA
Ebrahim Mahmoodzade; mahdi sahraei; Mohammad Mehdi Ghouchani Khorasani. "Development of Big Data Strategy in Social Network Analysis toward Prediction of Crisis". Emergency Management, 6, 1, 2017, 77-91.
HARVARD
Mahmoodzade, E., sahraei, M., Ghouchani Khorasani, M. M. (2017). 'Development of Big Data Strategy in Social Network Analysis toward Prediction of Crisis', Emergency Management, 6(1), pp. 77-91.
VANCOUVER
Mahmoodzade, E., sahraei, M., Ghouchani Khorasani, M. M. Development of Big Data Strategy in Social Network Analysis toward Prediction of Crisis. Emergency Management, 2017; 6(1): 77-91.
)
