Results 11 to 20 of about 115,078 (121)

Learning Analytics to identify dropout factors of Computer Science studies through Bayesian networks

open access: yesBehavior 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. Cruz-Lemus
semanticscholar   +1 more source

Comparison of patient-centric algorithms for health information security in health social networks and cloud environments

open access: yesJournal 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

Social Network Analysis: A Survey on Measure, Structure, Language Information Analysis, Privacy, and Applications

open access: yesACM 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
semanticscholar   +1 more source

Adaptive social networks promote the wisdom of crowds

open access: yesProceedings of the National Academy of Sciences of the United States of America, 2020
Significance Under what conditions do groups outperform their individual members? This question is of paramount importance and has spurred many studies in management and organizational science, psychology, sociology, complex systems, and computer science.
Abdullah Almaatouq   +5 more
semanticscholar   +1 more source

Looking For The Identity Of Information Science In The Age Of Big Data, Computing Clouds And Social Networks

open access: yes, 2015
In this paper we discuss, under a critical point of view, the current Information Science landscape and some future prospects regarding contemporary information phenomena. We present thoughts about the process of thematic deflation of Information Science, through the analysis of the research objects currently under development in this field.
Barcellos Almeida, Mauricio   +2 more
openaire   +1 more source

Students’ Perceptions of Social Networks Platforms use in Higher Education: A Qualitative Research

open access: yesInternational Journal of Advanced Trends in Computer Science and Engineering, 2020
The use of social networks platforms for interactions, cooperative learning, and knowledge sharing for sharing information to improve students’ educational achievement seems to be one of the more widely examined topics in the Information Systems (IS ...
T. Alhussain
semanticscholar   +1 more source

Stacked Community Prediction: A Distributed Stacking-Based Community Extraction Methodology for Large Scale Social Networks

open access: yesBig Data and Cognitive Computing, 2021
Nowadays, due to the extensive use of information networks in a broad range of fields, e.g., bio-informatics, sociology, digital marketing, computer science, etc., graph theory applications have attracted significant scientific interest.
C. Makris, Georgios Pispirigos
semanticscholar   +1 more source

Modelling computer networks for further security research

open access: yesSecurity and Defence Quarterly, 2021
Computer networks are usually modelled from one aspect, e.g., the physical layer of the network, although this does not allow the researcher to understand all usage of that device.
Zsolt Bederna, Tamás Szádeczky
semanticscholar   +1 more source

Credibility in Online Social Networks: A Survey

open access: yesIEEE Access, 2019
The importance of information credibility in society cannot be underestimated given that it is at the heart of all decision-making. Generally, more information is better; however, knowing the value of this information is essential for the decision-making
Majed Alrubaian   +5 more
semanticscholar   +1 more source

An Analysis of Centrality Measures for Complex and Social Networks [PDF]

open access: yesGlobal Communications Conference, 2016
Measures of complex network analysis, such as vertex centrality, have the potential to unveil existing network patterns and behaviors. They contribute to the understanding of networks and their components by analyzing their structural properties, which ...
F. Grando, Diego Noble, L. Lamb
semanticscholar   +1 more source

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