Social media mining : an introduction / Reza Zafarani, Arizona State University, Tempe, Mohammad Ali Abbasi, Arizona State University, Tempe, Huan Liu, Arizona State University, Tempe.
By: Zafarani, Reza [author.]
.
Contributor(s): Abbasi, Mohammad Ali [author.] | Liu, Huan [author.].
Material type: 
BookPublisher: Cambridge : Cambridge University Press, 2014Description: 1 online resource (xvi, 320 pages) : digital, PDF file(s).Content type: text Media type: computer Carrier type: online resourceISBN: 9781139088510 (ebook).Subject(s): Data mining | Social media -- Research | Behavioral assessment -- Data processing | WebometricsAdditional physical formats: Print version: : No titleDDC classification: 006.3/12 Online resources: Click here to access online Summary: 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.
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
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.
There are no comments for this item.