activity
20092013
most citedDetecting highly overlapping community structure by greedy clique expansion

277 citations · 300 across the 6 of their papers we have counts for

collaborators

7 papers

cs.SI2013★ 1 cited

Link Prediction with Social Vector Clocks

Conrad Lee, Bobo Nick, Ulrik Brandes +1

State-of-the-art link prediction utilizes combinations of complex features derived from network panel data. We here show that computationally less expensive features can achieve th…

cs.SI2013★ 5 cited

Benchmarking community detection methods on social media data

Conrad Lee, Pádraig Cunningham

Benchmarking the performance of community detection methods on empirical social network data has been identified as critical for improving these methods. In particular, while most…

cs.SI2013

Measuring the Significance of the Geographic Flow of Music

Conrad Lee, Aaron McDaid, Pádraig Cunningham

In previous work, our results suggested that some cities tend to be ahead of others in their musical preferences. We concluded that work by noting that to properly test this claim,…

cs.SI2012

The Geographic Flow of Music

Conrad Lee, Pádraig Cunningham

The social media website last.fm provides a detailed snapshot of what its users in hundreds of cities listen to each week. After suitably normalizing this data, we use it to test t…

physics.soc-ph2011★ 16 cited

Seeding for pervasively overlapping communities

Conrad Lee, Fergal Reid, Aaron McDaid +1

In some social and biological networks, the majority of nodes belong to multiple communities. It has recently been shown that a number of the algorithms that are designed to detect…

physics.data-an2010★ 277 cited

Detecting highly overlapping community structure by greedy clique expansion

Conrad Lee, Fergal Reid, Aaron McDaid +1

In complex networks it is common for each node to belong to several communities, implying a highly overlapping community structure. Recent advances in benchmarking indicate that ex…