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Alumni Network Analysis

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Alumni Network Analysis

  1. 1. Alumni Network Analysis<br />Innovation Ecosystem Network, Media X, Stanford University<br />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. <br />
  2. 2. University Rankings<br />Lists of institutions in higher education, ordered by combinations of factors.<br />Significantly affects colleges' applications and admissions (Bowman & Bastedo, 2010).<br />
  3. 3. University Rankings & Alumni Networks<br /> Alumni outcomes are a likely (if not inevitable) component of university ranking systems in the future. Any metrics around this would have to provide a quantitative (or rank ordered) proxy for categories such as<br />alumni network value <br />alumni influence<br />(Dan Guhr, Illuminate Consulting Group)<br />
  4. 4. Alumni Networks<br />A network of social and business connections among the alumni (wiki).<br />Increases the value and importance of building relationships with alumni, students, staff and faculty (Haas, Berkeley). <br />http://www.intelalumni.org/about/<br />
  5. 5. Limitations of Traditional Rankings<br />Traditional rankings do not capture well the ‘network’ properties of alumni networks.<br />
  6. 6. Challenges<br />Need cross institutional, cross company data.<br />This data is rarely shared.<br />IEN Dataset (based on socially constructed data)<br />Updated quarterly with rapid growth each quarter<br />2,100 educational institutions <br />5,800 personal educational affiliations<br />focuses on people in leadership/entrepreneurial roles<br />Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Leveraging Social Media for Analysis of Innovation Players and Their Moves” <br />Technical Report. Media X, Stanford University, Feb.2010.<br />Martha <br />
  7. 7. Intra University Networks<br />Characteristics<br />entrepreneurship<br /># companies / # alumni<br />collaboration patterns<br />(cross vs singular)<br />network flow<br />
  8. 8. Inter-University Network<br />Characteristics<br />Clustering<br />universities (in the lower left corner) <br />financials (in the upper right corner) <br />Distance:<br />between universities<br />between university and financials<br />between university and alumni<br />
  9. 9. University-Company Network<br />Characteristics<br />Different from Inter-University Network<br />Preferential attachment / proximity<br />between Universities-Companies<br />
  10. 10. Comparison<br />w/o University Node<br />w/ University Node<br />Characteristics<br />“well connected” alumni are well connected with or without the university node<br />University can significantly impact connectedness of less connected alumni<br />University with good network potential can differentiate itself from other universities.<br />
  11. 11. w/o University Node<br />w/ University Node<br />Characteristics<br />* Developed university network is a great equalizer: closeness centrality, eccentricity<br />* The degree to which university develops its network can change its characteristics.<br />
  12. 12. Conclusion<br />Alumni Networks are networks, so should be analyzed as such.<br />Developing alumni networks can have significant positive impact<br />for both alumni and universities.<br />
  13. 13. References<br />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. <br />For more information see: <br />http://www.innovation-ecosystems.org/2010/12/01/alumni-networks/<br />http://activeintelligence.org/blog/archive/alumni-network-analysis/<br />Network Visualization: Gephi<br />Network Analysis: Gephi , JUNG, NetworkX<br />
  14. 14. The Innovation Ecosystems Network (IEN) brings together an international interdisciplinary team that seeks to develop and diffuse novel data and tools for understanding the catalytic impact of regional ICT experiments.<br />http://www.innovation-ecosystems.org<br />

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