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Titlebook: Complex Networks VIII; Proceedings of the 8 Bruno Gonçalves,Ronaldo Menezes,Vinko Zlatic Conference proceedings 2017 Springer International

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Evolution Similarity for Dynamic Link Prediction in Longitudinal Networksnon-connected actor pairs. For this purpose, this study utilises time series forecasting methods to model the temporal evolution of actors’ network positions/importance and then it utilizes a dynamic programming method to determine the similarity between these evolutions of actor pairs to quantify t
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Anurag Agarwal,Vijay K. Garg,Vinit Ogaleage such model to measure the contribution of the privacy attitude of each individual to the robustness of the whole network to the spread of personal information, depending on its structure and degree distribution. We study experimentally our model by means of stochastic simulations on four synthet
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Giang Nguyen,Mathias Fischer,Thorsten Strufenon-connected actor pairs. For this purpose, this study utilises time series forecasting methods to model the temporal evolution of actors’ network positions/importance and then it utilizes a dynamic programming method to determine the similarity between these evolutions of actor pairs to quantify t
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2213-8684 ed and understood. This book provides a view of the state-of-the-art in this dynamic field and covers topics such as network controllability, social structure, online behavior, recommendation systems, and network structure..978-3-319-85350-5978-3-319-54241-6Series ISSN 2213-8684 Series E-ISSN 2213-8692
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Complex Networks VIII978-3-319-54241-6Series ISSN 2213-8684 Series E-ISSN 2213-8692
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Bruno Gonçalves,Ronaldo Menezes,Vinko ZlaticFocuses on the interdisciplinary nature of complex-network approach including contributions that span fields from biology to computer sciences, from economics to social sciences.Includes supplementary
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