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Mining Heterogeneous Information Networks by Yizhou Sun, Jiawei Han

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CHAPTER 2

Ranking-Based Clustering

For link-based clustering of heterogeneous information networks, we need to explore links across heterogeneous types of data. In this chapter, we study how ranking can be computed for different types of objects using different types of links, and show how ranking and clustering mutually enhance each other and finally achieve reasonable ranking and clustering results. Two special cases of heterogeneous information networks, the bi-typed networks and the star networks, are studied.

2.1 OVERVIEW

A great many analytical techniques have been proposed toward a better understanding of information networks, though largely on homogeneous information networks, among which are two prominent ones: ranking and clustering ...

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