Results 61 to 70 of about 9,790,052 (309)
CoDiS: Community Detection via Distributed Seed Set Expansion on Graph Streams
Information, 2023 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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Sociolect-based community detection [PDF]
2013 IEEE International Conference on Intelligence and Security Informatics, 2013 'Sociolects' are specialized vocabularies used by social subgroups defined by common interests or origins. We applied methods to retrieve large quantities of Twitter data based on expert-identified sociolects and then applied and developed network-analysis methods to relate sociolect use to network (sub-) structure. We show that novel methods including
William N. Reynolds +7 more
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Network-based prediction of anti-cancer drug combinations
Frontiers in PharmacologyDrug combinations have emerged as a promising therapeutic approach in cancer treatment, aimed at overcoming drug resistance and improving the efficacy of monotherapy regimens.
Jue Jiang +4 more
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IEEE Access, 2018 The current methods of assessment of surgical performance for robot-assisted surgery are subjective. In this paper, we propose a cognitive-based method for objective evaluation of performance. Changes in brain functional networks were extracted and their
Somayeh B. Shafiei +2 more
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Uncovering the Online Social Structure Surrounding COVID-19
Journal of Social Computing, 2021 How do people talk about COVID-19 online? To address this question, we offer an unsupervised framework that allows us to examine Twitter framings of the pandemic.
Philip D. Waggoner +3 more
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Statistical mechanics of community detection [PDF]
Physical Review E, 2006 Starting from a general \textit{ansatz}, we show how community detection can be interpreted as finding the ground state of an infinite range spin glass. Our approach applies to weighted and directed networks alike. It contains the \textit{at hoc} introduced quality function from \cite{ReichardtPRL} and the modularity $Q$ as defined by Newman and Girvan
Reichardt, Joerg, Bornholdt, Stefan
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Community Detection using a New Node Scoring and Synchronous Label Updating of Boundary Nodes in Social Networks [PDF]
Journal of Artificial Intelligence and Data Mining, 2020 Community structure is vital to discover the important structures and potential property of complex networks. In recent years, the increasing quality of local community detection approaches has become a hot spot in the study of complex network due to the
M. Zarezade, E. Nourani, Asgarali Bouyer
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Channel Detection in Coded Communication [PDF]
IEEE Transactions on Information Theory, 2017 We consider the problem of block-coded communication, where in each block, the channel law belongs to one of two disjoint sets. The decoder is aimed to decode only messages that have undergone a channel from one of the sets, and thus has to detect the set which contains the prevailing channel. We begin with the simplified case where each of the sets is
Nir Weinberger, Neri Merhav
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A Filtered Gradient Descent Clustering Method to Recover Communities in Attributed Networks
IEEE AccessAn attributed network is a network in which in addition to the network structure each node is associated with a set of attributes. Community detection in such networks involves recovering the clusters by simultaneously using the network data and the node
Soroosh Shalileh
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IEEE Access, 2019 Community structures are integral and independent parts in a network. Community detection plays an important role in social networks for understanding the structure and predicting user behaviors.
Xiaohui Pan +3 more
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