Katayoun Farrahi, Remi Emonet, Alois Ferscha,
"Socio-Technical Network Analysis from Wearable Interactions"
: International Symposium on Wearable Computers (ISWC), 6-2012
Original Titel:
Socio-Technical Network Analysis from Wearable Interactions
Sprache des Titels:
Englisch
Original Buchtitel:
International Symposium on Wearable Computers (ISWC)
Original Kurzfassung:
Wearable sensing platforms like modern smartphones have proven to
be effective means in the complexity and computational social
sciences. This paper draws from explicit (phone calls, SMS
messaging) and implicit (proximity sensing based on Bluetooth
radio signals) interaction patterns collected via smartphones and
reality mining techniques to explain the dynamics of personal
interactions and relationships.
We consider three real human
to human interaction networks, namely physical proximity, phone
communication and instant messaging. We analyze a real
undergraduate community's social circles and consider various
topologies, such as the interaction patterns of users with the
entire community, and the interaction patterns of users within
their own community. We fit distributions of various
interactions, for example, showing that the distribution of users
that have been in physical proximity but have never communicated
by phone fits a gaussian. Finally, we consider five types of
relationships, for example friendships, to see whether
significant differences exist in their interaction patterns. We
find statistically significant differences in the physical
proximity patterns of people who are mutual friends and people
who are non-mutual (or asymmetric) friends, though this
difference does not exist between mutual friends and never
friends, nor does it exist in their phone communication
patterns.
Our findings impact a wide range of data-driven
applications in socio-technical systems by providing
Forschungs-