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Editor Login
Convener in chief:
David Lazer
(Methodology, Networked Governance)
Editors:
Stanley Wasserman
(Current Trends, Methodology, Social Networks)
Guy Stuart
(Economic Sociology, Finance)
Allan Friedman
(Simulations)
Nathan Eagle
(Technology, Social Computing, Powerlaws, Current Trends)
Ben Waber
(Technology, Social Computing) Ines Mergel
(Knowledge Sharing, Social Computing, Social Software, Current Trends)
Maria Binz-Scharf
(Qualitative Methodology, Knowledge Sharing, eGovernment)
Alexander Schellong
(Admin, eGovernment, Citizen Relationship Management)
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Recent Entries
- Next steps for the Obama network...
- Social Media vs. Knowledge Management
- Pentland on Honest Signals on November 24
- 311: The Next Wave" - Harvard online event 11/13/08
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- Fun with numbers: did Obama redraw the political map?
- manipulation of intrade
Recent Comments
- Re: Longitudinal Data and the Adoption of Technology
By: Jeff Boase
Date: Feb 12, 2006 9:52 PM - Re: Longitudinal Data and the Adoption of Technology
By: David Lazer
Date: Feb 12, 2006 9:24 PM
Notification
« The Strength of Weak Ties Revisited - A Practical Example | Main | The genetic basis (?) of political orientations »
12 February 2006
Longitudinal Data and the Adoption of Technology
I've spent this last week working on a paper with Kakuko Miyata and Barry Wellman. The paper uses longitudinal survey data collected in Japan to understand the causal relationship between the use of keitai (internet enabled mobile phones) and the reception of social support. This is one of the first opportunities that I've had to write a paper based on longitudinal data, and I'm thoroughly enjoying the experience. In addition to providing me with an understanding of the causal relationship between the technology and social behavior, the data is also allowing me to chart the adoption of a new technology, as it has become integrated into lives a general public. This experience has made me wonder about the extent to which the adoption of keitai is the result of a social network structure that is more prevalent in Japan than in countries. My hope is that more longitudinal studies of this nature will be conducted in different countries, so that I might someday better understand the extent to which adoption patterns are the result of differences in network structure, vs. other factors, such as culture, marketing, or investment in technological infrastructure.
Posted by Jeff Boase at February 12, 2006 8:30 PM
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