@inproceedings{7f03c49b45db42b38baeeaa37750b554,
title = "Why not scale free? Simulating company ego networks on Twitter",
abstract = "This paper simulates Companies' ego networks on Twitter, meaning the companies' number and type of followers. Evident from our data, we show that followers' distribution, in our focus, is neither scale free nor random, thus common network simulations cannot be used to mimic observed data. We present novel rate equations model to capture the complex dynamics of these ego networks.",
author = "Yoav Achiam and Inbal Yahav and Schwartz, \{David G.\}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016 ; Conference date: 18-08-2016 Through 21-08-2016",
year = "2016",
month = nov,
day = "21",
doi = "10.1109/ASONAM.2016.7752231",
language = "الإنجليزيّة",
series = "Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "174--177",
editor = "Ravi Kumar and James Caverlee and Hanghang Tong",
booktitle = "Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016",
address = "الولايات المتّحدة",
}