activity
19972023
most citedSynchronization in small-world systems

1.6k citations · 4.2k across the 72 of their papers we have counts for

collaborators
Showing 2015Show all

6 papers · 1 filter

q-bio.NC2015★ 68 cited

Flow-based network analysis of the Caenorhabditis elegans connectome

Karol A. Bacik, Michael T. Schaub, Mariano Beguerisse-Díaz +2

We exploit flow propagation on the directed neuronal network of the nematode Caenorhabditis elegans to reveal dynamically relevant features of its connectome. We find flow-based gr…

cs.SI2015★ 2 cited

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…

physics.soc-ph2015★ 45 cited

The 'who' and 'what' of #diabetes on Twitter

Mariano Beguerisse-Díaz, Amy K. McLennan, Guillermo Garduño-Hernández +2

Social media are being increasingly used for health promotion, yet the landscape of users, messages and interactions in such fora is poorly understood. Studies of social media and…

physics.soc-ph2015★ 31 cited

Great cities look small

Aaron Sim, Sophia N Yaliraki, Mauricio Barahona +1

Great cities connect people; failed cities isolate people. Despite the fundamental importance of physical, face-to-face social-ties in the functioning of cities, these connectivity…

physics.soc-ph2015★ 408 cited

Random Walks, Markov Processes and the Multiscale Modular Organization of Complex Networks

Renaud Lambiotte, Jean-Charles Delvenne, Mauricio Barahona

Most methods proposed to uncover communities in complex networks rely on combinatorial graph properties. Usually an edge-counting quality function, such as modularity, is optimized…

q-bio.NC2015★ 61 cited

Emergence of slow-switching assemblies in structured neuronal networks

Michael T. Schaub, Yazan N. Billeh, Costas A. Anastassiou +2

Unraveling the interplay between connectivity and spatio-temporal dynamics in neuronal networks is a key step to advance our understanding of neuronal information processing. Here…