Results 11 to 20 of about 7,056 (256)
An ego network analysis of sextortionists [PDF]
Social Network Analysis and Mining, 2020 We consider a particular instance of user interactions in the Bitcoin network, that of interactions among wallet addresses belonging to scammers. Aggregation of multiple inputs and change addresses are common heuristics used to establish relationships among addresses and analyze transaction amounts in the Bitcoin network.
Frédérique E. Oggier +2 more
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Beyond Weisfeiler–Lehman with Local Ego-Network Encodings
Machine Learning and Knowledge Extraction, 2023 Identifying similar network structures is key to capturing graph isomorphisms and learning representations that exploit structural information encoded in graph data. This work shows that ego networks can produce a structural encoding scheme for arbitrary
Nurudin Alvarez-Gonzalez +2 more
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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
Dylan Sandfelder +2 more
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Ask, 2021 The present article analyses data on ego-centred networks from a nationally representative sample of Polish citizens (egos) and their regular conversation partners (alters).
Adam Kęska +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.
Martin G. Everett, Stephen P. Borgatti
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Probabilistic network sparsification with ego betweenness [PDF]
Applied Network Science, 2021 AbstractSparsification 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. In this work we introduce a sparsification method to preserve ego betweenness.
Amin Kaveh +2 more
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Assessing Ego-Centered Social Networks in formr: A Tutorial
Advances in Methods and Practices in Psychological Science, 2021 In psychological science, ego-centered social networks are assessed to investigate the patterning and development of social relationships. In this approach, a focal individual is typically asked to report the people they interact with in specific ...
Louisa M. Reins +2 more
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Hypergraph Ego-networks and Their Temporal Evolution [PDF]
2021 IEEE International Conference on Data Mining (ICDM), 2021 Interactions involving multiple objects simultaneously are ubiquitous across many domains. The systems these interactions inhabit can be modelled using hypergraphs, a generalization of traditional graphs in which each edge can connect any number of nodes.
Cazamere Comrie, Jon M. Kleinberg
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PLoS ONE, 2021 The study explores how social network determinants relate to the prevalence and frequency of alcohol use among peer dyads. It is studied how similar alcohol habits co-exist among persons (egos) and their peers (alters) when socio-demographic similarity ...
Nina-Katri Gustafsson +3 more
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Appraising discrepancies and similarities in semantic networks using concept-centered subnetworks
Applied Network Science, 2021 This article proposes an approach to compare semantic networks using concept-centered sub-networks. A concept-centered sub-network is defined as an induced network whose vertex set consists of the given concept (ego) and all its adjacent concepts (alters)
Darkhan Medeuov +3 more
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