Network Role Mining and Analysis

1. Auflage 2017
ISBN: 978-3-319-53885-3
Verlag: Springer

Buch, Englisch, 101 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1883 g

Reihe: SpringerBriefs in Complexity

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.

Zielgruppe

Research

Autoren/Hrsg.

Doran, Derek

Fachgebiete

• Mathematik | Informatik Mathematik Mathematik Interdisziplinär Systemtheorie
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Naturwissenschaften Physik Angewandte Physik Statistische Physik, Dynamische Systeme
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Sozialwissenschaften Psychologie Allgemeine Psychologie Differentielle Psychologie, Persönlichkeitspsychologie
• Sozialwissenschaften Psychologie Allgemeine Psychologie Sozialpsychologie

Inhaltsverzeichnis

Network Role Mining and Analysis: An Overview.- Implied Role Mining.- Equivalence-Based Role Mining.- Deterministic Blockmodeling.- Stochastic Blockmodeling.- Advanced Computational Methods.- Concluding Remarks.

Über Autor(innen)

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.