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Social networks have an important role in an individual's health, with thepropagation of health-related features through a network, and correlationsbetween network structures and symptomatology. Using Bluetooth-enabledsmartphones to measure social connectivity is an alternative to traditionalpaper-based data collection; however studies employing this technology havebeen restricted to limited sets of homogenous handsets. We investigated thefeasibility of using the Bluetooth Low Energy (BLE) protocol, present on users'own smartphones, to measure social connectivity. A custom application wasdesigned for Android and iOS handsets. The app was configured to simultaneouslybroadcast via BLE and perform periodic discovery scans for other nearbydevices. The app was installed on two Android handsets and two iOS handsets,and each combination of devices was tested in the foreground, background andlocked states. Connectivity was successfully measured in all test cases, exceptbetween two iOS devices when both were in a locked state with their screensoff. As smartphones are in a locked state for the majority of a day, thisseverely limits the ability to measure social connectivity on users' ownsmartphones. It is not currently feasible to use Bluetooth Low Energy to mapsocial networks, due to the inability of iOS devices to detect another iOSdevice when both are in a locked state. While the technology was successfullyimplemented on Android devices, this represents a smaller market share ofpartially or fully compatible devices.

Using Bluetooth Low Energy in smartphones to map social networks