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How clustering affects the convergence of decentralized optimization over networks: a Monte-Carlo-based approach
Decentralized algorithms have gained substantial interest owing to advancements in cloud computing, Internet of Things (IoT), intelligent...
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The Multi-attribute impact of hyperlinks in blogs: an emotion-centric approach
As a digital social medium, blogs have transformed into arenas where individuals can express their perspectives, concepts, and feelings. This...
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Decoding the black box: LIME-assisted understanding of Convolutional Neural Network (CNN) in classification of social media tweets
The rise of social media has brought both opportunities and challenges to the digital age, including the proliferation of online trolls that have...
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Principal components-based quantification of hierarchical k-core assortativity
Hierarchical networks typically get rated to be not assortative on the basis of the degrees of the end vertices of the edges. However, degree...
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Submarine Cables and the Risks to Digital Sovereignty
The international network of submarine cables plays a crucial role in facilitating global telecommunications connectivity, carrying over 99% of all...
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Experts or Authorities? The Strange Case of the Presumed Epistemic Superiority of Artificial Intelligence Systems
The high predictive accuracy of contemporary machine learning-based AI systems has led some scholars to argue that, in certain cases, we should grant...
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The “Non-Musk” effect at X (Twitter)
Elon Musk, a notable entrepreneur, often influences Wall Street with his controversial social media presence. Drawing on Social Identity and Social...
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Measure for Measure: Operationalising Cognitive Realism
This paper develops a measure of realism from within the framework of cognitive structural realism (CSR). It argues that in the context of CSR,...
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Semantic proximity assessment in Bhojpuri and Maithili: a word embedding perspective
Natural Language Processing has been extensively researched for languages with abundant resources like English and Spanish, but low-resource...
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Mmds: multimodal benchmark dataset for suspicious profile detection on twitter social network
In the era of widespread social media usage, detecting and mitigating suspicious profiles is essential for maintaining social platform integrity....
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Personalization of OLAP queries for hierarchical visualization under constraints
Decision-makers, whether at the corporate or enterprise level, do not have the same vision of all decision-making data since their needs vary greatly...
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Unfairness in AI Anti-Corruption Tools: Main Drivers and Consequences
This article discusses the potential sources and consequences of unfairness in artificial intelligence (AI) predictive tools used for anti-corruption...
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Evaluating collective action theory-based model to simulate mobs
A mob is an event that is organized via social media, email, SMS, or other forms of digital communication technologies in which a group of people...
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On a pyramid structure in social networks
This study introduces a hierarchical pyramid structure as a novel framework for social network analysis, differing fundamentally from traditional...
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A targeted vaccination strategy based on dynamic community detection for epidemic networks
Vaccination is a vital strategy to prevent and control the spread of infectious diseases. In this paper, we propose a vaccination strategy that...
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ProxMetrics: modular proxemic similarity toolkit to generate domain-adaptable indicators from social media
In this paper, we introduce ProxMetrics , a novel toolkit designed to evaluate similarity among social media entities through proxemic dimensions....
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Twit-CoFiD: a hybrid recommender system based on tweet sentiment analysis
Internet users are overwhelmed by the vast number of services and products to choose from. This data deluge has led to the need for recommender...
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Cores in multiway networks
The notion of a core is generalized to multiway networks. To determine the multiway cores, we adapted already-known algorithms for determining the...
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Reliability and Interpretability in Science and Deep Learning
In recent years, the question of the reliability of Machine Learning (ML) methods has acquired significant importance, and the analysis of the...
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One-way ticket to the moon? An NLP-based insight on the phenomenon of small-scale neo-broker trading
We present an Natural Language Processing based analysis on the phenomenon of “Meme Stocks”, which has emerged as a result of the proliferation of...
