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Springer Science and Business Media LLC
Reference140 articles.
1. Agarwal, Swati (2017). Open source social media intelligence for enabling government applications: extended abstract. ACM SIGWEB Newsletter, no. Summer, July 2017, pp. 1–19.
2. Agarwal, Swati; and Ashish Sureka (2015). Applying social media intelligence for predicting and identifying on-line radicalization and civil unrest oriented threats. arXiv preprint arXiv:1511.06858, 2015.
3. Agarwal, Swati; and Ashish Sureka (2016). Investigating the Potential of Aggregated Tweets as Surrogate Data for Forecasting Civil Protests. In CODS ‘16. Proceedings of the 3rd IKDD Conference on Data Science, 2016. Pune, India, 13-16 March 2016. New York: ACM Press, pp. 1–6.
4. Agarwal, Swati; Ashish Sureka; and Vikram Goyal (2015). Open source social media analytics for intelligence and security informatics applications. In BDA-2015: 4th International Conference on Big Data Analytics. Hyderabad, India, 15-18 December 2015. Springer, pp. 21–37.
5. Ahmed, Nafeez (2018). Pentagon Wants to Predict Anti-Trump Protests Using Social Media Surveillance. Vice. https://www.vice.com/en_us/article/7x3g4x/pentagon-wants-to-predict-anti-trump-protests-using-social-media-surveillance. Accessed 15 May 2020
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