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Sense of community and peer feedback in a blended University Course
The Sense of Community, as an important construct that supports students’ participation and deep learning, has two dimensions: Social Community and...
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Isolate Sets Based Parallel Louvain Method for Community Detection
Community detection is a vital task in many fields, such as social networks and financial analysis, to name a few. The Louvain method, the main...
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Exploring community detection methods and their diverse applications in complex networks: a comprehensive review
Network science has made tremendous advances, allowing the modeling of complex real-world systems. Although networks include sophisticated community...
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Analyzing breast cancer comorbidities: a network approach using community detection algorithms
Breast cancer is a prominent global health concern, as the data from the International Agency for Research on Cancer (IARC) shows that breast cancer...
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Influence maximization in community-structured social networks: a centrality-based approach
Influence maximization is a task in social network analysis that involves selecting a group of k individuals, known as the “seed set,” from the...
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Graph Autoencoder with Community Neighborhood Network
Neighborhood information can be extracted from graph data structure. The neighborhood is valuable because similar objects tend to be connected. Graph...
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Optimized fog community framework with advanced genetic algorithm for enhanced performance dynamics
Accretion of performance dynamics of fog computing for IoT applications is still in its early stages. IoT applications are transitioning to fog...
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A comprehensive view of community detection approaches in multilayer social networks
Multilayer social networks are the main representative form for today’s social networks. In fact, the multiplicity of relations, the huge amount of...
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Community detection in social networks by spectral embedding of typed graphs
Although there is considerable disagreement about the details, community detection in social networks requires finding groups of nodes that are...
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A grounded theory of community package maintenance organizations
In many programming language ecosystems, developers rely more and more on external open source dependencies, made available through package managers....
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PCMeans: community detection using local PageRank, clustering, and K-means
With the rise of social networks, the task of community detection in networks has become increasingly difficult in recent years. In this study, we...
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Community Detection in Learning Networks Using R
In the field of social network analysis, understanding interactions and group structures takes a center stage. This chapter focuses on finding such...
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Community-aware graph contrastive learning for collaborative filtering
Recently, graph neural networks have demonstrated superior performance in the field of collaborative filtering (CF). The graph collaborative...
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BVNS for Overlap** Community Detection
Nowadays, social networks are one of the most important sources of information available on the Internet, since new users and relationships between...
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Federated Community Detection in Social Networks
Community detection is an effective approach to unveiling relationships among individuals in social networks. Detecting communities without privacy...
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A robust two-step algorithm for community detection based on node similarity
The rapid development of the internet and social network platforms has given rise to a new field of research, social network analysis. This field of...
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Efficient community-based influence maximization in large-scale social networks
The Influence Maximization problem (IMP) is a fundamental algorithmic challenge that involves selecting a set of k users, known as the seed set, from...
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Towards explainable community finding
The detection of communities of nodes is an important task in understanding the structure of networks. Multiple approaches have been developed to...
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Locating community smells in software development processes using higher-order network centralities
Community smells are negative patterns in software development teams’ interactions that impede their ability to successfully create software....
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Research on Knowledge Sharing Efficiency Evaluation of Open Innovation Community: A Case of **aomi Community
Under the platform economy, more and more enterprises attract users to participate in innovation by means of Open Innovation Communities (OIC) and...