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Numerical analysis of a community

Perhaps the most obvious way to benefit from social media analysis is to use it to study the way that individuals and communities behave. It should also make us think …

Local Clustering Co-efficient

Essential knowledge: The Local Clustering Co-efficient tells us how connected the network is around a particular node. The clustering co-efficient is a fraction, representing the number of connections that exist …

Degree and Path Length

Essential knowledge: The degree of a node is the number of connections that it has to other nodes in the network. In a social network if you have 100 friends …

Small World Networks

Essential knowledge: Networks are said to have a Small World property if any two nodes are connected by a short number of hops, typically less than six. This means it …

Scale Free Networks

Essential knowledge: A Scale Free Network is one in which the distribution of links to nodes follows a power law. The power law means that the vast majority of nodes …

Network thinking and Web Science

In this short video, you meet leading Web scientists Professor Dame Wendy Hall and Professor Sir Nigel Shadbolt who discuss the relevance of the study of networks to Web Science. …

What are networks?

Networks are all around us, but have you considered what makes a network, and what shapes and properties they may have? Understanding networks in an abstract way (as nodes and …

Introduction to network properties

Thinking about social media interactions as a network helps us to compare and analyse them. It can tell us about the role that individuals take within the network, explain how …

The power of network thinking

At their heart social media sites and applications are about networks. In this step we will look at the arguments for an increased role of networks in our understanding of …