Alumni network analysis

N. Rubens, M. Russell, R. Perez, J. Huhtamäki, Kaisa Still, D. Kaplan, T. Okamoto

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

6 Citations (Scopus)

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
Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationIEEE Global Engineering Education Conference, EDUCON 2011
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages606-611
ISBN (Electronic)978-1-61284-643-9
ISBN (Print)978-1-61284-642-2
DOIs
Publication statusPublished - 2011
MoE publication typeA4 Article in a conference publication
EventIEEE Global Engineering Education Conference, EDUCON 2011 - Amman, Jordan
Duration: 4 Apr 20116 Apr 2011

Conference

ConferenceIEEE Global Engineering Education Conference, EDUCON 2011
Abbreviated titleEDUCON 2011
CountryJordan
CityAmman
Period4/04/116/04/11

Fingerprint

Electric network analysis
Industry
Wages

Keywords

  • Alumni networks
  • engineering
  • entrepreneurship
  • network analysis
  • network visualization
  • university metrics

Cite this

Rubens, N., Russell, M., Perez, R., Huhtamäki, J., Still, K., Kaplan, D., & Okamoto, T. (2011). Alumni network analysis. In Proceedings: IEEE Global Engineering Education Conference, EDUCON 2011 (pp. 606-611). Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/EDUCON.2011.5773200
Rubens, N. ; Russell, M. ; Perez, R. ; Huhtamäki, J. ; Still, Kaisa ; Kaplan, D. ; Okamoto, T. / Alumni network analysis. Proceedings: IEEE Global Engineering Education Conference, EDUCON 2011. Institute of Electrical and Electronic Engineers IEEE, 2011. pp. 606-611
@inproceedings{8dc3adee080d4422b8d1c45f132c21bc,
title = "Alumni network analysis",
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 = "Alumni networks, engineering, entrepreneurship, network analysis, network visualization, university metrics",
author = "N. Rubens and M. Russell and R. Perez and J. Huhtam{\"a}ki and Kaisa Still and D. Kaplan and T. Okamoto",
year = "2011",
doi = "10.1109/EDUCON.2011.5773200",
language = "English",
isbn = "978-1-61284-642-2",
pages = "606--611",
booktitle = "Proceedings",
publisher = "Institute of Electrical and Electronic Engineers IEEE",
address = "United States",

}

Rubens, N, Russell, M, Perez, R, Huhtamäki, J, Still, K, Kaplan, D & Okamoto, T 2011, Alumni network analysis. in Proceedings: IEEE Global Engineering Education Conference, EDUCON 2011. Institute of Electrical and Electronic Engineers IEEE, pp. 606-611, IEEE Global Engineering Education Conference, EDUCON 2011, Amman, Jordan, 4/04/11. https://doi.org/10.1109/EDUCON.2011.5773200

Alumni network analysis. / Rubens, N.; Russell, M.; Perez, R.; Huhtamäki, J.; Still, Kaisa; Kaplan, D.; Okamoto, T.

Proceedings: IEEE Global Engineering Education Conference, EDUCON 2011. Institute of Electrical and Electronic Engineers IEEE, 2011. p. 606-611.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

TY - GEN

T1 - Alumni network analysis

AU - Rubens, N.

AU - Russell, M.

AU - Perez, R.

AU - Huhtamäki, J.

AU - Still, Kaisa

AU - Kaplan, D.

AU - Okamoto, T.

PY - 2011

Y1 - 2011

N2 - 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

AB - 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

KW - Alumni networks

KW - engineering

KW - entrepreneurship

KW - network analysis

KW - network visualization

KW - university metrics

U2 - 10.1109/EDUCON.2011.5773200

DO - 10.1109/EDUCON.2011.5773200

M3 - Conference article in proceedings

SN - 978-1-61284-642-2

SP - 606

EP - 611

BT - Proceedings

PB - Institute of Electrical and Electronic Engineers IEEE

ER -

Rubens N, Russell M, Perez R, Huhtamäki J, Still K, Kaplan D et al. Alumni network analysis. In Proceedings: IEEE Global Engineering Education Conference, EDUCON 2011. Institute of Electrical and Electronic Engineers IEEE. 2011. p. 606-611 https://doi.org/10.1109/EDUCON.2011.5773200