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Multi-hop analysis method for rich-club phenomenon of influence maximization in social networks
When studying the Influence Maximization (IM) problem in social networks, it is found that the initial seed nodes selected by some heuristic...
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Community detection algorithms for recommendation systems: techniques and metrics
In the early days of social networking, a community was typically viewed as a collection of user pro-files sharing common interests and likes. This...
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A label propagation community discovery algorithm combining seed node influence and neighborhood similarity
To address the problem of poor stability and low accuracy of community division caused by the randomness in the traditional label propagation...
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Network representation learning based on community-aware and adaptive random walk for overlap** community detection
The Network representation learning methods based on random walk aim to learn a low-dimensional embedding vector for each node in a network by...
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ABCD-HN: An Artificial Network Benchmark for Community Detection on Heterogeneous Networks
Community detection is essential for identifying cohesive groups in complex networks. Artificial benchmarks are critical for evaluating community...
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Community-based service ecosystem evolution analysis
Services are flourishing dramatically, and continuously increasing interactions among them are resulting in a new phenomenon called “service...
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Semantic overlap** community detection with embedding multi-dimensional relationships and spatial context
Semantic overlap** community detection is an important research hotspot in social networks. However, most of the existing methods ignore the fusion...
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Fast Community Detection Based on Integration of Non-cooperative and Cooperative Game
A clear game process helps to track community generation and evolution, so non-cooperative and cooperative games are applied to community detection....
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Influential Community Search Over Large Heterogeneous Information Networks
Community search (CS) aims to find a cohesive community that satisfies query conditions in a given information network. Recent studies have...
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Higher-order rich-club phenomenon in collaborative research grant networks
Modern scientific work, including writing papers and submitting research grant proposals, increasingly involves researchers from different...
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A graph convolutional fusion model for community detection in multiplex networks
Community detection is to partition a network into several components, each of which contains densely connected nodes with some structural...
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An autoencoder considering multi-order and structural-role similarity for community detection in attributed networks
A community is composed of closely related nodes. Detecting communities in a network has many practical applications, such as online product...
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Artificial Intelligence of the Community Street Stall Economy Big Data Management System
Community stall economy based on artificial intelligence is a new concept of community economy based on artificial intelligence technology. This is...
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Synwalk: community detection via random walk modelling
Complex systems, abstractly represented as networks, are ubiquitous in everyday life. Analyzing and understanding these systems requires, among...
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A Collaborative Filtering Recommendation Algorithm Based on Community Detection and Graph Neural Network
Recommendation system is an important module of many online systems. As one of the mainstream methods in the current recommendation system, the...
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I-YOLO: a novel single-stage framework for small object detection
Small object detection is a challenging task in computer vision. We claim that the huge performance gap between the small object detectors and normal...
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An interaction-based method for detecting overlap** community structure in real-world networks
A central theme of network analysis, these days, is the detection of community structure as it offers a coarse-grained view of the network at hand. A...
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Research on Covid-19: a disruptive phenomenon for bibliometrics
The Covid-19 pandemic has been the highest disruptive event in the world recent history. Worldwide academic research on this topic has led to an...
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The adaptive community-response (ACR) method for collecting misinformation on social media
Social media can be a major accelerator of the spread of misinformation, thereby potentially compromising both individual well-being and social...
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Epistemic community formation: a bibliometric study of recurring authors in medical journals
Using a selection of general science journals, general medical journals and specialized medical journals, this paper analyses four indicators of...
