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We collect Twitter posts to monitor flood events in Italy during a period of one year. We analyse the statistics of the collected content. We extract word clouds, popular keywords and we demonstrate events in a one-year timeline. A large part of the collection has been annotated by Italian experts on the relevance or not to flood events.
| 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). | 0 | |
| 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). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 9 | |
| downloads | 9 |

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Downloads provided by UsageCounts