Quantitative function for community detection
WebCommunity detection in complex networks is a topic of high interest in many scientific fields. ... Several quantitative functions have been developed for evaluating the quality of … WebJan 5, 2015 · DOI: 10.1103/PHYSREVE.91.019901 Corpus ID: 124557012; Erratum: Quantitative function for community detection [Phys. Rev. E 77, 036109 (2008)] @article{Li2015ErratumQF, title={Erratum: Quantitative function for community detection [Phys. Rev. E 77, 036109 (2008)]}, author={Zhen-Ping Li and Shihua Zhang and Rui-Sheng …
Quantitative function for community detection
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WebDetecting and characterizing the community structure of complex network is fundamental. We compare the classical optimization indexes of modularity and modularity density, … WebJan 2, 2015 · Based on the new quantitative function, the bipartite network community detection problem is formulated into an integer programming model. Bipartite networks can be partitioned into reasonable overlapping communities by maximizing the quantitative function. We further develop a heuristic and adapted label propagation algorithm (BiLPA) …
WebNov 1, 2016 · In summary, optimization of partition density D can detect communities of any size and often achieve correct partitions, whereas Barber’s bipartite modularity Q cannot. … WebJan 1, 2011 · We propose a novel quantitative function of communicability that is applied to evaluate the strength of community structure. In addition, we theoretically analyze the properties of the function that are boundedness, differentiability, monotonicity and so on, and show it improve the resolution limit in community detection.
WebAug 1, 2024 · In social network analysis, community detection is a basic step to understand the structure and function of networks. Some conventional community detection methods may have limited performance because they merely focus on the networks’ topological structure. Besides topology, content information is another significant aspect of social … WebJan 1, 2012 · To detect community structure precisely, the new quantitative function of communicability C is applied to evaluate the strength of community structure. The genetic …
WebSep 14, 2014 · A quantitative function for community detection called modularity density has been proposed by Li, Zhang, Wang, Zhang, and Chen in $[$Phys. Rev. E 77, 036109 …
WebJan 5, 2015 · Community detection is one of the fundamental tasks in graph mining, which has many real-world applications in diverse domains. In this study, we propose an … shark \u0026 ray centreWebQuantitative sensory testing (QST) investigates the submodalities of the somatosensory system, such as temperature, touch, vibration, and pain. It provides information on the state of peripheral sensory nerves, as well as pain perception and central sensitization. The method allows for the evaluation of the functional status of the small (Aδ ... shark\u0027s fin and sichuan pepper epubWebJan 20, 2024 · Moreover, Li et al. proposed a quantitative function for evaluating partition density in bipartite networks and designed a heuristic algorithm called BiLPA. LPA is also used to optimize quantitative functions other than Barber’s modularity [2, 15]. However, none of them aims at detecting the many-to-many correspondence communities. shark \u0026 remora relationshipWebJan 2, 2015 · While community detection in unipartite networks has been extensively studied in the past decade, identification of modules or communities in bipartite networks is still in its early stage. Several quantitative functions proposed for evaluating the quality of bipartite network divisions are based on null models and have distinct resolution limits. shark\u0027s fin climbWebConclusion. This study is the first to investigate mechanical sensory function in CH patients throughout the entire craniofacial region: in the three divisions of the trigeminal nerve (V1, V2, and V3), neck (superficial cervical plexus), and ear (trigeminal and facial nerves), including a control region (hand). population of armstrong iowaWebCommunity detection in complex networks is a topic of high interest in many scientific fields. ... Several quantitative functions have been developed for evaluating the quality of bipartite network divisions, however, these functions were designed based on null model comparisons and thus are subject to certain resolution limits. population of aroonaWebApr 14, 2024 · This study aims to investigate the near-infrared spectral properties of Rose Oxide (4-Methyl-2-(2-methyl-1-propenyl) tetrahydropyran) in wine, establish a quantitative … population of arnegard nd