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Titlebook: Computational Social Networks; Mining and Visualiza Ajith Abraham Book 2012 Springer-Verlag London 2012 Ad Hoc Network Applications and Ser

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发表于 2025-3-21 18:46:07 | 显示全部楼层 |阅读模式
书目名称Computational Social Networks
副标题Mining and Visualiza
编辑Ajith Abraham
视频video
概述Presents the latest advances in CSNs, and illustrates how organizations can gain a competitive advantage from a better understanding of complex social networks.Discusses the design and use of a wide r
图书封面Titlebook: Computational Social Networks; Mining and Visualiza Ajith Abraham Book 2012 Springer-Verlag London 2012 Ad Hoc Network Applications and Ser
描述This book is the third of three volumes that illustrate the concept of social networks from a computational point of view. The book contains contributions from a international selection of world-class experts, with a specific focus on knowledge discovery and visualization of complex networks (the other two volumes review .Tools, Perspectives, and Applications., and .Security and Privacy. in CSNs). Topics and features: presents the latest advances in CSNs, and illustrates how organizations can gain a competitive advantage from a better understanding of complex social networks; discusses the design and use of a wide range of computational tools and software for social network analysis; describes simulations of social networks, and the representation and analysis of social networks, highlighting methods for the data mining of CSNs; provides experience reports, survey articles, and intelligence techniques and theories relating to specific problems in network technology.
出版日期Book 2012
关键词Ad Hoc Network Applications and Services; Anonymity and Privacy; Ethical Dilemmas; Information Sharing;
版次1
doihttps://doi.org/10.1007/978-1-4471-4054-2
isbn_softcover978-1-4471-6237-7
isbn_ebook978-1-4471-4054-2
copyrightSpringer-Verlag London 2012
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Sustainable Development Goals Series they will induce the formation of mSNs in the next decades. To this end, we will show how to carry out successful SN analyses (e.g. clustering and data diffusion) by connecting ethological approaches to social behaviour in animals (e.g. the study of firefly synchronization) and M2M interactions.
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https://doi.org/10.1007/978-3-319-27905-3er presents some of the techniques and methods for mining geo-referenced multimedia content in order to discover patterns and trends in it, which can lead to better understanding of the phenomena driving the data generation in the first place.
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Performance Evaluation of Social Network Using Data Mining Techniquesnetwork analysis. Our proposed approach is intended to address the users of social network, that will not only help an organization to understand their external and internal associations but also highly necessary for the enhancement of collaboration, innovation and dissemination of knowledge.
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Mining Geo-Referenced Community-Contributed Multimedia Dataer presents some of the techniques and methods for mining geo-referenced multimedia content in order to discover patterns and trends in it, which can lead to better understanding of the phenomena driving the data generation in the first place.
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Analysis of Human-Computer Interactions and Online Social Networking: A Frameworkion and social networking. A framework is outlined for representing and measuring online social networks, especially those formed through Web 2.0 applications. A case study based on this framework is performed on Wikipedia.
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https://doi.org/10.1007/978-3-319-27905-3ges faced by data mining applications. Later in this chapter, characteristics of a real data collected from the Twitter are analysed. At the end of chapter, application of micro-blogging services is shown by three different case studies.
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