## 4 Simulation Modeling for CN Emotion Appraisal
### ANEA SD Model
#### 4.2.1 Definition of Variables  
According to C-EMO, the variables of the ANEA component are the ones provided by the ANE evidences vector and by the CN goals vector. The adopted definition of each type of variable in the ANE evidences vector for the ANEA SD model is given in Table 6, below. \begin{table}
\begin{tabular}{c c} \hline \hline
**Evidences** & **Definition** \\
**Variables** & The latest value of the estimated valence, so it represents the initial value of valence before the new estimation. \\ \hline
**Arousal** & The latest value of the estimated arousal, so it represents the initial value of arousal before the new estimation. \\ \hline
**Valence Decay** & The value of the decay that the valence dimension of ANE assumes for the CN environment. \\ \hline
**Arousal Decay** & The value of the decay that the arousal dimension of ANE assumes for the CN environment. \\ \hline
**Total CN** & The total number of registered members in the CN. \\ \hline
**Active Members** & The number of the active members within the CN. \\ \hline
**Total CN VOs** & Total number of VOs of the CN environment. Includes the VOs that are under operation, the VOs that are in the formation phase and the ones that failed. \\ \hline
**VOs Successfully** & Total number of VOs that have successfully finished within the CN environment. \\ **Finished** & Total number of VOs that are in the phase of operation within the CN environment. \\ \hline
**VOs Under** & Total number of VOs that have failed either in the creation or the operation phase within the CN environment. \\ \hline
**VOs Failed** & Total number of VOs that are in the phase of creation within the CN environment. \\ \hline
**VOs Being** & Total number of VOs that are in the phase of creation within the CN environment. \\ \hline
**CN Performance** & The performance evaluation value of the CN. Represents the assessment of the \\
**Evaluation** & performance of the CN according to a set of performance indicators. \\ \hline
**CN Trust** & The level of trust that is established among the members involved in the CN \\
**CN Trust** & environment according to a pre-defined set of trust criteria. Represents the value of the \\  & trust assessment of all CN members. \\ \hline
**CN Value System** & The measure of the alignment of the value system of the CN with the value systems of all \\
**Alignment** & CN members. \\ \hline
**CN Sharing Ratio** & The ratio of knowledge and resources sharing within the CN. Results from the (sum of \\  & shares per CN members divided by the total CN shares) divided by (the total CN \\  & members). \\ \hline
**CN Informal** & The ratio of informal networks within the CN per CN member. Results from (the sum of \\  & informal networks that a member belongs to divided by the total amount of informal \\  & networks) divided by the (total CN members). \\ \hline
**Communication** & The measure of the overall frequency of interactions amongst members of the CN. \\
**Intensity** & Represents the dynamics of communication within the CN. \\ \hline
**CN Income** & The total earnings of the CN resulting, for instance, both from the members’ fees and the \\  & pre-established percentage of the VOs’ overheads. \\ \hline
**CN Costs and** & The total costs and expenses of the CN. Costs and expenses represent the amount that \\  & must be paid in order to get something, such as specific software or the expenses of \\  & insurance and taxes. \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Definition of the variables of the ANE evidences vector for the ANEA SD model. The CN goals variables that are assumed for the ANEA SD model are those that represent the inner aspirations of the CN in order to be successful and sustainable. According to [PERSON], [PERSON] [48], the areas of Collaborative Networks (CN) and Sustainability are creating synergies that bring benefits for both scientific domains. These synergies are leading to novel areas of application, like the collaborative agribusiness ecosystems [49] or the collaborative networks and ageing [50; 51].