
arXiv: 1102.2091
We study the dynamics of public media attention by monitoring the content of online blogs. Social and media events can be traced by the propagation of word frequencies of related keywords. Media events are classified as exogenous - where blogging activity is triggered by an external news item - or endogenous where word frequencies build up within a blogging community without external influences. We show that word occurrences show statistical similarities to earthquakes. The size distribution of media events follows a Gutenberg-Richter law, the dynamics of media attention before and after the media event follows Omori's law. We present further empirical evidence that for media events of endogenous origin the overall public reception of the event is correlated with the behavior of word frequencies at the beginning of the event, and is to a certain degree predictable. These results may imply that the process of opinion formation in a human society might be related to effects known from excitable media.
4 pages, 4 figures
Social and Information Networks (cs.SI), FOS: Computer and information sciences, Physics - Physics and Society, 070, Empirical power laws, FOS: Physical sciences, Statistical human dynamics, Computer Science - Social and Information Networks, Excitable social system, Physics and Society (physics.soc-ph)
Social and Information Networks (cs.SI), FOS: Computer and information sciences, Physics - Physics and Society, 070, Empirical power laws, FOS: Physical sciences, Statistical human dynamics, Computer Science - Social and Information Networks, Excitable social system, Physics and Society (physics.soc-ph)
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 13 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
