@inproceedings{420e433c28f147bcb0250f695d58582f,
title = "Expertise in social networks: How do experts differ from other users?",
abstract = "Expertise location is a difficult task, with expertise often being implied and liable to change. In this paper we propose a heuristic-based approach for automated identification of expertise on Twitter. We collect tweets from experts and nonexperts in different domains and compute different types of features based on the heuristics regarding properties of the messages written and rewteeted by the experts. We show that these heuristics provide us with interesting insights regarding how experts differ from other user groups which can help guide future studies in this areas and algorithms for expertise location.",
author = "Horne, {Benjamin D.} and Dorit Nevo and Jesse Freitas and Heng Ji and Sibel Adali",
note = "Publisher Copyright: {\textcopyright} Copyright 2016, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.; 10th International Conference on Web and Social Media, ICWSM 2016 ; Conference date: 17-05-2016 Through 20-05-2016",
year = "2016",
language = "English (US)",
series = "Proceedings of the 10th International Conference on Web and Social Media, ICWSM 2016",
publisher = "American Association for Artificial Intelligence (AAAI) Press",
pages = "583--586",
booktitle = "Proceedings of the 10th International Conference on Web and Social Media, ICWSM 2016",
address = "United States",
}