DocumentCode :
3200887
Title :
Alumni network analysis
Author :
Rubens, Neil ; Russell, Martha ; Perez, Rafael ; Huhtamäki, Jukka ; Still, Kaisa ; Kaplan, Dain ; Okamoto, Toshio
Author_Institution :
Innovation Ecosyst. Network, Stanford Univ., Stanford, CA, USA
fYear :
2011
fDate :
4-6 April 2011
Firstpage :
606
Lastpage :
611
Abstract :
Alumni connections are important resources that contribute to university evaluation. Even though alumni connections represent networks, they have been mostly evaluated as tabular data (e.g. by providing average salary, employment rate, etc.). This ironically disregards all qualities of a network, from which an alumni network gets its name. It is desirable to evaluate an alumni network as a network, because networks have the potential to provide very insightful information. Evaluation of alumni networks as a network has not been feasible in the past due to data fragmentation (neither universities nor companies willing to share meaningfully significant data in its entirety). Recently the feasibility of such analysis has changed, due to new trends towards democratization of information, accelerated by the Web 2.0 user-generated content phenomenon and crowd-sourcing mentality. Utilizing web-crawlers, we actively harvested data and assembled a dataset on alumni in leadership positions in technology-based industries. Moreover, we included a high proportion of startup companies, which allowed us to evaluate alumni networks with respect to entrepreneurial as well as technology involvement. We show that by analyzing alumni connections as networks, it is possible to uncover new patterns, as well as provide a new way of examining the old.
Keywords :
Internet; educational administrative data processing; educational institutions; technology management; Web 2.0 user-generated content phenomenon; Web-crawler; alumni connection; alumni network analysis; crowd-sourcing mentality; data fragmentation; entrepreneurial involvement; information democratization; leadership position; startup company; tabular data; technology involvement; technology-based industry; university evaluation; Companies; Educational institutions; Engineering education; Lead; Measurement; alumni networks; engineering; entrepreneurship; network analysis; network visualization; university metrics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Engineering Education Conference (EDUCON), 2011 IEEE
Conference_Location :
Amman
Print_ISBN :
978-1-61284-642-2
Type :
conf
DOI :
10.1109/EDUCON.2011.5773200
Filename :
5773200
Link To Document :
بازگشت