Results 91 to 100 of about 190 (112)
Visualización del Trabajo de Fin de Grado universitario como una red EgoNet
, 2016 openaire +1 more source
Think locally, act locally: detection of small, medium-sized, and large communities in large networks. [PDF]
Phys Rev E Stat Nonlin Soft Matter Phys, 2015 Jeub LG +4 more
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Network ethnic homophily and injection equipment sharing among Latinx and White non-Latinx people who inject drugs. [PDF]
J Ethn Subst AbuseLee E +5 more
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Social context in political stance detection: Impact and extrapolation. [PDF]
PLoS OneVilla-Cox R, Williams EM, Carley KM.
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Egonets as systematically biased windows on society
Network Science, 2020AbstractA person’s egonet, the set of others with whom that person is connected, is a personal sample of society which especially influences that person’s experience and perceptions of society. We show that egonets systematically misrepresent the general population because each person is included in as many egonets as that person has “friends ...
Scott L. Feld, Alec McGail
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Egonet tensor decomposition for community identification
2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2016Real-world networks are known to exhibit community structure, characterized by presence of dense node clusters with loose edge connections among them. Although identification of communities is a well-studied subject, most approaches only focus on edge-based criteria which may not incorporate important grouping information captured by higher-order ...
Fatemeh Sheikholeslami +3 more
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Soft unveiling of communities via egonet tensors
2017 51st Asilomar Conference on Signals, Systems, and Computers, 2017The task of community detection over a network pertains to identifying the underlying groups of nodes whose often-hidden association has manifested itself in dense connections among the members, and sparse inter-community links. The present work aims at improving the robustness of the traditional matrix-based community detection algorithms via ...
Fatemeh Sheikholeslami +1 more
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Mixed Methods in Egonet Analysis
2021Social network analysis that uses mixed methods has gained momentum in the last ten to fifteen years. Although not new, as SNA can count on a long and illustrious tradition of qualitative and ethnographic studies, the approach that relies on qualitative methods in data collection, analysis and interpretation, and mixes it with more or less ...
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Consolidating Identities of Authors through Egonet Structure
Proceedings of the 2017 ACM on Web Science Conference, 2017Individuals often appear with multiple names when considering large data-sets collected from different sources, giving rise to the name ambiguities. Name ambiguity comes in two flavors: a single individual appearing with more than one name (synonym problem); a single name being used to refer to more than one individual (homonym problem).
Janaína Gomide +2 more
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Structured Egonet Tensors for Robust Node Embedding
2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2019Recent advances in algorithmic and computational tools have led to an unprecedented growth in data mining over networks. However, partial knowledge of node connectivity (due to privacy concerns or the large number of nodes), as well as incomplete domain knowledge (as in e.g., biological applications), challenge learning tasks over real networks.
Fatemeh Sheikholeslami +1 more
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