Abstract
In recent years, we have witnessed an extraordinary growth in globally generated data. The automatic extraction of such extraordinary amount of data, together with innovative data mining and predictive analytics techniques, represents an innovative opportunity in supporting decision-making. Thus, the main aim of this paper is to explore the opportunity of integrating Big Data techniques with Network Analysis methods. In particular, our study employs descriptive measurements and clustering methods of Network Analysis in order to define relational structures within a Big Data set. We discuss a Big Data tool that collects and analyses information from user interactions with published news and comments about a case study related to a recent Italian constitutional review bill with important political implications.
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References
Cronin, B. (2011). A window on emergent European social network analysis. Procedia Social and Behavioral Sciences, 10, 1–4. doi:10.1016/j.sbspro.2011.01.001.
Cross, R., & Parker, A. (2004). The hidden power of social networks: Understanding how work really gets done in organizations. Boston: Harvard Business School Press.
de Nooy, W. (2015). Structure from interactive events. Big Data & Society, July-December, 1–4. doi:10.1177/2053951715603732.
Laumann, E. O., & Pappi, F. U. (1976). Networks of collective action: A perspective on community influence systems. New York: Academic Press.
Mazzeo Rinaldi, F., Giuffrida, G., & Negrete, T. (2017). Real-time monitoring and evaluation—Emerging news as predictive process using big data based approach. In G. Petersson & J. D. Breul (Eds.), Cyber society, big data and evaluation (Vol. 24, pp. 191–214). New Brunswick (NJ): Transaction.
McFarland, D. A., & McFarland, H. R. (2015). Big data and the danger of being precisely inaccurate. Big Data & Society, July-December, 1–4. doi:10.1177/2053951715602495.
Prell, C. (2012). Social network analysis: History, theory & methodology. London: SAGE Publications Inc.
Reader, S. M., & Leris, I. (2014). What shapes social decision making? (Open peer commentary). Behavioral and Brain Sciences, 37(1), 96–97. doi:10.1017/S0140525X13001842.
Reis, J., Benevenuto, F., Olmo, P., Prates, R., Kwak, H., An, J. (2015). Breaking the news: First impressions matter on online news. In Proceedings of the Ninth International AAAI Conference on Web and Social Media (pp. 357–366) Oxford University.
Sudhahar, S., Veltri, G. A., Cristianini, N. (2015). Automated analysis of the US presidential elections using big data and network analysis. Big Data & Society, 
January–June, 1–28. doi:10.1177/2053951715572916.
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Giuffrida, G., Gozzo, S., Mazzeo Rinaldi, F., Tomaselli, V. (2017). Big Data and Network Analysis: A Promising Integration for Decision-Making. In: Lauro, N., Amaturo, E., Grassia, M., Aragona, B., Marino, M. (eds) Data Science and Social Research. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Cham. https://doi.org/10.1007/978-3-319-55477-8_15
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DOI: https://doi.org/10.1007/978-3-319-55477-8_15
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