## 7 Conclusions and Future Work  
Aiming at implementing the C-EMO modeling framework, two modeling and simulation approaches were considered: the agent-based and system dynamics. The first one uses agents to represent the CN players and their behavior, and the second one models the emotion reasoning element of each agent. In other words, the agent-based approach models the C-EMO framework constructs have, embedded in each agent, the system dynamics model for emotion reasoning. Two system dynamics models are proposed: the ANEA SD model for appraising the aggregated network  
Figure 22: SimulCN CNAgent scenarios simulation results. emotion of the CN environment and, the IMEA SD model for assessing the individual member's emotion. Both models were designed to estimate the pair (valence, arousal) of collaborative networked emotions (CNEs) by modeling the causal influences of the gathered evidences, i.e., the information that is provided by the management system of the collaborative network. These models also reflect the influence of disrupting events in the CN environment, such as the violation of a social protocol, as well as the influence that the aggregated network emotion has on each particular member and, on the other hand, the effect that each member's emotion has on the overall aggregated emotion. The validation of the achieved solutions was conducted, taking into consideration that, to the best of the authors' knowledge, this is a pioneering research work, meaning that no other works concerning the study of emotions applied to organizations (and not to humans) in the context of CNs with a non-intrusive characteristic have been found by the authors so far. In addition, there is no substantial available historic information regarding CNs and their respective members that could be used to validate the proposed emotion modelling approaches in a real context. Furthermore, this work is not intended to show the most accurate or the most adequate model of emotions in CNs--that would be too ambitious, considering the amount of knowledge from different scientific areas that would be needed. Instead, it intends to provide a first step in the research area, providing a modeling framework on top of which new models and technologies can be built. This work was also partially validated in EU and national research projects, in terms of direct interaction with potential users of this modeling framework, and by industry stakeholders, in a workshop that took place in Chennai, India, within the activities of the GloNet project, where a brief presentation was conducted for 34 participants of a network of solar companies. After the presentation, participants answered a questionnaire comprising some essential questions about the fitness-for-purpose of this work and the overall results were quite satisfying. For instance, some results are: 50% of participants agree that this is a promising research area, 10% totally agree and 20% are neutral; 66.67% agree that the modeling framework designed to assess emotions is adequate and 25% are neutral; 58.34% agree that the information from CN members should be collected in a non-intrusive way and 33.33% are neutral. One participant expressed doubts about the applicability of this framework in the Indian context, due to different cultural aspects and different business practices. This is an issue that needs to be better explored in future research. Regarding future research, some aspects are identified as needing to be improved and others to be explored. Some aspects needing to be explored are: (_i_) the introduction of a third dimension, _intensity_, to the dimensional model of CNE (as seen in the validation); (_ii_) integration of social network analysis tools such as Pajek or SocNetV, in order to give more accurate inputs to the reasoning modules; (_iii_) creation of an emotional competences framework, to help in the characterization of the \"emotional maturity\" of each CN member; and (iv) self-regulation processes of emotions.