NetMob19

Awesome, network analysis GitHub - briatte/awesome-network-analysis: A curated list of awesome network analysis resources. github.com/briatte/awesom…

Due to a number of requests, we have decided to extend the deadline for abstract submission. The updated and final deadline is Monday March 25!

This will be a great thing!

The 2019 edition of Netmob is approaching! Submit you abstracts and let's meet in @OxUniMaths !

This is very interesting - Federated Learning: Collaborative Machine Learning without Centralized Training Data research.googleblog.com/2017/04/federa…

Thank you all for this great edition of Netmob in Milano! Thanks to @fcalabre and the @VodafoneIT team for the organization!

Final talk at @netmob17 Daniel @danbjork on how people learn about new technologies using evidence from phone plans in Rwanda

Layers is social interactions for churn prediction presented by @davidecellai at @netmob17

Mobile phone datasets help us to better understand human behavior. @netmob17 #Vodafone #BigData

Predicting device upgrade using data science by Roberto Caporici @VodafoneIT now at @netmob17

"Who calls whom, when & where has a lot applications", Carolina Mattsson on what mobile phone data tells about sudden emergencies @netmob17

Containing disease spreading using spatial network analysis, presented by Stefania Rubrichi @netmob17

Describing land-use in areas using event time series from mobile phone data by Gregor Engelmann @netmob17

Mapping poverty using mobile phone and satellite data by Jessica Steele @netmob17

Detecting evacuation hotspots after a big earthquake with mobile phone data @netmob17 by Takahiro Yabe

Traffic analysis of railways using mobile phone data by Hitoshi Ishizuka of @KDDI_Research at @netmob17

The effect of #PokemonGO on the pulse of the city by @carnby @netmob how to use mobile phone data to understand the effect of new games/apps

Mobile internet usage to understand mobility activity patterns by Yihong Wang @netmob17

Understanding short term mobility in Senegal and Namibia by Svetoslava Milusheva @netmob17

How to get more reliable and accurate traffic models from mobile phone data by Klaas Friso @netmob17