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A comparative study of machine learning and deep learning algorithms for predicting student’s academic performance
Education plays a crucial role in personal development and social change. It provides individuals with the necessary skills to succeed in their...
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Disrupting the Status Quo: Blockchain’s Potential for Overhauling Conventional Academic Systems
This paper explores the transformative potential of blockchain technology in resha** conventional academic systems. By examining the foundational...
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Using Social Network Sentiment Analysis and Genetic Algorithm to Improve the Stock Prediction Accuracy of the Deep Learning-Based Approach
Traditionally, most investment tools used to predict stocks are based on quantitative variables, such as finance and capital flow. With the...
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Construction of online social network data mining model based on blockchain
In order to overcome the problems of low security and accuracy of traditional online social network data mining model, this paper proposes and...
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Rcoco: contrastive collective link prediction across multiplex network in Riemannian space
Link prediction typically studies the probability of future interconnection among nodes with the observation in a single social network. More often...
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Emergence mechanisms of group consensus in social networks
Reaching consensus within larger social network groups has emerged as a pivotal concern in the digital age of connectivity. This article redefines...
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An Approach to Enhance Academic Ranking Prediction with Augmented Social Perception Data
Academic ranking prediction are indicators that have significant influences on the decision-making process of stakeholders of universities. In...
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Analysis of Digital Data on Social Network TikTok During COVID-19
TikTok has been one of the fastest-growing social networks in recent years. It has more than 1 billion active users so far. In that context, this...
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Systematic Review and Analysis of EDM for Predicting the Academic Performance of Students
In education sector, two main tasks are — Analysis of students’ data and predicting their performance as it may leads to their great future. Analyzing...
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Big data-driven english teaching for social media: a neural network-based approach
Big data and intelligence artificial have greatly broadened the channels for people to acquire knowledge. The practical application of artificial...
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Enhancing Security of IoT Data Transmission in Social Network Applications
The development of ad hoc networks leads to enormous growth of information technology industries. With the current growing need for wireless...
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Toward Detecting Rumor Initiator in Online Social Networks Using Ontology-Driven Model
Online social networks (OSNs) have become breeding grounds for negative content like rumor, misinformation, disinformation, etc. A rumor is an...
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Mental Health Analysis in Social Media Posts: A Survey
The surge in internet use to express personal thoughts and beliefs makes it increasingly feasible for the social NLP research community to find and...
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Social robot accessories for tailoring and appropriation of social robots
The design of robots for everyday use should take into account the specific nature of the individual end-user and the possibility of interactions...
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Concept Representation and Trust Relationship Modeling in Fuzzy Social Networks
Social networks (SNs) are changing all aspects of people’s way of life, especially their decision making and behavioral styles. Trust, as an...
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Deep Learning for Mental Health Disorder Via Social Network Analysis
Mental health disorders are becoming very common, and depression and stress have grown into a significant issue in our culture. The majority of the...
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A Fuzzy-Social Network Multi-criteria Group Decision-Making Framework for Selection of Renewable Energy Project: A Case of China
The proper selection of a renewable energy project (REP) is the key to give play to regional resource advantages and optimize the energy consumption...
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Prediction of Student’s Academic Performance Using Learning Analytics
Academic performance is the assessment of knowledge gained by students for a particular period. Therefore, predicting student’s academic performance...
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Supervised machine learning algorithms for predicting student dropout and academic success: a comparative study
Utilizing a dataset sourced from a higher education institution, this study aims to assess the efficacy of diverse machine learning algorithms in...
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Barriers to academic data science research in the new realm of algorithmic behaviour modification by digital platforms
The era of behavioural big data has created new avenues for data science research, with many new contributions stemming from academic researchers....
