Publikation: Identifying Traits of Leaders in Movement Initiation
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How do leaders lead? Are individuals with influence always at the front of their group? Do they initiate travel in new directions or are they first to start moving? Which attempts to initiate movement translate to leadership? In this paper we present a computational method to characterize and classify the types of leaders in movement initiation. We adapt a leadership inference framework, FLICA, to extract information about which individuals act as leaders. We then propose a framework for ranking leaders according to their position, velocity, and heading relative to the group and perform hypothesis testing of correlations between target features and leadership ranking. We use a time series of GPS positions of wild olive baboons (Papio anubis) as an application of our approach. Our results demonstrate that there is no correlation between leadership and early movement, there is negative correlation between leadership and new directions, while leadership and new area exploration are positively correlated. Thus, as an example, in baboons, our approach shows that while leaders are not the first to move, they are typically at the front and move in a new area with everybody immediately aligning in the direction of leader. Our simple scheme is flexible to be applied to other data sets and sets of traits to characterize leadership.
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AMORNBUNCHORNVEJ, Chainarong, Margaret C. CROFOOT, Tanya Y. BERGER-WOLF, 2017. Identifying Traits of Leaders in Movement Initiation. ASONAM '17. Sydney, Australia, 31. Juli 2017 - 3. Aug. 2017. In: DIESNER, Jana, ed. and others. Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 (ASONAM '17). New York, NY: ACM Press, 2017, pp. 660-667. ISBN 978-1-4503-4993-2. Available under: doi: 10.1145/3110025.3110088BibTex
@inproceedings{Amornbunchornvej2017Ident-46384,
year={2017},
doi={10.1145/3110025.3110088},
title={Identifying Traits of Leaders in Movement Initiation},
isbn={978-1-4503-4993-2},
publisher={ACM Press},
address={New York, NY},
booktitle={Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 (ASONAM '17)},
pages={660--667},
editor={Diesner, Jana},
author={Amornbunchornvej, Chainarong and Crofoot, Margaret C. and Berger-Wolf, Tanya Y.}
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