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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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A Note on Ising Network Analysis with Missing Data
The Ising model has become a popular psychometric model for analyzing item response data. The statistical inference of the Ising model is typically...
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New Paradigm of Identifiable General-response Cognitive Diagnostic Models: Beyond Categorical Data
Cognitive diagnostic models (CDMs) are a popular family of discrete latent variable models that model students’ mastery or deficiency of multiple...
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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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Scalable Bayesian p-generalized probit and logistic regression
The logit and probit link functions are arguably the two most common choices for binary regression models. Many studies have extended the choice of...
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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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Adventitious Error and Its Implications for Testing Relations Between Variables and for Composite Measurement Outcomes
Wu and Browne (Psychometrika 80(3):571–600, 2015. https://doi.org/10.1007/s11336-015-9451-3 ; henceforth W &B) introduced the notion of adventitious...
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Forecasting multidimensional autoregressive time series model with symmetric \(\alpha\)-stable noise using artificial neural networks
Artificial neural networks have been widely studied and applied in time series forecasting. However, the existing studies focus more on the...
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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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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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Unveiling the dynamics and impact of emotional presence in collaborative learning
This study aims to understand the dynamics and impact of emotional presence in a collaborative learning environment and its effects on the learning...
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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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Influences of internet access on civic knowledge measurement in Taiwan
Internet-related issues have influenced how civic knowledge is educated and measured. The International Civic and Citizenship Education Study (ICCS)...
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Dynamic factor models for claim reserving
This study presents a new approach to claim reserving in the insurance industry using dynamic factor models (DFMs). Traditional methods often...
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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...
