Algorithms and Models for Network Data and Link Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Algorithms and Models for Network Data and Link Analysis write by François Fouss. This book was released on 2016. Algorithms and Models for Network Data and Link Analysis available in PDF, EPUB and Kindle. Network data are produced automatically by everyday interactions - social networks, power grids, and links between data sets are a few examples. Such data capture social and economic behavior in a form that can be analyzed using powerful computational tools. This book is a guide to both basic and advanced techniques and algorithms for extracting useful information from network data. The content is organized around 'tasks', grouping the algorithms needed to gather specific types of information and thus answer specific types of questions. Examples include similarity between nodes in a network, prestige or centrality of individual nodes, and dense regions or communities in a network. Algorithms are derived in detail and summarized in pseudo-code. The book is intended primarily for computer scientists, engineers, statisticians and physicists, but it is also accessible to network scientists based in the social sciences. Matlab/Octave code illustrating some of the algorithms will be available at: http://www.cambridge.org/9781107125773.
Algorithms and Models for Network Data and Link Analysis
Algorithms and Models for Network Data and Link Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Algorithms and Models for Network Data and Link Analysis write by François Fouss. This book was released on 2016-07-12. Algorithms and Models for Network Data and Link Analysis available in PDF, EPUB and Kindle. Network data are produced automatically by everyday interactions - social networks, power grids, and links between data sets are a few examples. Such data capture social and economic behavior in a form that can be analyzed using powerful computational tools. This book is a guide to both basic and advanced techniques and algorithms for extracting useful information from network data. The content is organized around 'tasks', grouping the algorithms needed to gather specific types of information and thus answer specific types of questions. Examples include similarity between nodes in a network, prestige or centrality of individual nodes, and dense regions or communities in a network. Algorithms are derived in detail and summarized in pseudo-code. The book is intended primarily for computer scientists, engineers, statisticians and physicists, but it is also accessible to network scientists based in the social sciences. MATLAB®/Octave code illustrating some of the algorithms will be available at: http://www.cambridge.org/9781107125773.
Link Mining: Models, Algorithms, and Applications
Link Mining: Models, Algorithms, and Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Link Mining: Models, Algorithms, and Applications write by Philip S. Yu. This book was released on 2010-09-16. Link Mining: Models, Algorithms, and Applications available in PDF, EPUB and Kindle. This book offers detailed surveys and systematic discussion of models, algorithms and applications for link mining, focusing on theory and technique, and related applications: text mining, social network analysis, collaborative filtering and bioinformatics.
Network Algorithms, Data Mining, and Applications
Network Algorithms, Data Mining, and Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Network Algorithms, Data Mining, and Applications write by Ilya Bychkov. This book was released on 2020-02-22. Network Algorithms, Data Mining, and Applications available in PDF, EPUB and Kindle. This proceedings presents the result of the 8th International Conference in Network Analysis, held at the Higher School of Economics, Moscow, in May 2018. The conference brought together scientists, engineers, and researchers from academia, industry, and government. Contributions in this book focus on the development of network algorithms for data mining and its applications. Researchers and students in mathematics, economics, statistics, computer science, and engineering find this collection a valuable resource filled with the latest research in network analysis. Computational aspects and applications of large-scale networks in market models, neural networks, social networks, power transmission grids, maximum clique problem, telecommunication networks, and complexity graphs are included with new tools for efficient network analysis of large-scale networks. Machine learning techniques in network settings including community detection, clustering, and biclustering algorithms are presented with applications to social network analysis.
Link Mining: Models, Algorithms, and Applications
Link Mining: Models, Algorithms, and Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Link Mining: Models, Algorithms, and Applications write by Philip S. Yu. This book was released on 2010-09-29. Link Mining: Models, Algorithms, and Applications available in PDF, EPUB and Kindle. This book offers detailed surveys and systematic discussion of models, algorithms and applications for link mining, focusing on theory and technique, and related applications: text mining, social network analysis, collaborative filtering and bioinformatics.
