A webapp and repository for multilayer networks LASAGNE Project Meeting 6-7 Nov 2014, QMUL The LASAGNE Multilayer Network Translation Framework Matt Williams, Mirco Musolesi University of Birmingham
LASAGNE Multilayer Data Tools • Common format for multilayer network data within LASAGNE • Common format for algorithms • Dissemination to broader multi* research community
Implemented Connectors Noordin Top Terrorist Network Human Brain Connectivity Flight Routes Online Multiplayer Game 45 subjects, obtained via CNRS Subset obtained via MUW
Translation Framework Web Browser Web Server (Apache) Application Server (LMTF) Translation Working Storage Dataset Repository Job Queue & Dispatcher (beanstalk) http e-mail (smtp) • LMF data packaged as ZIP archive • Delivery via e-mail (URL to ZIP archive) or in-browser
LMF Data Repository • Public repository of many multilayer network datasets, stored in LASAGNE data formats • Available as direct download • Current datasets: OpenFlights Routes Noordin Top Terrorist Networks
Outlook • LMF: LASAGNE Multilayer Network Format • LMTF: LASAGNE Multilayer Network Translation Framework ‣ Command line tools for translation ‣ Webapp for translation • Connectors so far – testing the framework • Open-source – encourage third party connectors • Ready for dissemination to community
Opportunities • Call for more data sources! ‣ New connectors, for variety of types of multilayer dataset ‣ Especially: non-aligned, non-diagonal, time-varying, weighted ‣ Connectors for standard data formats: Gephi GEXF, ... • Expand multilayer network dataset repository • Suggestions very welcome! Propose a dataset, we’ll write a connector! • Collaborate on tools and algorithms for this format
Translation framework: Command-line tools and connectors: http://pizza.cs.bham.ac.uk/lmtf https://github.com/nsds/LMTF-Tools https://github.com/nsds/LMTF Source code to be available
A webapp and repository for multilayer networks The LASAGNE Multilayer Network Translation Framework Matt Williams, Mirco Musolesi University of Birmingham With thanks to... LMTF contributors: Victor Darvariu, Kevin Pomorski, Demet Turan Data providers: CNRS, MUW M.J.Williams @cs.bham.ac.uk