1.6k citations · 4.2k across the 72 of their papers we have counts for
7 papers · 1 filter
Data-driven modelling and characterisation of task completion sequences in online courses
Robert L. Peach, Sam F. Greenbury, Iain G. Johnston +3
The intrinsic temporality of learning demands the adoption of methodologies capable of exploiting time-series information. In this study we leverage the sequence data framework and…
Data-driven unsupervised clustering of online learner behaviour
Robert L. Peach, Sophia N. Yaliraki, David Lefevre +1
The widespread adoption of online courses opens opportunities for the analysis of learner behaviour and for the optimisation of web-based material adapted to observed usage. Here w…
Structured networks and coarse-grained descriptions: a dynamical perspective
Michael T. Schaub, Jean-Charles Delvenne, Renaud Lambiotte +1
This chapter discusses the interplay between structure and dynamics in complex networks. Given a particular network with an endowed dynamics, our goal is to find partitions aligned…
Multiscale dynamical embeddings of complex networks
Michael T. Schaub, Jean-Charles Delvenne, Renaud Lambiotte +1
Complex systems and relational data are often abstracted as dynamical processes on networks. To understand, predict and control their behavior, a crucial step is to extract reduced…
Geometric Multiscale Community Detection: Markov Stability and Vector Partitioning
Zijing Liu, Mauricio Barahona
Multiscale community detection can be viewed from a dynamical perspective within the Markov Stability framework, which uses the diffusion of a Markov process on the graph to uncove…
Community detection and role identification in directed networks: understanding the Twitter network of the care.data debate
B. Amor, S. Vuik, R. Callahan +3
With the rise of social media as an important channel for the debate and discussion of public affairs, online social networks such as Twitter have become important platforms for pu…
Finding role communities in directed networks using Role-Based Similarity, Markov Stability and the Relaxed Minimum Spanning Tree
Mariano Beguerisse-Díaz, Borislav Vangelov, Mauricio Barahona
We present a framework to cluster nodes in directed networks according to their roles by combining Role-Based Similarity (RBS) and Markov Stability, two techniques based on flows.…