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A large body of literature on social networks in organizations demonstrates that certain types of network topology are optimal. However, little research leverages the ample data created by people‘s electronic communications to refine and verify theories. This gap is problematic, because the literature on organizational networks suffers from the same deficits as much of the social network literature: both tend to be focused on small, static networks. In this study, we mitigate this gap by collecting and mining the largest organizational social network ever collected. We find that not only does the population level topology of social network correlate with performance, attributes of the nodes in a social network such as human capital and status that can be beneficial to work performance. In addition to an individual‘s own human capital and network position, the human capital and status in one‘s network can be instrumental to one‘s success.
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This is to energy and climate what Freakonomics is to economics: an accessible, meaty, by-the-numbers look at the physics and practicalities of energy. MacKay, a Cambridge Physics prof, approaches the subject of carbon and sustainability with a scientific, numeric eye.
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Rails plugin to allow AJAX file upload imitation (via IFRAME).
Posted by: amygdala | April 10, 2009
links for 2009-04-09
Posted in del.icio.us
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