Abstract
With the widespread use of social media, social networks have become an important information carrier and platform for users to explore the world. Social networks not only reflect the hot events in society but also influence the trends and evaluation of events through user network behaviors. In this paper, a situation evaluation system is established for social event trends. We use web crawlers to collect multi-source data for a series of events of interest to form a basic knowledge base, and based on this, we extract statistical data and language features. Then, we use the Analytic Hierarchy Process (AHP) algorithm to calculate the weight of important features that can capture the development of the event situation and establish a hot social event situation evaluation system. Finally, we apply this system and stream computing technology to achieve situational awareness of events in real-time.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Schuler, D.: Social computing. Commun. ACM 37(1), 28–29 (1994)
Dryer, D.C., Eisbach, C., Ark, W.S.: At what cost pervasive? A social computing view of mobile computing systems. IBM Syst. J. 38(4), 652–676 (1999)
WorldBank: World bank (2018). https://data.worldbank.org.cn/country/US
Communique, S.: Statistical communique of the People’s Republic of China on 2017 national economic and social development (2018). http://www.gov.cn/xinwen/2018-02/28/content_5269506.htm
Becker, H., Naaman, M., Gravano, L.: Beyond trending topics: real-world event identification on Twitter. In: ICWSM (2011)
Roesch, M.: Snort - lightweight intrusion detection for networks. In: Proceedings of the 13th USENIX Conference on System Administration, pp. 229–238 (1999)
Porras, P.A., Fong, M.W., Valdes, A.: A mission-impact-based approach to INFOSEC alarm correlation. In: Wespi, A., Vigna, G., Deri, L. (eds.) RAID 2002. LNCS, vol. 2516, pp. 95–114. Springer, Heidelberg (2002). https://doi.org/10.1007/3-540-36084-0_6
Qu, G., Raghavendra, C.S., Dharmagadda, T., Hariri, S., Ramkishore, M.: Impact analysis of faults and attacks in large-scale networks. IEEE Secur. Priv. 1(05), 49–54 (2003). https://doi.org/10.1109/MSECP.2003.1236235
General Administration of Quality Supervision, I., Quarantine of the People’s Republic of China, S.A.o.t.P.R.o.C.: Information security technology\(\_\)guidelines for the category and classification of information security incidents (2017)
Xun-xun, C., Bin-xing, F., Ming-zeng, H., Lei, L.: A new field in security of internet information and content-network information penetration detection technology. J. China Inst. Commun. 25(7), 185–191 (2004)
Bin-xing, F., Yun-chuan, G., Yuan, Z.: Information content security on the internet: the control model and its evaluation. Sci. China Ser. F Inf. Sci. 53(1), 30–49 (2010). https://doi.org/10.1007/s11432-010-0014-z
Yuan, W.: Research on mining of internet public opinion based on semantic and statistic analysis. Ph.D. thesis, Wuhan University of Technology (2012)
Barroso, N., de Ipiña, K.L., Ezeiza, A., Hernández, C.: An ontology-driven semantic speech recognition system for security tasks. In: 2011 Carnahan Conference on Security Technology, pp. 1–6 (2011). https://doi.org/10.1109/CCST.2011.6095948
Xiu-zhen, C., Qing-hua, Z., Xiao-hong, G., Chen-guang, L.: Quantitative hierarchical threat evaluation model for network security. J. Softw. 17(4), 885–897 (2006)
Lei, L., Hui-qiang, W., Ying, L.: Evaluation method of service-level network security situation based on fuzzy analytic hierarchy process. J. Comput. Appl. 29(9), 2327–2331, 2335 (2009)
Hong-xing, C.: Research and simulation of network security evaluation based on AHP weights calculation. Comput. Simul. 30(8), 266–269 (2013)
Fu-yong, X., Jian, S., Jian-ying, L.: Study on comprehensive assessment method for network security based on Delphi and ANN. Microcomput. Dev. 15(10), 11–13, 15 (2005)
Saaty, T.L.: Decision making with the analytic hierarchy process. Int. J. Serv. Sci. 1(1), 83 (2008)
Acknowledgements
This study was jointly supported by National Natural Science Foundation of China (No. 61772081), Scientific Research Project of Beijing Educational Committee (No. KM201711232014). We thank anonymous reviewers for their detailed and constructive comments.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Li, B., Chen, R., Zhang, Y. (2020). A Situation Evaluation System for Specific Events in Social Media. In: Hong, JF., Zhang, Y., Liu, P. (eds) Chinese Lexical Semantics. CLSW 2019. Lecture Notes in Computer Science(), vol 11831. Springer, Cham. https://doi.org/10.1007/978-3-030-38189-9_46
Download citation
DOI: https://doi.org/10.1007/978-3-030-38189-9_46
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-38188-2
Online ISBN: 978-3-030-38189-9
eBook Packages: Computer ScienceComputer Science (R0)