Shifting social opinions has far-reaching implications in various aspects, such as public
health campaigns, product marketing, and political candidates. In this paper, we study a …

Structural bias or segregation of networks refers to situations where two or more disparate
groups are present in the network, so that the groups are highly connected internally, but …

We consider the notions of agreement, diversity, and polarization in ordinal elections (that is,
in elections where voters rank the candidates). While (computational) social choice offers …

Most media content consumed today is provided by digital platforms that aggregate input
from diverse sources, where access to information is mediated by recommendation …

Standard machine learning and deep learning architectures have been widely used in the
field of sentiment analysis, but their performance is unsatisfactory if the input texts are short …

In this study, we introduce a novel multilayer network model designed to analyze complex
social phenomena in online communities. The model captures intricate relationships …

Abstract In 1907, Sir Francis Galton independently requested 787 villagers to estimate the
weight of an ox. Although none of them guessed the exact weight, the average estimate was …

The forest matrix plays a crucial role in network science, opinion dynamics, and machine
learning, offering deep insights into the structure of and dynamics on networks. In this paper …

The issue of opinion sharing and formation has received considerable attention in the
academic literature, and a few models have been proposed to study this problem. However …

We study a majority based preference diffusion model in which the members of a social
network update their preferences based on those of their connections. Consider an …