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Titlebook: Complex Networks and Their Applications XI; Proceedings of The E Hocine Cherifi,Rosario Nunzio Mantegna,Salvatore M Conference proceedings

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發(fā)表于 2025-3-21 19:42:51 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Complex Networks and Their Applications XI
副標(biāo)題Proceedings of The E
編輯Hocine Cherifi,Rosario Nunzio Mantegna,Salvatore M
視頻videohttp://file.papertrans.cn/232/231510/231510.mp4
概述Presents the latest research in complex networks and their applications.Gathers the edited proceedings of the Eleventh International Workshop on Complex Networks & their Applications.Offers state-of-t
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Complex Networks and Their Applications XI; Proceedings of The E Hocine Cherifi,Rosario Nunzio Mantegna,Salvatore M Conference proceedings
描述.This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the XI International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2022). The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics, and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks and technological networks..
出版日期Conference proceedings 2023
關(guān)鍵詞Complex Networks; Complex Networks 2022; Network Models; Network Dynamics; Network Analysis
版次1
doihttps://doi.org/10.1007/978-3-031-21127-0
isbn_softcover978-3-031-21129-4
isbn_ebook978-3-031-21127-0Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 21:05:50 | 只看該作者
Nachbarschaft und Gemeinschaft,discussed on Twitter during a perfect temporally bound (sporting) event. Such characteristics allow us to track the rise and evolution of echo chambers in time, thus relating their existence to specific episodes.
板凳
發(fā)表于 2025-3-22 03:46:42 | 只看該作者
https://doi.org/10.1007/978-3-658-16001-2maximum knowledge and analyzing the results of our simulations we managed to show that they both follow a power law. Another result is that the number of “holes” in the knowledge corpus always remains limited. Using an approach based on a death-birth Markov process we were able to derive some analytical approximation of it.
地板
發(fā)表于 2025-3-22 05:06:25 | 只看該作者
5#
發(fā)表于 2025-3-22 12:05:51 | 只看該作者
Properties of Reddit News Topical Interactionsn their underlying publication mechanisms. After conducting an in-depth case study on 100,000 news headline from 2019, we retrieve state-of-the-art conclusions about interactions and conclude that they play a minor role in this dataset.
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發(fā)表于 2025-3-22 15:32:57 | 只看該作者
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發(fā)表于 2025-3-22 19:25:26 | 只看該作者
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發(fā)表于 2025-3-23 00:11:35 | 只看該作者
The Effects of?Message Sorting in?the?Diffusion of?Information in?Online Social Mediae the three scenarios with a baseline model where the information is organized in a first-in first-out manner. Our results indicate that such an approach intensifies the exposure of high-quality information increasing the overall system’s quality while preserving its diversity. However, it significantly decreases the system’s discriminative power.
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發(fā)表于 2025-3-23 03:28:17 | 只看該作者
Stadt - Landschaft - Hybridit?trom a handful of labelled observations, and show that this method enables more accurate differentiation between liberal and conservative Twitter accounts. These results indicate that knowledge graphs can potentially be useful tools for analyzing online discourse.
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發(fā)表于 2025-3-23 07:23:22 | 只看該作者
https://doi.org/10.1007/978-3-531-18662-7c social network graph profiling, and finally demonstrate its utility in analyzing real-world empirical evidence of ‘echo chambers’ on online social media, as well as interdisciplinary diversity in an academic communications network.
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