A Comparison of Clustering the Swedish Political Twittersphere Based on Social Interactions and on Tweet Content
This thesis evaluates and compares two different clustering strategies for clustering users in Sweden’s political Twittersphere: clustering based on tweet content and clustering based on social interactions data. Users were detected by filtering a stream of tweets filtered on a list of politically c...
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| Format: | Others |
| Language: | English |
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KTH, Skolan för datavetenskap och kommunikation (CSC)
2016
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-186469 |