Results 21 to 30 of about 8,185,565 (250)
Simulating Subject Communities in Case Law Citation Networks
We propose and evaluate generative models for case law citation networks that account for legal authority, subject relevance, and time decay. Since Common Law systems rely heavily on citations to precedent, case law citation networks present a special ...
Jerrold Soh Tsin Howe
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Large Scale Community Detection Using a Small World Model
In a social network, small or large communities within the network play a major role in deciding the functionalities of the network. Despite of diverse definitions, communities in the network may be defined as the group of nodes that are more densely ...
Ranjan Kumar Behera +4 more
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To address the problem that traditional spectral clustering algorithms cannot obtain the complete structural information of networks, this paper proposes a spectral clustering community detection algorithm, PMIK-SC, based on the point-wise mutual ...
Yinan Chen, Wenbin Ye, Dong Li
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Community informatics and sustainability: Why social capital matters [PDF]
This paper adopts a holistic approach to explain why social capital matters for effective implementation, widespread uptake, greater social inclusion, and the sustainability of CI initiatives.
Lyn Simpson +3 more
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Network Community Detection on Metric Space
Community detection in a complex network is an important problem of much interest in recent years. In general, a community detection algorithm chooses an objective function and captures the communities of the network by optimizing the objective function,
Suman Saha, Satya P. Ghrera
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Real-Time Community Detection in Full Social Networks on a Laptop
The project analysed the performance of community detection algorithms on the Twitter social network operating on a graph compressed using minhash signatures.
Chamberlain, B.P. (Imperial College London), Researcher +1 more
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Post-Processing Partitions to Identify Domains of Modularity Optimization
We introduce the Convex Hull of Admissible Modularity Partitions (CHAMP) algorithm to prune and prioritize different network community structures identified across multiple runs of possibly various computational heuristics.
William H. Weir +4 more
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The rapid dissemination of misinformation on social networks, particularly during public health crises like the COVID-19 pandemic, has become a significant concern.
Zafer Duzen +2 more
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Learner2Vec-Based Learner Community Evolution Analysis–A Case Study Involving Student Card Data
The learner community evolution analysis is an important technique in the area of social network analysis and education management. Accurately expressing the complex characteristics of individual social behavior is the core problem associated with ...
Chao Li +4 more
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CoDiS: Community Detection via Distributed Seed Set Expansion on Graph Streams
Community detection has been (and remains) a very important topic in several fields. From marketing and social networking to biological studies, community detection plays a key role in advancing research in many different fields.
Austin Anderson +2 more
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