Topic Networks and User Networks — An Overview

Social network analysis leverages graph theory to map and analyse relationships between users (user networks) or concepts and content (topic networks). Let us first explore these two types of networks in the context of social media.

User Networks

Social platforms are based on user connections—users following each other, interacting, or sharing content. For instance, Twitter users follow other users, creating directed relationships where one user follows another but may not necessarily be followed back. These directed relationships form a network of connections that can reveal patterns of influence and communication.

Topic Networks

Topic networks are built from the co-occurrence of concepts within content. For example, on Pinterest, if two topics appear together in a Pin description, they are linked to one another in a network. Such networks can help identify trending topics and uncover how information flows between different themes or concepts.

Pinterest as a Case Example — Understanding Content-Centric Networks

Pinterest is a powerful example of a platform where users are primarily connected through shared interests. With over 400 million monthly active users globally, Pinterest facilitates the creation of topic networks — communities formed around common content rather than direct user-to-user connections.

Users interact with ideas, images, and information, creating networks that map their relationships through the content they share. By analysing Pinterest’s structure, we can see how communities with shared interests are formed based on the topics they follow and pin to their boards.