TY - GEN
T1 - Networks dynamics and information sharing
T2 - 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019
AU - Za, Stefano
AU - Bardossy, M. Gisela
AU - Scornavacca, Eusebio
N1 - Publisher Copyright:
© 2019 IEEE Computer Society. All rights reserved.
PY - 2019
Y1 - 2019
N2 - The widespread availability of digital ecosystems and networking tools have supported the emergence of the sharing economy, and in particular, social support networks that enable collaborative consumption. This paper proposes an agent-based simulation to shed light on how information sharing dynamics can affect the decision-making process and outcomes of asset sharing online communities. The model considers the online community as a complex system of cognitive and tangible networks, and provides a platform to evaluate architectural choices in the design process of digital platforms. It is grounded on a cognitive model of dependence networks and provides a means for modeling the dynamics of collaborative consumption in digital social support networks. The results of four simulation runs are analyzed and discussed, providing insights regarding the potentiality of this approach and the effect of behavioral rules on agents' outcomes and decision-making patterns.
AB - The widespread availability of digital ecosystems and networking tools have supported the emergence of the sharing economy, and in particular, social support networks that enable collaborative consumption. This paper proposes an agent-based simulation to shed light on how information sharing dynamics can affect the decision-making process and outcomes of asset sharing online communities. The model considers the online community as a complex system of cognitive and tangible networks, and provides a platform to evaluate architectural choices in the design process of digital platforms. It is grounded on a cognitive model of dependence networks and provides a means for modeling the dynamics of collaborative consumption in digital social support networks. The results of four simulation runs are analyzed and discussed, providing insights regarding the potentiality of this approach and the effect of behavioral rules on agents' outcomes and decision-making patterns.
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M3 - Conference contribution
AN - SCOPUS:85070862195
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
SP - 600
EP - 609
BT - Proceedings of the 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019
A2 - Bui, Tung X.
PB - IEEE Computer Society
Y2 - 8 January 2019 through 11 January 2019
ER -