Extant research has highlighted the pros and cons of the use of (a) competition and (b)
positive (peer) pressure as two mechanisms for invoking peer effects to bring about long …

Tree-shaped datasets have arisen in various research and industrial fields, such as gene
expression data measured on a cell lineage tree and information spreading on tree-shaped …

Genetic algorithms mimic the process of natural selection in order to solve optimization
problems with minimal assumptions and perform well when the objective function has local …

The DeGroot model for opinion diffusion over social networks dates back to the 1970s and
models the mechanism by which information or disinformation spreads through a network …

Discovering the antecedents of individuals' influence in collaborative environments is an
important, practical, and challenging problem. In this paper, we study interpersonal influence …

Networks are ubiquitous in nature and engineering, with applications in areas such as
modeling power grids, population dynamics, and social networks. Applying network science …

While a variety of options are available for modeling opinion diffusion--the process through
which opinions change and spread through a social network--current methods focus on …

Development of a Genetic Algorithm for Estimation for a DeGroot Opinion Diffusion Model
Page 1 Development of a Genetic Algorithm for Estimation for a DeGroot Opinion Diffusion …

algorithms Article Calibration of an Adaptive Genetic Algorithm for Modeling Opinion
Diffusion Kara Layne Johnson * and Nicole Bohme Carnegie Department of Mathematical …

Networks model complex systems in myriad applications, including social media, finance,
and political systems. In such settings, nodes often represent people, artificial agents, or …