Graph Data Modeling

by Angela Bonifati (Author), George Fletcher (Author), Hannes Voigt (Author), Nikolay Yakovets (Author), H. V. Jagadish (Editor)
Graph data modeling and querying arises in many practical application domains such as social and biological networks where the primary focus is on concepts and their relationships and the rich patterns in these complex webs of interconnectivity

This book highlights some of the unique aspects of spatio-temporal graph data from the perspectives of modeling and developing scalable algorithms. The authors discuss in the first part of this book, the semantic aspects of spatio-temporal graph data in two application domains, viz., urban transportation and social networks. Then the authors present representational models and data structures, which can effectively capture these semantics, while ensuring support for computationally scalable algorithms.

A step by step guide to data modeling concepts and best practices underpinning sound database design.