Our paper in Journal of Annals of the New York Academy of Sciences (Impact Factor = 4.728), reviews and deep-dives into the studies, factors, and models that are especially important in assembling and managing human-AI decision-making in a group setting:
https://t.co/eHzIPnYvT9
@omid_ask et al. study 23 years of event data for international appraisals and find that the evolution of the corresponding network is consistent with structural balance theory, with triadic interactions evolving towards balanced relationships https://t.co/PXoIz5gntS
We also pinpoint major international conflicts. We also buttress the above findings with an analysis of two Bitcoin trust network datasets. All data and analyses are publicly available.
https://t.co/EiNu0qC8YP
Here, we study 23+ years of event data for international appraisals, and using a convex optimization scheme and using time-varying Markov models, we find that the evolution of the corresponding network is consistent with structural balance theory.
https://t.co/EiNu0qC8YP
Studying the evolution of the network of amicable and hostile relations between countries allows powerful insights into global events such as the origin of wars, economic collapses, and the result of political elections.
https://t.co/EiNu0qC8YP
Our paper with the title of "The 1995-2018 global evolution of the network of amicable and hostile relations among nation-states" just appeared in the journal of Communications Physics:
https://t.co/EiNu0qC8YP
Our paper with the title "The 1995-2018 Global Evolution of the Network of Amicable and Hostile Relations Among Nation-States" can be found on Arxiv:
https://t.co/fZTHtRUD4u