Year-end Sale % OFF 
Abstract
Data from the social-media site, Twitter, is used to study the fluctuations in tweet rates of brand names. The tweet rates are the result of a strongly correlated user behavior, which leads to bursty collective dynamics with a characteristic 1/f noise. Here we use the aggregated "user interest" in a brand name to model collective human dynamics by a stochastic differential equation with multiplicative noise. The model is supported by a detailed analysis of the tweet rate fluctuations and it reproduces both the exact bursty dynamics found in the data and the 1/f noise.
Highlights
IntroductionHumans are connected in real time on global scales
In the online era, humans are connected in real time on global scales
In this paper we have studied the dynamics of interest in global brands by analyzing tweet rates on the online social media site Twitter
Summary
Humans are connected in real time on global scales. Social online media have become an important platform for the sharing of information and have allowed for detailed studies of the coherent behavior of humans on a global scale [1,2,3,4,5,6]. The popular microblogging platform Twitter is a good source for such studies for two reasons. User behavior is to a large extent influenced by information available via other information channels in society. Users respond to available information by submitting short public messages, “tweets”, of up to 140 characters that may be seen as proxies for the public interest. Recent research on Twitter has used the activity levels in forecasting real-world events including fluctuations of stock market prices [9], real-time detection of the location and spread of earthquakes hitting populated areas [10], and for sentiment analysis and opinion mining [11]
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
