One of the most interesting challenges in the area of social computing and social media analysis is the so-called community analysis. A well known barrier in cross-community (multiple website) analysis is the disconnectedness of these websites. In this paper, our aim is to provide evidence on the existence of a mapping among identities across multiple communities, providing a method for connecting these websites. Our studies have shown that simple, yet effective approaches, which leverage social media's collective patterns can be utilized to find such a mapping. The employed methods successfully reveal this mapping with 66% accuracy.
@inproceedings{reza2009connecting,
title = {Connecting Corresponding Identities across Communities},
author = {Reza Zafarani and Huan Liu},
year = {2009},
keywords = {conference},
booktitle = {Proceedings of the Third International AAAI Conference on Web and Social Media (ICWSM)},
abstract = {One of the most interesting challenges in the area of social computing and social media analysis is the so-called community analysis. A well known barrier in cross-community (multiple website) analysis is the disconnectedness of these websites. In this paper, our aim is to provide evidence on the existence of a mapping among identities across multiple communities, providing a method for connecting these websites. Our studies have shown that simple, yet effective approaches, which leverage social media's collective patterns can be utilized to find such a mapping. The employed methods successfully reveal this mapping with 66% accuracy.},
url = {http://aaai.org/ocs/index.php/ICWSM/09/paper/view/209},
pdf = {http://www.public.asu.edu/~huanliu/papers/icwsm09z.pdf},
poster = {posters/ICWSM09Poster.pdf},
}