Please use this identifier to cite or link to this item: http://hdl.handle.net/10362/93925
Title: Simulation model to estimate emotions in collaborative networks
Author: Ferrada, Filipa
Camarinha-Matos, Luis M.
Keywords: collaborative network emotion
collaborative networks
socio-technical complexity
system dynamics; agent-based modelling
Engineering(all)
Computer Science Applications
Materials Science(all)
Issue Date: 1-Dec-2019
Citation: Ferrada, F., & Camarinha-Matos, L. M. (2019). Simulation model to estimate emotions in collaborative networks. Applied Sciences, 9(23), Article 5202. https://doi.org/10.3390/app9235202
Abstract: In recent years, the research on collaborative networks has been pointing to the need to put more emphasis on the social interactions of its participants, along with technical features, as a potential direction to finding solutions to prevent failures and potential conflicts. In this context, a modelling framework called Collaborative EMOtion modelling framework (C-EMO), conceived for appraising the collaborative network emotions that might be present in a collaborative networked environment, is presented, and an implementation approach, based on system dynamics and agentbased simulation modelling techniques, for estimating both the collaborative network emotional state and each member's emotions, is described. The work is divided in two parts: the first considers the design of the models and the second comprises the transformation of these conceptual models into a computer model, providing the proposed simulation model. In order to validate the simulation model, and taking into consideration the novelty of the research area, experiments are undertaken in different scenarios representing several aspects of a collaborative environment and a sensitivity analysis and discussion of the results is performed.
Description: This work has been funded in part by the Center of Technology and Systems and the Portuguese FCT-PEST program UID/EEA/00066/2019 (Impactor project), and partly by the GloNet project funded by the European Commission.
Peer review: yes
URI: http://hdl.handle.net/10362/93925
DOI: https://doi.org/10.3390/app9235202
ISSN: 2076-3417
Appears in Collections:FCT: DEE - Artigos em revista internacional com arbitragem científica

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