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Titlebook: Complex Networks X; Proceedings of the 1 Sean P. Cornelius,Clara Granell Martorell,Bruno Go Conference proceedings 2019 Springer Nature Swi

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書目名稱Complex Networks X
副標(biāo)題Proceedings of the 1
編輯Sean P. Cornelius,Clara Granell Martorell,Bruno Go
視頻videohttp://file.papertrans.cn/232/231498/231498.mp4
叢書名稱Springer Proceedings in Complexity
圖書封面Titlebook: Complex Networks X; Proceedings of the 1 Sean P. Cornelius,Clara Granell Martorell,Bruno Go Conference proceedings 2019 Springer Nature Swi
描述This book aims to bring together researchers and practitioners working across domains and research disciplines to measure, model, and visualize complex networks. It collects the works presented at the 10th International Conference on Complex Networks (CompleNet) in Taragona, Spain, March, 2019. With roots in physical, information and social science, the study of complex networks provides a formal set of mathematical methods, computational tools and theories to describe, prescribe and predict dynamics and behaviors of complex systems. Despite their diversity, whether the systems are made up of physical, technological, informational, or social networks, they share many common organizing principles and thus can be studied with similar approaches. This book provides a view of the state-of-the-art in this dynamic field and covers topics such as group decision-making, brain and cellular connectivity, network controllability and resiliency, online activism, recommendation systems, and cyber security.? This text will appeal to students and researchers in the field.?
出版日期Conference proceedings 2019
關(guān)鍵詞complex networks; social networks; network science; complexity science; systems science; group decision m
版次1
doihttps://doi.org/10.1007/978-3-030-14459-3
isbn_ebook978-3-030-14459-3Series ISSN 2213-8684 Series E-ISSN 2213-8692
issn_series 2213-8684
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Output Feedback Stabilizing Controls,y, Venmo’s network exhibits densification and resilience, which indicate a high level of engagement from its users. Last, we examine the “topological” version of the small-world hypothesis, and find that Venmo users are separated by a mean of 5.9 steps and a median of 6 steps.
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Missing Data Augmentation for Bayesian Exponential Random Multi-Graph Modelsmultiplex network structures. It is an extension of Bayesian exponential random graphs (BERGMs) as implemented in the . package in .. We demonstrate the algorithm on a well-known example, with and without artificially simulated missing data.
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2213-8684 ize complex networks. It collects the works presented at the 10th International Conference on Complex Networks (CompleNet) in Taragona, Spain, March, 2019. With roots in physical, information and social science, the study of complex networks provides a formal set of mathematical methods, computation
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Spread and Control of Misinformation with Heterogeneous Agentsn mitigates the influence of malicious agents on the overall system’s quality, and also show how it controls low-quality information in the presence of agents with heterogeneous criteria of information’s quality assessment.
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