MaE! A Service for Supporting People Meeting at Events

XAVIER, Wender Zacarias, SILVEIRA, Mateus P, CAETANO, Josemar A., MARQUES-NETO, Humberto Torres

Abstract

Analyzing human mobility and network services during some events can support governments and the private sector in providing high-quality services. Non-routine workloads generated during such events can lead to overload of the infrastructure, and it can also create difficulties for planning and acquiring data for analysis. This work presents the MaE! service, which has features to assist in locating friends Event and Movement, getting data about services used by the attendees My Talks and network load DataSignal. Moreover, MaE! represents a useful alternative for getting relevant data of users during events to characterize some patterns during such events for understanding human mobility in a city.