Influence of trust in the spreading of information
arXiv:1606.01688 · doi:10.1103/PhysRevE.95.012301
Abstract
The understanding and prediction of information diffusion processes on networks is a major challenge in network theory with many implications in social sciences. Many theoretical advances occurred due to stochastic spreading models. Nevertheless, these stochastic models overlooked the influence of rational decisions on the outcome of the process. For instance, different levels of trust in acquaintances do play a role in information spreading, and actors may change their spreading decisions during the information diffusion process accordingly. Here, we study an information-spreading model in which the decision to transmit or not is based on trust. We explore the interplay between the propagation of information and the trust dynamics happening on a two-layer multiplex network. Actors' trustable or untrustable states are defined as accumulated cooperation or defection behaviors, respectively, in a Prisoner's Dilemma set up, and they are controlled by a memory span. The propagation of information is abstracted as a threshold model on the information-spreading layer, where the threshold depends on the trustability of agents. The analysis of the model is performed using a tree approximation and validated on homogeneous and heterogeneous networks. The results show that the memory of previous actions has a significant effect on the spreading of information. For example, the less memory that is considered, the higher is the diffusion. Information is highly promoted by the emergence of trustable acquaintances. These results provide insight into the effect of plausible biases on spreading dynamics in a multilevel networked system.
9 pages, 5 figures, to appear in Physical Review E
References in corpus (19)
- Epidemic spreading in scale-free networks
- Evolutionary games on graphs
- The Dynamics of Viral Marketing
- Dynamical interplay between awareness and epidemic spreading in multiplex networks
- Dynamics of Rumor Spreading in Complex Networks
- Evolutionary game theory: Temporal and spatial effects beyond replicator dynamics
- Virality Prediction and Community Structure in Social Networks
- Competing spreading processes on multiplex networks: awareness and epidemics
- Evolution of public cooperation on interdependent networks: The impact of biased utility functions
- Multiplexity-facilitated cascades in networks
- Small world yields the most effective information spreading
- Analysis of complex contagions in random multiplex networks
- Spreading gossip in social networks
- The unreasonable effectiveness of tree-based theory for networks with clustering
- Threshold cascades with response heterogeneity in multiplex networks
- Threshold-limited spreading in social networks with multiple initiators
- Cascades in multiplex financial networks with debts of different seniority
- Strategical incoherence regulates cooperation in social dilemmas on multiplex networks
- Systemic risk in multiplex networks with asymmetric coupling and threshold feedback