Algorithms and Software for the Analysis of Large Complex Networks - 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 Software for the Analysis of Large Complex Networks write by Christian Lorenz Staudt. This book was released on 2016. Algorithms and Software for the Analysis of Large Complex Networks available in PDF, EPUB and Kindle.
Algorithmics of Large and Complex Networks
Algorithmics of Large and Complex Networks - 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 Algorithmics of Large and Complex Networks write by Jürgen Lerner. This book was released on 2009-06-29. Algorithmics of Large and Complex Networks available in PDF, EPUB and Kindle. Networks play a central role in today’s society, since many sectors employing information technology, such as communication, mobility, and transport - even social interactions and political activities - are based on and rely on networks. In these times of globalization and the current global financial crisis with its complex and nearly incomprehensible entanglements of various structures and its huge effect on seemingly unrelated institutions and organizations, the need to understand large networks, their complex structures, and the processes governing them is becoming more and more important. This state-of-the-art survey reports on the progress made in selected areas of this important and growing field, thus helping to analyze existing large and complex networks and to design new and more efficient algorithms for solving various problems on these networks since many of them have become so large and complex that classical algorithms are not sufficient anymore. This volume emerged from a research program funded by the German Research Foundation (DFG) consisting of projects focusing on the design of new discrete algorithms for large and complex networks. The 18 papers included in the volume present the results of projects realized within the program and survey related work. They have been grouped into four parts: network algorithms, traffic networks, communication networks, and network analysis and simulation.
Big Data of Complex Networks
Big Data of Complex Networks - 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 Big Data of Complex Networks write by Matthias Dehmer. This book was released on 2016-08-19. Big Data of Complex Networks available in PDF, EPUB and Kindle. Big Data of Complex Networks presents and explains the methods from the study of big data that can be used in analysing massive structural data sets, including both very large networks and sets of graphs. As well as applying statistical analysis techniques like sampling and bootstrapping in an interdisciplinary manner to produce novel techniques for analyzing massive amounts of data, this book also explores the possibilities offered by the special aspects such as computer memory in investigating large sets of complex networks. Intended for computer scientists, statisticians and mathematicians interested in the big data and networks, Big Data of Complex Networks is also a valuable tool for researchers in the fields of visualization, data analysis, computer vision and bioinformatics. Key features: Provides a complete discussion of both the hardware and software used to organize big data Describes a wide range of useful applications for managing big data and resultant data sets Maintains a firm focus on massive data and large networks Unveils innovative techniques to help readers handle big data Matthias Dehmer received his PhD in computer science from the Darmstadt University of Technology, Germany. Currently, he is Professor at UMIT – The Health and Life Sciences University, Austria, and the Universität der Bundeswehr München. His research interests are in graph theory, data science, complex networks, complexity, statistics and information theory. Frank Emmert-Streib received his PhD in theoretical physics from the University of Bremen, and is currently Associate professor at Tampere University of Technology, Finland. His research interests are in the field of computational biology, machine learning and network medicine. Stefan Pickl holds a PhD in mathematics from the Darmstadt University of Technology, and is currently a Professor at Bundeswehr Universität München. His research interests are in operations research, systems biology, graph theory and discrete optimization. Andreas Holzinger received his PhD in cognitive science from Graz University and his habilitation (second PhD) in computer science from Graz University of Technology. He is head of the Holzinger Group HCI-KDD at the Medical University Graz and Visiting Professor for Machine Learning in Health Informatics Vienna University of Technology.
Models, Algorithms and Technologies for Network Analysis
Models, Algorithms and Technologies for Network 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 Models, Algorithms and Technologies for Network Analysis write by Mikhail V. Batsyn. This book was released on 2014-10-30. Models, Algorithms and Technologies for Network Analysis available in PDF, EPUB and Kindle. This volume compiles the major results of conference participants from the "Third International Conference in Network Analysis" held at the Higher School of Economics, Nizhny Novgorod in May 2013, with the aim to initiate further joint research among different groups. The contributions in this book cover a broad range of topics relevant to the theory and practice of network analysis, including the reliability of complex networks, software, theory, methodology, and applications. Network analysis has become a major research topic over the last several years. The broad range of applications that can be described and analyzed by means of a network has brought together researchers, practitioners from numerous fields such as operations research, computer science, transportation, energy, biomedicine, computational neuroscience and social sciences. In addition, new approaches and computer environments such as parallel computing, grid computing, cloud computing, and quantum computing have helped to solve large scale network optimization problems.
Complex Networks in Software, Knowledge, and Social Systems
Complex Networks in Software, Knowledge, and Social Systems - 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 Complex Networks in Software, Knowledge, and Social Systems write by Miloš Savić. This book was released on 2018-05-10. Complex Networks in Software, Knowledge, and Social Systems available in PDF, EPUB and Kindle. This book provides a comprehensive review of complex networks from three different domains, presents novel methods for analyzing them, and highlights applications with accompanying case studies. Special emphasis is placed on three specific kinds of complex networks of high technological and scientific importance: software networks extracted from the source code of computer programs, ontology networks describing semantic web ontologies, and co-authorship networks reflecting collaboration in science. The book is primarily intended for researchers, teachers and students interested in complex networks and network data analysis. However, it will also be valuable for researchers dealing with software engineering, ontology engineering and scientometrics, as it demonstrates how complex network analysis can be used to address important research issues in these three disciplines.
