Social Media Mining

Erscheinungsjahr 2018
ISBN: 978-1-107-01885-3
Verlag: Cambridge University Press

Buch, Englisch, 332 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 672 g

The growth of social media over the last decade has revolutionized the way individuals interact and industries conduct business. Individuals produce data at an unprecedented rate by interacting, sharing, and consuming content through social media. Understanding and processing this new type of data to glean actionable patterns presents challenges and opportunities for interdisciplinary research, novel algorithms and tool development. Social Media Mining integrates social media, social network analysis, and data mining to provide a coherent platform to understand the basics and potentials of social media mining. It introduces the unique problems arising from social media data and presents fundamental concepts, emerging issues, and effective algorithms for network analysis and data mining. Suitable for use in advanced undergraduate and beginning graduate courses as well as professional short courses, the text contains exercises of different degrees of difficulty that improve understanding and help apply concepts, principles and methods for social media mining.

Autoren/Hrsg.

Zafarani, Reza

Abbasi, Mohammad Ali

Liu, Huan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein Rechtliche Aspekte der EDV
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein Soziale und ethische Aspekte der EDV

Inhaltsverzeichnis

1. Introduction to social media mining; 2. Graph essentials; 3. Network measures; 4. Network models; 5. Data mining essentials; 6. Community analysis; 7. Information diffusion; 8. Influence and homophily; 9. Recommendation in social media; 10. Behavior analytics.

Über Autor(innen)

Abbasi, Mohammad Ali
Mohammad Ali Abbasi is a Research Associate of Computer Science and Engineering at Arizona State University. His research is focused on evaluating user credibility in social media and using social media for humanitarian assistance and disaster relief.

Zafarani, Reza
Reza Zafarani is a Research Associate of Computer Science and Engineering at Arizona State University. He performs research in user behavioral modeling and was among the first to research on user identification and behavioral analysis across sites.

Liu, Huan
Huan Liu is a Professor of Computer Science and Engineering at Arizona State University where he has been recognized for excellence in teaching and research. His research interests include real-world, data intensive applications with high-dimensional data of disparate forms, such as social media.