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Big network analytics based on nonconvex optimization
The scientific problems that Big Data faces may be network scientific problems. Network analytics contributes a great deal to networked Big Data processing. Many network issues can
be modeled as nonconvex optimization problems and consequently they can be addressed by
optimization techniques. In the pipeline of nonconvex optimization techniques, evolutionary
computation gives an outlet to handle these problems efficiently. Because, network community discovery is a critical research agenda of network analytics, in this chapter we focus
on the evolutionary computation based nonconvex optimization for network community discovery. The single and multiple objective optimization models for the community discovery
problem are thoroughly investigated. Several experimental studies are shown to demonstrate
the effectiveness of optimization based approach for big network community analytics
2018-02-08
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