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Bibao Yao, Junfang Zhu, Peijie Ma, Kun Gao and Xuezao Ren
Community detection is a significant and challenging task in network research. Nowadays, many community detection methods have been developed. Among them, the classical Louvain algorithm is an excellent method aiming at optimizing an objective function. ...
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Atefeh Torkaman, Kambiz Badie, Afshin Salajegheh, Mohammad Hadi Bokaei and Seyed Farshad Fatemi Ardestani
Over the years, detecting stable communities in a complex network has been a major challenge in network science. The global and local structures help to detect communities from different perspectives. However, previous methods based on them suffer from h...
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Rocco A. Scollo, Antonio G. Spampinato, Georgia Fargetta, Vincenzo Cutello and Mario Pavone
Disease phenotypes are generally caused by the failure of gene modules which often have similar biological roles. Through the study of biological networks, it is possible to identify the intrinsic structure of molecular interactions in order to identify ...
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Ping Wang, Xingdong Deng, Yang Liu, Liang Guo, Jun Zhu, Lin Fu, Yakun Xie, Weilian Li and Jianbo Lai
Landslide monitoring plays an important role in predicting, forecasting and preventing landslides. Quantitative explorations at the subject level and fine-scale knowledge in landslide monitoring research can be used to provide information and references ...
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Woojin Song and Jaesung Park
In this paper, we propose a channel assignment method that can mitigate the inter-WBAN interference when the density of WBANs is high. To achieve the goal, we group the coexisting WBANs into a set of clusters by using the Louvain algorithm and allocate d...
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Heping Jiang, Shijia Luo, Jiahui Qin, Ruihua Liu, Disheng Yi, Yusi Liu and Jing Zhang
The rapid development of the economy promotes the increasing of interactions between cities and forms complex networks. Many scholars have explored the structural characteristics of urban spatial interaction networks in China and have conducted spatio-te...
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Péter Marjai, Bence Szabari and Attila Kiss
Graphs can be found in almost every part of modern life: social networks, road networks, biology, and so on. Finding the most important node is a vital issue. Up to this date, numerous centrality measures were proposed to address this problem; however, e...
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Yan Zhang, Xiang Zheng, Min Chen, Yingbing Li, Yingxue Yan and Peiying Wang
The urban structure is the spatial reflection of various economic and cultural factors acting on the urban territory. Different from the physical structure, urban structure is closely related to the population mobility. Taxi trajectories are widely distr...
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Christos Makris, Georgios Pispirigos and Michael Angelos Simos
Text annotation is the process of identifying the sense of a textual segment within a given context to a corresponding entity on a concept ontology. As the bag of words paradigm?s limitations become increasingly discernible in modern applications, severa...
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Christos Makris, Georgios Pispirigos and Ioannis Orestis Rizos
Presently, due to the extended availability of gigantic information networks and the beneficial application of graph analysis in various scientific fields, the necessity for efficient and highly scalable community detection algorithms has never been more...
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