Zombie politics: evolutionary algorithms to counteract the spread of negative opinions
@article{Hochreiter2020ZombiePE, title={Zombie politics: evolutionary algorithms to counteract the spread of negative opinions}, author={Ronald Hochreiter and Christoph Waldhauser}, journal={Soft Computing}, year={2020}, volume={24}, pages={591-601} }
This paper is about simulating the spread of opinions in a society and about finding ways to counteract that spread. To abstract away from potentially emotionally laden opinions, we instead simulate the spread of a zombie outbreak in a society. The virus causing this outbreak is different from traditional approaches: It not only causes a binary outcome (healthy vs. infected) but rather a continuous outcome. To counteract the outbreak, a discrete number of infection-level-specific treatments are…
3 Citations
Rumor propagation meets skepticism: A parallel with zombies
- PsychologyEPL (Europhysics Letters)
- 2018
A model of rumor spreading in which susceptible, but skeptically oriented individuals may oppose the rumor, showing that when the skepticism is strong enough, the model predicts the coexistence of two fixed points, with the fate of rumors depending on the initial exposure to it.
Skepticism and rumor spreading: The role of spatial correlations.
- PsychologyPhysical review. E
- 2020
A simple model in which agents without previous contact with the rumor may convince spreaders to stop their activity or, once exposed to the rumor, decide not to propagate it as a consequence of fact checking is considered.
The Epidemiology and Statistical Mechanics of Zombies
- Mathematics
- 2018
We use a popular fictional disease, zombies, in order to introduce techniques used in modern epidemiology modelling, and ideas and techniques used in the numerical study of critical phenomena. We…
References
SHOWING 1-10 OF 53 REFERENCES
Rumor propagation meets skepticism: A parallel with zombies
- PsychologyEPL (Europhysics Letters)
- 2018
A model of rumor spreading in which susceptible, but skeptically oriented individuals may oppose the rumor, showing that when the skepticism is strong enough, the model predicts the coexistence of two fixed points, with the fate of rumors depending on the initial exposure to it.
WHEN ZOMBIES ATTACK!: MATHEMATICAL MODELLING OF AN OUTBREAK OF ZOMBIE INFECTION
- Computer Science
- 2009
It is shown that only quick, aggressive attacks can stave off the doomsday scenario: the collapse of society as zombies overtake us all.
Opinion Formation in the Social Web: Agent-Based Simulations of Opinion Convergence and Divergence
- Computer ScienceADMI
- 2011
A model of consensus formation is described that takes into account not only factors leading to convergence of opinions, but also those that strengthen their divergence, and combines the features of epidemic diffusion and cascading models of opinions with simulations.
Fighting Opinion Control in Social Networks via Link Recommendation
- Computer ScienceKDD
- 2019
This work state an NP-hard problem of disabling opinion control attempts via strategically altering the network's users' eigencentralities by recommending a limited number of links to the users through a pseudo-linear-time heuristic based on Markov chain theory.
Influence Maximization in Social Networks When Negative Opinions May Emerge and Propagate
- Computer ScienceSDM
- 2011
This paper proposes an extension to the independent cascade model that incorporates the emergence and propagation of negative opinions, and designs an efficient algorithm to compute influence in tree structures, which is nontrivial due to the negativity bias in the model.
The spreading of opposite opinions on online social networks with authoritative nodes
- Computer Science
- 2013
Maximizing the spread of positive influence in signed social networks
- Computer ScienceIntell. Data Anal.
- 2016
This study proposes a sign-aware cascade model for modeling the effect of both trust and distrust relationships on activation of nodes with positive or negative opinions towards a product in the signed social networks and proves that positive influence maximization is NP-hard in this model.
The Genetic Algorithm as a General Diffusion Model for Social Networks
- Computer ScienceAAAI
- 2010
It is shown that a canonical genetic algorithm with a spatially distributed population, when paired with specific forms of Holland's synthetic hyperplane-defined objective functions, can simulate a large and rich class of diffusion models for social networks.
Opinion Dynamics and Learning in Social Networks
- Computer ScienceDyn. Games Appl.
- 2011
An overview of recent research on belief and opinion dynamics in social networks is provided and the implications of the form of learning, sources of information, and the structure of social networks are discussed.
Simulating the spread of opinions in online social networks when targeting opinion leaders
- BusinessInf. Syst. E Bus. Manag.
- 2013
A new approach which simulates the spread of opinions when influencing certain opinion leaders is presented, which is applied to an online gaming community and provides valuable insights for marketing.