On the dual nature of adoption processes in complex networks

TL;DR

This paper explores the dual nature of adoption processes in complex networks, integrating social contagion and exploration models to better understand how items and behaviors spread and are discovered within interconnected systems.

Contribution

It introduces a unified perspective viewing social spreading and exploration as two complementary aspects of the same adoption process, highlighting new research challenges.

Findings

Overview of existing social spreading and exploration models

Proposal of a dual approach combining both processes

Identification of new research directions in network science

Abstract

Adoption processes in socio-technological systems have been widely studied both empirically and theoretically. The way in which social norms, behaviors, and even items such as books, music, or other commercial or technological product spread in a population is usually modeled as a process of social contagion, in which the agents of a social system can infect their neighbors on the underlying network of social contacts. More recently, various models have also been proposed to reproduce the typical dynamics of a process of discovery, in which an agent explores a space of relations between ideas or items in search for novelties. In both types of processes, the structure of the underlying networks, respectively, the network of social contacts in the first case, and the network of relations among items in the second one, plays a fundamental role. However, the two processes have been traditionally seen and studied independently. Here, we provide a brief overview of the existing models of social spreading and exploration and of the latest advancements in both directions. We propose to look at them as two complementary aspects of the same adoption process: on the one hand, there are items spreading over a social network of individuals influencing each other, and on the other hand, individuals explore a network of similarities among items to adopt. The two-fold nature of the approach proposed opens up new stimulating challenges for the scientific community of network and data scientists. We conclude by outlining some possible directions that we believe may be relevant to be explored in the coming years.