Local variation of collective attention in hashtag spike trains
In this paper, we propose a methodology quantifying temporal patterns of nonlinear hashtag time series. Our approach is based on an analogy between neuron spikes and hashtag diffusion. We adopt the local variation, originally developed to analyze local time delays in neuron spike trains. We show tha...
| Main Authors: | , |
|---|---|
| Format: | Journal article |
| Language: | English |
| Published: |
AAAI Press
2021
|