The latest version of this dataset can be found in:
Heuristics for Identifying Experts in Twitter
This is an anonymized dataset used for understanding how users identified as experts by others use Twitter differently than other users.
The dataset contains four types of users:
- friends of experts (users that experts follow)
- mentions (users that experts mention in their messages), and
- medium hashtag (users who use the same hashtags as experts, excluding outliers).
Each of the four domains: Science, Technology, Health and Fitness, and Business have similar number of users from group. Messages are collected between September-November 2015.
- user_features.csv: the features for each user groups
Copyright (c) 2016, Benjamin D. Horne, Dorit Nevo, Jesse Freitas, Heng Ji & Sibel Adali
All rights reserved.
Redistribution and use in any form, with or without modification, are permitted provided that the above copyright notice, this list of conditions and the following disclaimer are retained.
Any publication resulting from the use of this work must cite the following publication::
Expertise in Social Networks: How Do Experts Differ From Other Users? Benjamin D. Horne, Dorit Nevo, Jesse Freitas, Heng Ji & Sibel Adali, ICWSM 2016.
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