Erum Iqra, Malick Rauf Ahmed Shams, Ahmed Ghufran, Cherifi Hocine
School of Computing, National University of Computer and Emerging Sciences (NUCES), Karachi 75270, Pakistan.
Laboratoire Electronique, Informatique et Image (Le2i) UMR 6306 CNRS, Université de Bourgogne, 21078 Dijon, France.
Entropy (Basel). 2022 Jul 23;24(8):1017. doi: 10.3390/e24081017.
News reports in media contain news about society's social and political conditions. With the help of publicly available digital datasets of events, it is possible to study a complex network of mass violations, i.e., Mass Killings. Multiple approaches have been applied to bring essential insights into the events and involved actors. Power law distribution behavior finds in the tail of actor mention, co-actor mention, and actor degree tells us about the dominant behavior of influential actors that grows their network with time. The United States, France, Israel, and a few other countries have been identified as major players in the propagation of Mass Killing throughout the past 20 years. It is demonstrated that targeting the removal of influential actors may stop the spreading of such conflicting events and help policymakers and organizations. This paper aims to identify and formulate the conflicts with the actor's perspective at a global level for a period of time. This process is a generalization to be applied to any level of news, i.e., it is not restricted to only the global level.
媒体中的新闻报道包含有关社会的社会和政治状况的新闻。借助公开可用的事件数字数据集，有可能研究大规模暴力行为的复杂网络，即大屠杀。已经应用了多种方法来深入了解这些事件及相关行为者。幂律分布行为在行为者提及、共同行为者提及的尾部以及行为者度数中被发现，这告诉我们有影响力的行为者随着时间推移扩大其网络的主导行为。美国、法国、以色列和其他一些国家已被确定为过去20年中大屠杀传播的主要参与者。研究表明，针对有影响力的行为者采取措施可能会阻止此类冲突事件的传播，并有助于政策制定者和组织。本文旨在从行为者的角度在一段时间内确定并阐述全球层面的冲突。这一过程具有普遍性，可应用于任何层面的新闻，即不限于全球层面。
