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Titlebook: Applications of Social Media and Social Network Analysis; Przemysław Kazienko,Nitesh Chawla Book 2015 Springer International Publishing Sw

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期刊全称Applications of Social Media and Social Network Analysis
影响因子2023Przemysław Kazienko,Nitesh Chawla
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发行地址Includes a number of real-world application of methodologies developed for social network analysis.Covers application of various analytical methods to social media data.Demonstrates applicability of s
学科分类Lecture Notes in Social Networks
图书封面Titlebook: Applications of Social Media and Social Network Analysis;  Przemysław Kazienko,Nitesh Chawla Book 2015 Springer International Publishing Sw
影响因子.This collection of contributed chapters demonstrates a wide range of applications within two overlapping research domains: social media analysis and social network analysis. Various methodologies were utilized in the twelve individual chapters including static, dynamic and real-time approaches to graph, textual and multimedia data analysis. The topics apply to reputation computation, emotion detection, topic evolution, rumor propagation, evaluation of textual opinions, friend ranking, analysis of public transportation networks, diffusion in dynamic networks, analysis of contributors to communities of open source software developers, biometric template generation as well as analysis of user behavior within heterogeneous environments of cultural educational centers. Addressing these challenging applications is what makes this edited volume of interest to researchers and students focused on social media and social network analysis..
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https://doi.org/10.1007/978-3-662-48893-5 show that our algorithm can compute more accurate reputations than existing algorithms especially when the topological information matters. The experiments are conducted in random social networks and Autonomous Systems Network of the Internet. In addition, we show the efficacies of each component i
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Elektrochemische Energiespeicherf ranks within the Top Friends (e.g., #1-versus-#3, #2-versus-#3, ...) also reveal no marked preference for a popular friend over a less popular one; in fact, there is some evidence that individuals tend to prefer less popular friends over more popular ones. To the extent that ranking decisions form
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https://doi.org/10.1007/978-3-7091-8671-8xt-aware mechanisms to drill down into evidence underlying presented indicators. The driving use case for our explanation infrastructure has been a specific analysis system designed to automate the forecasting of trends in science and technology based on collections of published patents and scientif
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