A conceptual framework for social movements analytics for national security

Cárdenas, Pedro; Theodoropoulos, Georgios; Obara, Boguslaw; Kureshi, Ibad

Abstract

Social media tools have changed our world due to the way they convey information between individuals; this has led to many social movements either starting on social media or being organised and managed through this medium. At times however, certain human-induced events can trigger Human Security Threats such as Personal Security, Health Security, Economic Security or Political Security. The aim of this paper is to propose a holistic Data Analysis Framework for examining Social Movements and detecting pernicious threats to National Security interests. As a result of this, the proposed framework focuses on three main stages of an event (Detonating Event, Warning Period and Crisis Interpretation) to provide timely additional insights, enabling policy makers, first responders, and authorities to determine the best course of action. The paper also outlines the possible computational techniques utilised to achieve in depth analysis at each stage. The robustness and effectiveness of the framework are demonstrated by dissecting Warning Period scenarios, from real-world events, where the increase of Human Security aspects were key to identifying likely threats to National Security.

Citation

Cárdenas, P., Theodoropoulos, G., Obara, B., & Kureshi, I. (2018, June). A conceptual framework for social movements analytics for national security. Presented at International Conference on Computational Science, Wuxi, China

• Presentation Conference Type: Conference Paper (published)
• Conference Name: International Conference on Computational Science
• Start Date: Jun 11, 2018
• End Date: Jun 13, 2018
• Acceptance Date: Mar 21, 2018
• Online Publication Date: Jun 12, 2018
• Publication Date: Jun 12, 2018
• Deposit Date: Apr 15, 2018
• Publicly Available Date: Apr 16, 2018
• Print ISSN: 0302-9743
• Pages: 302-315
• Series Title: Lecture notes in computer science
• Series Number: 10860
• Series ISSN: 0302-9743,1611-3349
• Book Title: Computational Science – ICCS 2018 : 18th International Conference, Wuxi, China, June 11–13, 2018, Proceedings, Part I.
• ISBN: 9783319936970
• DOI: https://doi.org/10.1007/978-3-319-93698-7_23
• Public URL: https://durham-repository.worktribe.com/output/1144934