The purpose of this research is to develop a research model that examines the impact of mobile social capital on technology adoption through IT artifact Influence. To do so, we suggest that mobile networks of practice as social actors affect technology use through the userIT artifact interaction in which mobile social capital lies, thus differentiating it from social capital and bestowing uniqu...

The recent technological developments on mobile technologies allied with the growing computational capabilities of sensing enabled devices have given rise to mobile sensing systems that can target community level problems. These systems are capable of inferring intelligence from acquired raw sensed data, through the use of data analysis techniques. However, due to their recent advent, associate...

Temporal social networks are characterized by heterogeneous duration of contacts, which can either follow a power-law distribution, such as in face-to-face interactions, or a Weibull distribution, such as in mobile-phone communication. Here we model the dynamics of face-to-face interaction and mobile phone communication by a reinforcement dynamics, which explains the data observed in these diff...

Aalto University, P.O. Box 11000, FI-00076 Aalto www.aalto.fi Author Lauri Kovanen Name of the doctoral dissertation Computational analysis of large and time-dependent social networks Publisher School of Science Unit Department of Biomedical Engineering and Computational Science Series Aalto University publication series DOCTORAL DISSERTATIONS 81/2013 Field of research Manuscript submitted 12 F...