Abstract
Public opinion from social network has proved to play important roles in usual life. How to extract them massive data from social network and social media has attract a lot research efforts. This paper addresses several key issues in the design and implementation of an event monitoring system based on social network. Our proposed system aims at extracting and mining social events from social network, and foucuses on: (1) Collecting data from weibo; (2) Extracting event information such as time and location; (3) Modeling and displaying. We describe the main architecture and processing flow of the system in detail.
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Acknowledgements
This work was supported by State Key Development Program of Basic Research of China (No. 2013CB329605), the Natural Science Foundation of China (No. 61300014), and also by the Fundamental Research Funds for the Central Universities [2013RC0301].
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Zhang, X., Jiang, G., Su, Y. (2015). Monitoring Social Events on Sina Weibo. In: Yueming, L., Xu, W., Xi, Z. (eds) Trustworthy Computing and Services. ISCTCS 2014. Communications in Computer and Information Science, vol 520. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47401-3_43
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DOI: https://doi.org/10.1007/978-3-662-47401-3_43
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