Unknown

Dataset Information

0

Emergent user behavior on Twitter modelled by a stochastic differential equation.


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.

SUBMITTER: Mollgaard A 

PROVIDER: S-EPMC4425543 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC3042983 | biostudies-literature
| S-EPMC1892092 | biostudies-literature
| S-EPMC7811582 | biostudies-literature
| S-EPMC8913777 | biostudies-literature
| S-EPMC5957360 | biostudies-literature
| S-EPMC3089610 | biostudies-literature
| S-EPMC9184577 | biostudies-literature
| S-EPMC4274811 | biostudies-literature
| S-EPMC5298322 | biostudies-literature
| S-EPMC5462814 | biostudies-literature