Results 41 to 50 of about 1,651,191 (277)
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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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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Fast Detection of Community Structures using Graph Traversal in Social Networks
, 2018 Finding community structures in social networks is considered to be a challenging task as many of the proposed algorithms are computationally expensive and does not scale well for large graphs.
Basuchowdhuri, Partha +5 more
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Super-resolution community detection for layer-aggregated multilayer networks [PDF]
, 2017 Applied network science often involves preprocessing network data before applying a network-analysis method, and there is typically a theoretical disconnect between these steps.
Caceres, Rajmonda S. +2 more
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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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Community core detection in transportation networks [PDF]
, 2013 This work analyses methods for the identification and the stability under perturbation of a territorial community structure with specific reference to transportation networks. We considered networks of commuters for a city and an insular region.
Cerina, Federica +5 more
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Nearest Neighbor Search in the Metric Space of a Complex Network for Community Detection
Information, 2016 The objective of this article is to bridge the gap between two important research directions: (1) nearest neighbor search, which is a fundamental computational tool for large data analysis; and (2) complex network analysis, which deals with large real ...
Suman Saha, Satya P. Ghrera
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