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  • © 2017

Network Role Mining and Analysis

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Part of the book series: SpringerBriefs in Complexity (BRIEFSCOMPLEXITY)

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xi
  2. Implied Role Mining

    • Derek Doran
    Pages 15-30
  3. Equivalence-Based Role Mining

    • Derek Doran
    Pages 31-48
  4. Deterministic Blockmodeling

    • Derek Doran
    Pages 49-61
  5. Stochastic Blockmodeling

    • Derek Doran
    Pages 63-76
  6. Advanced Computational Methods

    • Derek Doran
    Pages 77-94
  7. Concluding Remarks

    • Derek Doran
    Pages 95-101

About this book

This brief presents readers with a summary of classic, modern, and state-of-the-art methods for discovering the roles of entities in networks (including social networks) that range from small to large-scale. It classifies methods by their mathematical underpinning, whether they are driven by implications about entity behaviors in system, or if they are purely data driven. The brief also discusses when and how each method should be applied, and discusses some outstanding challenges toward the development of future role mining methods of each type.

Authors and Affiliations

  • Dept. of Computer Science & Engineering, Wright State University, Dayton, USA

    Derek Doran

About the author

Derek Doran is an Assistant Professor in the Department of Computer Science and Engineering at Wright State University in Dayton, OH. His research interests are in analyzing, modeling, and making sense of data generated from complex systems by their relational structure, with an emphasis on web, social, and geospatial systems. His publications on large-scale network analysis, social media mining, and data science pedagogy have been recognized with best paper awards and nominations, and is an inventor on multiple patents on network analysis. Dr. Doran is a National Science Foundation EAPSI Fellow, a Graduate Research Awardee of the Transportation Research Board of the National Academies, a twice summer alumnus of Bell Labs, and before joining Wright State University, was an interim researcher in the (Big) Data Analytics team at ABB Corporate Research.

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access