Many diffusion models consider a static network on which a dynamic influence process unfolds. We propose a novel diffusion model for temporal social networks. The proposed model establishes directed and weighted influence relationships between any pair of nodes based on two antagonistic components: first, the susceptibility to be influenced (or, conversely, the inertia to change the status...
Dynamic networks arise from a set of players exchanging temporally ordered interactions. The past configurations of the networks may impact the future ones. The relational event model (REM) entails deepening the underlying dynamics that make the system's players engage each other. Yet, an open-research field concerns the evaluation of the goodness of fit (GOF) of this model, especially when it...
It is widely acknowledged today that music scenes or ‘worlds’ can be analysed as social networks. In most published cases this has meant analysing music worlds as networks of the individuals who participate in them, whether as artists, audience members or ‘support personnel’ (e.g. managers or sound engineers). Such ‘participant networks’ are important and their analysis is often useful and...
