Aim of the workshop
The main aim of the Workshop is to bring together people working and interested in Network Science, and to continue building a strong and diverse community that can facilitate research collaborations, funding applications, and job searches.
The workshop is organised around four talks by eminent academic researchers in the field, that will speak about a range of topics relevant to network science and its applications, and two invited talks by researchers in industry and the public sector, that will showcase the use of network science outside academia.
A special session of the workshop will be dedicated to presentations of current research by PhD students in network science, in the form of lightening talks (3-5 minutes each).
If you are a PhD student willing to showcase your exciting research in network science and its applications, just send a proposed title and a short abstract (two/three sentences) to nicolaperra@gmail.com by October 20th.
1st UK Network Science Workshop (11 May 2018) @ Bristol
Programme up to date on 19 October 2018.
10:00-10:25 Registration, coffee and tea
10:25-10:30 Opening
Invited Academic Talks
10:30-11:00 Naoki Masuda (University of Bristol), A configuration model for correlation matrices
11:00-11:30 Ginestra Bianconi (Queen Mary University of London), Multilayer Networks
11:30-12:00 Coffee break
12:00-12:30 Andrea Baronchelli (City University of London), The Dynamics of Social Norms
12:30-13:00 Elsa Arcaute (UCL), Hierarchical organization of firms in London before and after the financial crash
13:00-14:30 Lunch
14:30-15:30 PhD Lightning Talks
A. Ramadiah (UCL), Evaluating the performance of network models of contagion due to overlapping portfolios
B. Chen (Imperial), Analysis of the Wikipedia Network of Mathematicians
F. Herrerias-Azcue (Uni. of Manchester), Stirring does not make populations well mixed: The effect of motion on fixation prob.
A. Messager (Uni. of Sussex), Functional topology inference from network event
M. Falkenberg (Imperial), Measuring Preferential Attachment in Real Networks: False Assumptions and Misleading Conclusions
I. Iacopini (Queen Mary Uni. London), High-order models of social contagion
A. Santoro (Queen Mary Uni. London), Information-theoretic complexity of multiplex networks
Y. Qian (Queen Mary Uni. London), Geometric deep learning with graphs
M. Garrod (Imperial), Modeling Unobserved Social Networks with Soft Random Geometric Graphs
A. Yehia (City Uni.), Evolutionary dynamics of the cryptocurrecy market
I. P. Bilgin (Reading Uni.), Resilience of Time-varying Functional Brain Networks of Semantic Information Processing
15:30-16:00 Coffee break
Invited Industry/Government Talks
16:00-16:30 Luca M. Aiello (Nokia Bell Labs), The Science of Social Interactions
16:30-17:00 Nicky Zachariou (Government Digital Service), Gov.uk Networks
17:00 Closing and Pub
Registration (no fee): Please do register here.
Venue: Hamilton House, Room HH103
Address:
SE10 9LZ London, United Kingdom
Organizers
Nicola Perra (University of Greenwich, Business School)
Naoki Masuda (University of Bristol, Department of Engineering Mathematics)
Vincenzo Nicosia (Queen Mary University of London, School of Mathematical Sciences)
Funded by Centre for Business Network Analysis
Talk Abstracts (optional)