Abstract
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--
While the study of
social networks enjoys a long and
rich tradition, particularly in the fields of sociology and anthropology,
it has only recently grown in popularity among IS researchers interested in
applying established social network theories to online environments. Social
network theory is built on the premise that social behavior cannot be fully understood
without considering the underlying structure (i.e., the pattern of connections)
of the network in which an actor is embedded.
While seminal studies have shown that social network structure explains
why people make certain political voting choices (Lazarsfeld et al., 1948),
adopt particular innovations (Rogers 1962), or get promoted faster than others
(Burt 1992), the field has always struggled to validate its legitimacy due to
data collection issues. Due to
the increasing availability of trace data, i.e., electronic records of who
interacts with whom through digitally-enabled
platforms such as Facebook, Twitter, and Second Life as well email, phone, and
wiki communications, IS researchers are now being drawn to the social network
tradition. The accessibility and sheer volume of trace datasets offers the
potential for deep insights into the causes and results of social behavior that
were previously not possible (Watts 2007).
| Original language | English (Ireland) |
|---|---|
| Journal | Information Systems Journal |
| Volume | 23 |
| Issue number | 6 |
| Publication status | Published - 1 Jul 2013 |
Authors (Note for portal: view the doc link for the full list of authors)
- Authors
- Whelan, E., R. Teigland, E. Vaast, and B. Butler