Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...
Xiaowei Xu, Nurcan Yuruk, Zhidan Feng, Thomas A. J...
In this paper we study asymmetric proximity measures on directed graphs, which quantify the relationships between two nodes or two groups of nodes. The measures are useful in seve...
For much of the industrialized world, network connectivity in the home is commonplace. Despite the large number of networked homes, even the most technically savvy people can have...
We report on the results of a study using SenseCam, a "lifelogging" technology in the form of a wearable camera, which aims to capture data about everyday life in order ...
Abigail Sellen, Andrew Fogg, Mike Aitken, Steve Ho...
This paper describes a research approach to the experimental study of emotional experiences and their connections to other components of user experience in human-technology intera...