Emergent user behavior on Twitter modelled by a stochastic differential equation.
Where this comes from
- Record sourced from PubMed, PMID 25955783.
- Also identified by DOI 10.1371/journal.pone.0123876 and PMC identifier 4425543.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
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.
Medical subject headings
- Social Media
- Stochastic Processes