The DOI matches its Crossref record; 300 of the 300 references it cites were found in a registry or an index.
Social Media Mining: An Introduction
Abstract
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.
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Cited by
Agrawal, A., & Choudhary, A. (2016) · APL Materials · doi:10.1063/1.4946894 · Cited by 1,385
User Identity Linkage across Online Social Networks: A Review
Shu, K., Wang, S., Tang, J., Zafarani, R., & Liu, H. (2017) · ACM SIGKDD Explorations Newsletter · doi:10.1145/3068777.3068781 · Cited by 267
Self-citationXia, F., Wang, W., Bekele, T. M., & Liu, H. (2017) · IEEE Transactions on Big Data · doi:10.1109/tbdata.2016.2641460 · Cited by 266
Self-citationSocial fingerprinting: detection of spambot groups through DNA-inspired behavioral modeling
Cresci, S., Di Pietro, R., Petrocchi, M., Spognardi, A., & Tesconi, M. (2017) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2017.2681672 · Cited by 168
Tang, J., & Liu, H. (2015) · Synthesis Lectures on Information Security, Privacy, and Trust · doi:10.2200/s00657ed1v01y201507spt013 · Cited by 53
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Metadata
- Authors
- Zafarani, R., Abbasi, M. A., & Liu, H.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2014-04-28
- OpenAlex
- W1774848501
- Cited by
- 592
- References
- 300
- FWCI
- 60.31
- Type
- book
- Language
- en
- Open access
- closed
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