With the growing use of popular social media services like Facebook and Twitter it is hard to collect all content from the networks without access to the core infrastructure or paying for it. Thus, ...
On the topic of graph and social media crawling, @cite_7 present ways to evaluate and understand the data generated in social media. However, many social media crawling studies are obsolete due to updates by Facebook regarding of the default privacy policy of users' content, which makes it impossible by default to access Facebook users' content . Consequently, the amount of private Facebook data that can be collected is severely limited. Furthermore, since Facebook does not sell any of its data there is a need for crawling methods that collect social interaction data from publicly available sources, which is the main motivation for this work.
@cite_7
1774848501
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 convenient and coherent platform for students, practitioners, researchers, and project managers 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 in various scenarios of social media mining.