Epidemic spreading on evolving signed networks
arXiv:1607.06782 · doi:10.1103/PhysRevE.95.022314
Abstract
Most studies of disease spreading consider the underlying social network as obtained without the contagion, though epidemic influences people's willingness to contact others: A "friendly" contact may be turned to "unfriendly" to avoid infection. We study the susceptible-infected disease-spreading model on signed networks, in which each edge is associated with a positive or negative sign representing the friendly or unfriendly relation between its end nodes. In a signed network, according to Heider's theory, edge signs evolve such that finally a state of structural balance is achieved, corresponding to no frustration in physics terms. However, the danger of infection affects the evolution of its edge signs. To describe the coupled problem of the sign evolution and disease spreading, we generalize the notion of structural balance by taking into account the state of the nodes. We introduce an energy function and carry out Monte Carlo simulations on complete networks to test the energy landscape, where we find local minima corresponding to the so-called jammed states. We study the effect of the ratio of initial friendly to unfriendly connections on the propagation of disease. The steady state can be balanced or a jammed state such that a coexistence occurs between susceptible and infected nodes in the system.
References in corpus (15)
- Statistical physics of social dynamics
- Epidemic processes in complex networks
- Epidemic dynamics on an adaptive network
- Theory of Rumour Spreading in Complex Social Networks
- Dynamics of Social Balance on Networks
- Analysis of a continuous-time model of structural balance
- Memory effects on epidemic evolution: The susceptible-infected-recovered epidemic model
- The energy landscape of social balance
- The Heider balance - a continuous approach
- Dynamical Models Explaining Social Balance and Evolution of Cooperation
- Fragmentation versus Stability in Bimodal Coalitions
- Active influence in dynamical models of structural balance in social networks
- Emergent Behaviors over Signed Random Dynamical Networks: State-Flipping Model
- Extreme variability in convergence to structural balance in frustrated dynamical systems
- Complex ordering in spin networks: Critical role of adaptation rate for dynamically evolving interactions
Cited by in corpus (21)
- Mean-field solution of structural balance dynamics in nonzero temperature
- Homophily based on few attributes can impede structural balance
- Phase transition in a network model of social balance with Glauber dynamics
- Glassy states of aging social networks
- Social Clustering in Epidemic Spread on Coevolving Networks
- Quartic Balance Theory: Global Minimum With Imbalanced Triangles
- Threshold cascade dynamics on signed random networks
- Heider Balance under Disordered Triadic Interactions
- Competitive Balance Theory: Modeling conflict of interest in a heterogeneous network
- Absorbing transition in a coevolution model with node and link states in an adaptive network: Network fragmentation transition at criticality
- Mean-Field Solution for Critical Behavior of Signed Networks in Competitive Balance Theory
- Heider and coevolutionary balance: From discrete to continuous phase transition
- Co-evolution of Viral Processes and Structural Stability in Signed Social Networks
- Hybrid balance theory: Heider balance under higher order interactions
- Modified Heider Balance on Sparse Random Networks
- Social Balance on Networks: Local Minima and Best Edge Dynamics
- Coevolutionary Dynamics of Group Interactions: Coevolving Nonlinear Voter Models
- Response of the competitive balance model to the external field
- Instability of social network dynamics with stubborn links
- The emergence of pseudo-stable states in network dynamics
- Dynamics of Social Balance on Networks: The Emergence of Multipolar Societies