Abstract
This chapter examines the bigness of the graph and how graphs are related to big data. It mentions different big graph analytics approaches while categorizing different frameworks for each approach. The chapter discusses different techniques and algorithms used in graph analytics. It also mentions the issues and challenges involved in big graph analytics. The chapter identifies a number of such application areas for big graph analytics. Big graph analytics is an exciting new area for data analytics. The big graph analytics is essentially an important and effective tool for knowledge discovery in big data. In a graph, how nodes are connected with each other is defined by connectivity. To determine weakness in utility networks, such as power grid, connectivity analysis can be used. Path analysis is used to identify and explore all the connections between a pair of nodes.
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