Results 11 to 20 of about 8,412 (238)
Probabilistic network sparsification with ego betweenness [PDF]
Applied Network Science, 2021 Sparsification is the process of decreasing the number of edges in a network while one or more topological properties are preserved. For probabilistic networks, sparsification has only been studied to preserve the expected degree of the nodes.
Amin Kaveh +2 more
doaj +3 more sources
Estimating Contextual Effects from Ego Network Data. [PDF]
Sociol Methodol, 2020 Network concepts are often used to characterize the features of a social context. For example, past work has asked if individuals in more socially cohesive neighborhoods have better mental health outcomes. Despite the ubiquity of use, it is relatively rare for contextual studies to use the methods of network analysis.
Smith JA, Gauthier GR.
europepmc +4 more sources
Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks [PDF]
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021 Graph neural networks (GNNs) have achieved remarkable success as a framework for deep learning on graph-structured data. However, GNNs are fundamentally limited by their tree-structured inductive bias: the WL-subtree kernel formulation bounds the representational capacity of GNNs, and polynomial-time GNNs are provably incapable of recognizing triangles
Sandfelder, Dylan +2 more
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Social Networks, 2005 In this paper, we look at the betweenness centrality of ego in an ego network. We discuss the issue of normalization and develop an efficient and simple algorithm for calculating the betweenness score. We then examine the relationship between the ego betweenness and the betweenness of the actor in the whole network.
Everett, Martin, Borgatti, Stephen P.
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Information, 2020 People publish tweets on Twitter to share everything from global news to their daily life. Abundant user-generated content makes Twitter become one of the major channels for people to obtain information about real-world events. Event detection techniques
Tao Tang, Guangmin Hu
doaj +1 more source
Identifying the Directions of Technology-Driven Government Innovation
Information, 2022 The world is now strengthening its Information and Communication Technology (ICT) capabilities to secure economic growth and national competitiveness. The role of ICT is important for problems like COVID-19.
Hyundong Nam, Songeun Kim, Taewoo Nam
doaj +1 more source
Discovering social circles in ego networks [PDF]
ACM Transactions on Knowledge Discovery from Data, 2014 People's personal social networks are big and cluttered, and currently there is no good way to automatically organize them. Social networking sites allow users to manually categorize their friends into social circles (e.g., “circles” on Google+, and “lists” on Facebook and Twitter).
McAuley, Julian, Leskovec, Jure
openaire +2 more sources
IPIM: An Effective Contribution-Driven Information Propagation Incentive Mechanism
IEEE Access, 2019 The wide diffusion of information in social networks can be exploited to solve searching-for-a-target (SFT) problems including those of missing individuals.
Fei Chang +6 more
doaj +1 more source
International Journal of Communication, 2022 This study examines the implications of ego-network difference, understood as the presence of (perceived) political disagreement between a person and people in his or her social network, on affective polarization in the context of a contentious protest ...
Francis L. F. Lee
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The relationship between ego depletion and work alienation in Chinese nurses: A network analysis
Frontiers in Psychology, 2022 ObjectivesTo investigate the network structure of ego depletion and work alienation in Chinese nurses and identify bridge items to provide suggestions to reduce ego depletion and work alienation.MethodsA total of 353 nurses from three hospitals were ...
Yi Cui +6 more
doaj +1 more source