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IbLT: An effective granular computing framework for hierarchical community detection
Map** the vertices of network onto a tree helps to reveal the hierarchical community structures. The leading tree is a granular computing (GrC)...
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Determining maximum cliques for community detection in weighted sparse networks
In this article, we have delved into detecting dense regions of weighted sparse networks through identification of cliques and communities. A novel...
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Evaluating the role of community detection in improving influence maximization heuristics
Both community detection and influence maximization are well-researched fields of network science. Here, we investigate how several popular community...
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Embedding temporal networks inductively via mining neighborhood and community influences
Network embedding aims to generate an embedding for each node in a network, which facilitates downstream machine learning tasks such as node...
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Seeking for a Framework to Advance Fintech-Mediated Digital Financial Inclusion for Brazilian Small Business Companies
This research-in-progress aims to study digital financial inclusion, mediated by fintech, of Brazil’s micro and small business companies. Digital...
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The small world of innovation studies: an “editormetrics” perspective
Editors exert a significant influence on a journal’s mission and in governing the strategic direction of entire fields. They act as gatekeepers not...
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MOOCs as a massive learning resource for a Higher Education Community. The Universitat Politècnica de València experience using the EdX remote access program
During the 2020 COVID-19 lockdown, edX launched an initiative, called the Remote Access Program, to give access to free certificates for its Massive...
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Identifying Fraud Rings Using Domain Aware Weighted Community Detection
With the increase in online platforms, the surface area of malicious activities has increased manifold. Bad actors abuse policies and services like...
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Towards AI as a Service for Small and Medium-Sized Enterprises (SME)
AI-as-a-Service (AIaaS) combines Artificial Intelligence (AI) and cloud computing to make AI accessible to enterprises without implementing complex...
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State-of-the-Art in Community Detection in Temporal Networks
Community detection is a prominent process on networks and has been extensively studied on static networks the last 25 years. This problem concerns...
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The linguocultural phenomenon of internet resources: the effectiveness of using podcasting in the russian language learning
The purpose of the research is to study the effectiveness of the methodological approach based on the use of podcasts in the study of Russian as a...
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Hyperparameter importance and optimization of quantum neural networks across small datasets
As restricted quantum computers become available, research focuses on finding meaningful applications. For example, in quantum machine learning, a...
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Urban Regeneration Strategies for Implementing the Circular City Model: The Key Role of the Community Engagement
In an increasingly urbanized world such as the one we are living in today, the future of humanity is closely linked to cities, as also highlighted by...
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DPNLP: distance based peripheral nodes label propagation algorithm for community detection in social networks
Label propagation-based methods are the most popular methods for community detection, which have a linear time complexity, thanks to the use of local...
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Strategic Approach to Food System Resiliency from Community-Based Initiatives During the Covid-19 Pandemic
Although the Covid-19 pandemic triggered a significant public health challenge to humanity, measures like lockdowns let to cascading effects that...
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K-12 students’ online learning motivation in China: An integrated model based on community of inquiry and technology acceptance theory
Learning motivation is crucial to online learning success, especially for K-12 students. Although previous research has proved that there are many...
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Statistical analysis of the community lockdown for COVID-19 pandemic
As the global pandemic of the COVID-19 continues, the statistical modeling and analysis of the spreading process of COVID-19 have attracted...
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A Node Influence Based Memetic Algorithm for Community Detection in Complex Networks
Community structure is a significant property when analyzing the features and functions of complex systems. Heuristic algorithm-based community...
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Exploring the Evolutionary Dynamics of Wikipedia: The Interplay of Knowledge Community Formation and Editorial Behavior
Understanding the development patterns of large-scale knowledge networks is of significant importance for knowledge integration. Wikipedia, as one of...
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Musical preference in an online music community in China
Online music communities reflect and influence people’s music tastes, providing a detailed digital record of individuals’ behavior. There have been...
