2nd UK Network Science Workshop

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.

Programme

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)