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Sustainability, 2023 The ubiquity of social and online media networks, the credulousness of online communities, coupled with limited accountability pose a risk of mis-, dis-, mal-, information (mis-dis-mal-information)—the intentional or unintentional spread of false ...
Ataharul Chowdhury +3 more
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Novel Approaches to Detect Phony Profile on Online Social Networks (OSNs) Using Machine Learning
International Journal of Scientific Research in Computer Science Engineering and Information Technology, 2023 Currently, almost everyone spends more time on online social media platforms engaging with and exchanging information with people from all over the world, from children to adults.
Ms Farah Shan +4 more
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Embedding-based Method for the Supervised Link Prediction in Social Networks
International Journal on Recent and Innovation Trends in Computing and Communication, 2023 In recent years, social network analysis has received a lot of interest. Link prediction is an important area of research in this field that uses information from current networks to predict the likely links that will emerge in the future.
Mohamed Badiy, Fatima Amounas
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International Journal of Advanced Computer Science and Applications, 2023 —In recent decades, social networks have been considered as one of the most important topics in computer science and social science. Identifying different communities and groups in these networks is very important because this information can be useful ...
Zhihong He, Tao Liu
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Information Diffusion in Computer Science Citation Networks [PDF]
International Conference on Web and Social Media, 2009 The paper citation network is a traditional social medium for the exchange of ideas and knowledge. In this paper we examine information diffusion in citation networks by analyzing the correlations between various citation choices and the subsequent ...
Xiaolin Shi +2 more
semanticscholar +1 more source
On the Information Unfairness of Social Networks
SDM, 2020 Social networks play a vital role in the spread of information through a population, and individuals in networks make important life decisions on the basis of the information to which they have access.
Zeinab S. Jalali +4 more
semanticscholar +1 more source
Learning Analytics to identify dropout factors of Computer Science studies through Bayesian networks
Behavior and Information Technology, 2018 Student dropout in Engineering Education is an important problem which has been studied from different perspectives, as well as using different techniques. This manuscript describes the methodology used in order to address this question in the context of
C. Lacave, A. Molina, J. A. Cruz-Lemus
semanticscholar +1 more source
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022 The rapid growth in popularity of online social networks provides new opportunities in computer science, sociology, math, information studies, biology, business, and more.
S. Singh +5 more
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Journal of Modern Medical Information Sciences, 2020 Aim: Electronic health enables patients share their own medical information and this sharing poses security risks. The purpose of this research is to review, and compare algorithms and methods for solving patient information security, from different ...
Mahin Mohammadi +2 more
semanticscholar +1 more source
Information Bottleneck in Control Tasks with Recurrent Spiking Neural Networks [PDF]
ICANN 2017. Lecture Notes in Computer Science, vol 10613.
Springer, Cham, 2017 The nervous system encodes continuous information from the environment in the form of discrete spikes, and then decodes these to produce smooth motor actions. Understanding how spikes integrate, represent, and process information to produce behavior is one of the greatest challenges in neuroscience.
arxiv +1 more source