Results 21 to 30 of about 557,147 (262)
2014 12th International Workshop on Content-Based Multimedia Indexing (CBMI), 2014 In this work, we propose a novel community detection method that is specifically designed for image communities. We define image community as a coherent subgroup of images within a large set of images. In order to detect image communities, we construct an image graph by utilizing visual affinity between each image pair and then prune most of the links.
Esen, Ersin +4 more
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Dynamic Communities and their Detection
Acta Cybernetica, 2011 Overlapping community detection has already become an interesting problem in data mining and also a useful technique in applications. This underlines the importance of following the lifetime of communities in real graphs. Palla et al. developed a promising method, and analyzed community evolution on two large databases [23].
András Bóta +2 more
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Community detection with colored edges [PDF]
2016 IEEE International Symposium on Information Theory (ISIT), 2016 In this paper, we prove a sharp limit on the community detection problem with colored edges. We assume two equal-sized communities and there are $m$ different types of edges. If two vertices are in the same community, the distribution of edges follows $p_i=α_i\log{n}/n$ for $1\leq i \leq m$, otherwise the distribution of edges is $q_i=β_i\log{n}/n$ for
Narae Ryu, Sae-Young Chung
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IEEE Access, 2020 Human activities are usually collective, so clustering has become an important feature of human behavior. This paper studied the evolution of the community in the process of public opinion propagation so as to put forward a public opinion evolution model
Wenzheng Li +4 more
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Estimating Mixed Memberships in Directed Networks by Spectral Clustering
Entropy, 2023 Community detection is an important and powerful way to understand the latent structure of complex networks in social network analysis. This paper considers the problem of estimating community memberships of nodes in a directed network, where a node may ...
Huan Qing
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Community Detection for Correlation Matrices [PDF]
Physical Review X, 2015 Final version, accepted for publication on ...
MacMahon, M., Garlaschelli, D.
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Power Grid Partitioning Based on Functional Community Structure
IEEE Access, 2019 Network partitioning is a popular research topic. Not all available partitioning methods are equally suitable for power grids. Community detection is a critical issue in complex network theory, and power grid is a typical type of complex network.
Chuanzhi Zhao +5 more
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A linear time series analysis of carbon price via a complex network approach
Frontiers in Physics, 2022 Identifying the essential characteristics and forecasting carbon prices is significant in promoting green transformation. This study transforms the time series into networks based on China’s pilots by using the visibility graph, mining more information ...
Yuxia Hu +3 more
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A Relationships-based Algorithm for Detecting the Communities in Social Networks [PDF]
International Journal of Web Research, 2022 Social network research analyzes the relationships between interactions, people, organizations, and entities. With the developing reputation of social media, community detection is drawing the attention of researchers.
Sevda Fotovvat +2 more
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Simulating Subject Communities in Case Law Citation Networks
Frontiers in Physics, 2021 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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