Name
Abstract | ||
|---|---|---|
Having good knowledge and comprehension of history is believed to be important for a variety of reasons. In this paper we report the initial results of a large scale exploratory analysis of history-focused references in microblogs based on 11-months long snapshot of Twitter data. The results of this study can be used for designing content recommendation systems and can help to improve time aware search applications. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3091478.3098868 | WebSci |
Keywords | Field | DocType |
social media analysis, history, collective memory, Twitter | Recommender system,World Wide Web,Social media,Computer science,Microblogging,Collective memory,Snapshot (computer storage),Web site,Comprehension | Conference |
Citations | PageRank | References |
1 | 0.35 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yasunobu Sumikawa | 1 | 4 | 4.90 |
| Adam Jatowt | 2 | 903 | 106.73 |
| Marten Düring | 3 | 4 | 5.86 |