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Titlebook: Complex Networks IX; Proceedings of the 9 Sean Cornelius,Kate Coronges,Alessandro Vespignani Conference proceedings 2018 Springer Internati

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發(fā)表于 2025-3-21 19:29:27 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Complex Networks IX
副標題Proceedings of the 9
編輯Sean Cornelius,Kate Coronges,Alessandro Vespignani
視頻videohttp://file.papertrans.cn/232/231493/231493.mp4
叢書名稱Springer Proceedings in Complexity
圖書封面Titlebook: Complex Networks IX; Proceedings of the 9 Sean Cornelius,Kate Coronges,Alessandro Vespignani Conference proceedings 2018 Springer Internati
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 9th International Conference on Complex Networks (CompleNet) in Boston, MA, March, 2018. 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..
出版日期Conference proceedings 2018
關鍵詞complex networks; social networks; network science; complexity science; systems science; group decision m
版次1
doihttps://doi.org/10.1007/978-3-319-73198-8
isbn_softcover978-3-319-89240-5
isbn_ebook978-3-319-73198-8Series ISSN 2213-8684 Series E-ISSN 2213-8692
issn_series 2213-8684
copyrightSpringer International Publishing AG 2018
The information of publication is updating

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Stabilizers for Earthen Building Materials,tance to every other vertex (has minimum eccentricity) constitutes the center of the graph. The minimum eccentricity value represents the graph’s radius. The eccentricity function of a graph can be unimodal or non-unimodal. A graph with unimodal eccentricity function has the property that the eccent
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https://doi.org/10.1007/978-3-319-10900-8 uniform density. The decomposition we define is unique in the sense that a given network has exactly one density decomposition. The number of nodes in each partition defines a density distribution which, we find, is measurably similar to the degree distribution of given . networks (social, internet
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https://doi.org/10.1007/978-3-319-10900-8am. Our model of a stream fixes the graph’s vertices and allows for fully dynamic edge changes, meaning it permits both addition and removal of edges. Our focus is on small graphs, since small graph isomorphism is an important primitive of many subgraph-based metrics, like motif analysis or frequent
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Riccati equations in noncylindrical domains,satile definition of the silhouette, by generalizing it to encompass different scenarios of proximity between entities in a network, where the distance notion can be geodesic-based or homophily-oriented. To the best of our knowledge, we are the first to propose this twofold perspective on the silhou
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