Results 41 to 50 of about 557,147 (262)
Metrics Matter in Community Detection [PDF]
, 2019 We present a critical evaluation of normalized mutual information (NMI) as an evaluation metric for community detection. NMI exaggerates the leximin method's performance on weak communities: Does leximin, in finding the trivial singletons clustering, truly outperform eight other community detection methods?
Arya D. McCarthy +3 more
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Co-Community Network Analysis Reveals Alterations in Brain Networks in Alzheimer’s Disease
Brain SciencesBackground: Alzheimer’s disease (AD) is a common neurodegenerative disease. Functional magnetic resonance imaging (fMRI) can be used to measure the temporal correlation of blood-oxygen-level-dependent (BOLD) signals in the brain to assess the brain’s ...
Xiaodong Wang +3 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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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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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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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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Local method for detecting communities [PDF]
Physical Review E, 2005 Submitted to Phys.
Bagrow, Jim, Bollt, Erik
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