Results 11 to 20 of about 2,730,058 (282)
Critical size of ego communication networks [PDF]
With the help of information and communication technologies, studies on the overall social networks have been extensively reported recently. However, investigations on the directed Ego Communication Networks (ECNs) remain insufficient, where an ECN stands for a sub network composed of a centralized individual and his/her direct contacts. In this paper,
Qing Wang 0038 +4 more
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Analysis of Ego Network Structure in Online Social Networks [PDF]
Results about offline social networks demonstrated that the social relationships that an individual (ego) maintains with other people (alters) can be organised into different groups according to the ego network model. In this model the ego can be seen as the centre of a series of layers of increasing size. Social relationships between ego and alters in
Arnaboldi Valerio +3 more
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Generalizing Hypergraph Ego-Networks and Their Temporal Stability
Ego-networks provide a local perspective on networked systems by focusing on a central entity and its immediate relational context. While extensively studied in static pairwise interaction models, their analysis in dynamic and higher-order interaction contexts remains limited.
Cauteruccio Francesco +3 more
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DyEgoVis: Visual Exploration of Dynamic Ego-Network Evolution
Ego-network, which can describe relationships between a focus node (i.e., ego) and its neighbor nodes (i.e., alters), often changes over time. Exploring dynamic ego-networks can help users gain insight into how each ego interacts with and is influenced ...
Kun Fu +5 more
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An ego network analysis of sextortionists [PDF]
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
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]
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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Probabilistic network sparsification with ego betweenness [PDF]
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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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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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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