Alumni Network Analysis


  • [PDF] [html] [presentation] N. Rubens, M. G. Russell, R. Perez, J. Huhtamaki, K. Still, D. Kaplan, and T. Okamoto, “Alumni Network Analysis,” in Global engineering education conference (educon), 2011 ieee, Amman, Jordan, 2011, pp. 606-611.
    [Bibtex]
    @CONFERENCE{rubens-educon-2011-alumni-network-analysis,
    author = {Rubens, Neil and Russell, Martha G. and Perez, Rafael and Huhtamaki,
    Jukka and Still, Kaisa and Kaplan, Dain and Okamoto, Toshio},
    title = {{Alumni Network Analysis}},
    booktitle = {Global Engineering Education Conference (EDUCON), 2011 IEEE},
    year = {2011},
    pages = {606 - 611},
    address = {Amman, Jordan},
    month = {4},
    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.},
    doi = {10.1109/EDUCON.2011.5773200},
    html_file = {alumni-network-analysis-educon-2011},
    impact-presentation-views = {350},
    isbn = {978-1-61284-642-2},
    num_citations = {1},
    num_presentation_views = {700},
    presentation = {http://www.slideshare.net/nrubens/alumni-network-analysis}
    }

    Impact: presentaiton views > 700 # of citations > 1

In collaboration with Innovation Ecosystems Network, Media X, Stanford University


About Neil Rubens

see http://ActiveIntelligence.org

This entry was posted in Project, Research and tagged . Bookmark the permalink.

Leave a Reply

Your email address will not be published. Required fields are marked *

*