In the past few decades of the development of models of information spread through complex networks it became evident that robust assessment and simulation of such processes seems to be feasible when reorganization of the network is neglected. Social networking sites are a particular case of such complication. Moreover, there are few distinctive features of such platforms as environments for multimodal social networks. For instance, the process of issuing informational messages in such networks unfolds though multiple stages. Since some networks incorporate networking and media features, actors issuing and spreading messages can be represented by individual users and aggregate entities (communities and interest groups). In this paper, we assume that information spread and reorganization of network interact: each new wave of reposts of the original post can extend the network, which influences the probability of information bits to be seen by unaffected vertices of the network.
Dzhafarov, B., Voloshin, D., Petrov, M., & Butakov, N. (2017). Modelling multistage information spreading in dynamic complex networks. In Procedia Computer Science (Vol. 119, pp. 376–385). Elsevier B.V. https://doi.org/10.1016/j.procs.2017.11.197