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Semi-supervised Network Alignment

  • Jiawei Zhang
  • Philip S. Yu
Chapter
  • 291 Downloads

Abstract

As mentioned before, in the real-world online social networks, the anchor links are extremely difficult to label manually. The training set we can obtain is usually of a small size compared with the network scale, and most of the potential anchor links are unlabeled actually. For instance, given the Facebook and Twitter networks containing millions or billions of users, identifying a very small training set merely with hundreds of correct anchor links is however not an easy task. Therefore, it is not realistic to achieve a large set of labeled anchor links as required by the supervised network alignment models introduced in Chap.  4. On the other hand, completely ignoring the (small) set of labeled anchor links, just like the unsupervised network alignment models introduced in Chap.  5, may also create lots of problems, since these labeled anchor links can provide important signals for the network alignment model building.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Jiawei Zhang
    • 1
  • Philip S. Yu
    • 2
  1. 1.Department of Computer ScienceFlorida State UniversityTallahasseeUSA
  2. 2.Department of Computer ScienceUniversity of IllinoisChicagoUSA

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