Results 121 to 130 of about 381 (137)
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Egonet: A Genetic Algorithm Model for the Optimisation of Telephone Networks
International Journal of Computer Mathematics, 2003The aim of this paper is to study the use of genetic algorithms for the optimisation of telephone networks layout design. The genetic algorithms are used to design the network in a geographical sense with minimum costs depending on a set of real-world rules (constraints). A genetic algorithm tool (EGONET) is described.
D J Evans
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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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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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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 ...
Georgios B Giannakis
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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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OCDAD: An Overlapping Community Detecting Algorithm Using Attention Degree in Directed Ex-EgoNet
2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), 2019Detecting community structure is of great theoretic significance and application value to extracting latent information in complex networks. Various algorithms of community detecting in directed networks have been proposed from a macroscopic scale. However, only a few of them are designed for handling directed networks microscopically.
Furong Chang, Bofeng Zhang
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A Preliminary Look at Accuracy in Egonets
2014Abstract I assess the extent that the egonet method of collecting data permits accurate inferences to the true structural features of the network. This inference problem has three critical components: local-global inference error, ego distortion, and feature inference error.
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Journal of Intelligent and Fuzzy Systems, 2019
A bipartite network is a special kind of complex network that consists of two different types of nodes with edges existing only between the different node types. There are numerous real-world examples of bipartite networks, such as scientific collaboration networks and film-actor networks, among many others.
Furong Chang, Bofeng Zhang, Bing Guo Zou
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A bipartite network is a special kind of complex network that consists of two different types of nodes with edges existing only between the different node types. There are numerous real-world examples of bipartite networks, such as scientific collaboration networks and film-actor networks, among many others.
Furong Chang, Bofeng Zhang, Bing Guo Zou
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IEEE Transactions on Professional Communication, 2016
Research problem: Although labor statistics document a steady rise in contract, contingent, and entrepreneurial labor, knowledge about the professional communication practices that build and sustain independent careers in the field of technical communication (TC) largely emerges from broad survey analysis, cultural/social critiques, or individual ...
Benjamin Lauren, Stacey Pigg
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Research problem: Although labor statistics document a steady rise in contract, contingent, and entrepreneurial labor, knowledge about the professional communication practices that build and sustain independent careers in the field of technical communication (TC) largely emerges from broad survey analysis, cultural/social critiques, or individual ...
Benjamin Lauren, Stacey Pigg
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Using Krackhardt Data Over Time to Assess Egonet Dynamics and Accuracy
SSRN Electronic Journal, 2019There has been some debate over the extent to which egonets support accurate inferences regarding the actual structural features of social networks. The reliance of the egonet method on ego’s accurate perception of the local network naturally motivates the examination of differences between what ego perceives and what actually exists. Three decades ago,
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