HADI: Mining Radii of Large Graphs
ACM Transactions on Knowledge Discovery from Data (TKDD)
Guest editorial: network science
IEEE Network: The Magazine of Global Internetworking
Network science: a new paradigm shift
IEEE Network: The Magazine of Global Internetworking
A multiple failure propagation model in GMPLS-based networks
IEEE Network: The Magazine of Global Internetworking
Developing social networks for artificial societies from survey data
SBP'10 Proceedings of the Third international conference on Social Computing, Behavioral Modeling, and Prediction
A link-analysis-based discriminant analysis for exploring partially labeled graphs
Pattern Recognition Letters
Stationary-sparse causality network learning
The Journal of Machine Learning Research
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The first comprehensive book on the emerging field of network science, Network Science: Theory and Applications is an exhaustive review of terms, ideas, and practices in the various areas of network science. In addition to introducing theory and application in easy-to-understand, topical chapters, this book describes the historical evolution of network science through the use of illustrations, tables, practice problems with solutions, case studies, and applications to related Java software. Researchers, professionals, and technicians in engineering, computing, and biology will benefit from this overview of new concepts in network science.