IDEAS home Printed from https://ideas.repec.org/a/nos/voprob/2013i4p85-126.html
   My bibliography  Save this article

Social Networks Research in Higher Education

Author

Listed:
  • Susan Biancani
  • Daniel McFarland

Abstract

Susan Biancani - Research Fellow, School of Education, Stanford University. E-mail: biancani@standford.eduDaniel A. McFarland - Research Fellow, School of Education, Stanford University. E-mail: mcfarland@stanford.eduAddress: School of Education, Stanford University, 485 Lasuen Mall, Stanford, CA 94305, USA.This chapter describes the literature on social networks in higher education from both an analytical and empirical perspective. The literature is organized in such a way: Descriptive work, work that uses networks as a dependent variable, and work that uses networks as an independent variable. Several important questions are investigated in this literature, including students attitudes on race, factors influencing student achievement, and the role online social networks play in students lives. Homophily and propinquity play important roles in promoting ties between individuals - here, friendship ties among students. At the same time, the effects of homophily can be overcome: additional exposure to classmates from different backgrounds makes students more likely to form friendships that cross racial, ethnic, and socioeconomic boundaries. Moreover, this additional exposure also may promote more open-minded attitudes among students toward classmates of different races than their own. Interestingly, one key mechanism in overcoming the effect of homophily is propinquity: Being roommates or dorm-mates with diverse others increases the likelihood of becoming friends with them. Scholarship has also demonstrated that a strong set of connections to classmates is important for students success and happiness in school. While the literature on student social networks in institutions of higher education provides numerous useful insights, the field remains fragmented. In part, this is because the field lacks broad, synthetic works that integrate these multiple perspectives.DOI: 10.17323/1814-9545-2013-4-85-126

Suggested Citation

  • Susan Biancani & Daniel McFarland, 2013. "Social Networks Research in Higher Education," Educational Studies, Higher School of Economics, issue 4, pages 85-126.
  • Handle: RePEc:nos:voprob:2013:i:4:p:85-126
    as

    Download full text from publisher

    File URL: https://vo.hse.ru/data/2014/02/15/1328109460/Biancani.indd_085.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. David N. Laband & Robert D. Tollison, 2000. "Intellectual Collaboration," Journal of Political Economy, University of Chicago Press, vol. 108(3), pages 632-661, June.
    2. Heinze, Thomas & Bauer, Gerrit, 2006. "Characterizing creative scientists in nano S & T: productivity, multidisciplinarity, and network brokerage in a longitudinal perspective," Discussion Papers "Innovation Systems and Policy Analysis" 11, Fraunhofer Institute for Systems and Innovation Research (ISI).
    3. Peter Lindelöf & Hans Löfsten, 2004. "Proximity as a Resource Base for Competitive Advantage: University--Industry Links for Technology Transfer," The Journal of Technology Transfer, Springer, vol. 29(3_4), pages 311-326, August.
    4. Gulbrandsen, Magnus & Smeby, Jens-Christian, 2005. "Industry funding and university professors' research performance," Research Policy, Elsevier, vol. 34(6), pages 932-950, August.
    5. Murray, Fiona, 2004. "The role of academic inventors in entrepreneurial firms: sharing the laboratory life," Research Policy, Elsevier, vol. 33(4), pages 643-659, May.
    6. Murray, Fiona, 2002. "Innovation as co-evolution of scientific and technological networks: exploring tissue engineering," Research Policy, Elsevier, vol. 31(8-9), pages 1389-1403, December.
    7. Perc, Matjaž, 2010. "Growth and structure of Slovenia’s scientific collaboration network," Journal of Informetrics, Elsevier, vol. 4(4), pages 475-482.
    8. Arcidiacono, Peter & Nicholson, Sean, 2005. "Peer effects in medical school," Journal of Public Economics, Elsevier, vol. 89(2-3), pages 327-350, February.
    9. Giorgio Brunello & Maria De Paola & Vincenzo Scoppa, 2010. "Peer Effects In Higher Education: Does The Field Of Study Matter?," Economic Inquiry, Western Economic Association International, vol. 48(3), pages 621-634, July.
    10. Stinebrickner, Ralph & Stinebrickner, Todd R., 2006. "What can be learned about peer effects using college roommates? Evidence from new survey data and students from disadvantaged backgrounds," Journal of Public Economics, Elsevier, vol. 90(8-9), pages 1435-1454, September.
    11. Tomassini, Marco & Luthi, Leslie, 2007. "Empirical analysis of the evolution of a scientific collaboration network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 385(2), pages 750-764.
    12. van der Leij Marco & Goyal Sanjeev, 2011. "Strong Ties in a Small World," Review of Network Economics, De Gruyter, vol. 10(2), pages 1-22, June.
    13. Owen-Smith, Jason & Powell, Walter W., 2003. "The expanding role of university patenting in the life sciences: assessing the importance of experience and connectivity," Research Policy, Elsevier, vol. 32(9), pages 1695-1711, October.
    14. Pierre Azoulay & Joshua S. Graff Zivin & Jialan Wang, 2010. "Superstar Extinction," The Quarterly Journal of Economics, Oxford University Press, vol. 125(2), pages 549-589.
    15. Scott E. Carrell & Richard L. Fullerton & James E. West, 2009. "Does Your Cohort Matter? Measuring Peer Effects in College Achievement," Journal of Labor Economics, University of Chicago Press, vol. 27(3), pages 439-464, July.
    16. Rodriguez, Marko A. & Pepe, Alberto, 2008. "On the relationship between the structural and socioacademic communities of a coauthorship network," Journal of Informetrics, Elsevier, vol. 2(3), pages 195-201.
    17. Yar M. Ebadi & James M. Utterback, 1984. "The Effects of Communication on Technological Innovation," Management Science, INFORMS, vol. 30(5), pages 572-585, May.
    18. Sorenson, Olav & Fleming, Lee, 2004. "Science and the diffusion of knowledge," Research Policy, Elsevier, vol. 33(10), pages 1615-1634, December.
    19. Mary J. Culnan, 1986. "The Intellectual Development of Management Information Systems, 1972--1982: A Co-Citation Analysis," Management Science, INFORMS, vol. 32(2), pages 156-172, February.
    20. David S. Lyle, 2007. "Estimating and Interpreting Peer and Role Model Effects from Randomly Assigned Social Groups at West Point," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 289-299, May.
    21. Ding, Ying, 2011. "Scientific collaboration and endorsement: Network analysis of coauthorship and citation networks," Journal of Informetrics, Elsevier, vol. 5(1), pages 187-203.
    22. Patrick Doreian & Anuška Ferligoj & Luka Kronegger, 2011. "On the dynamics of national scientific systems: a reply," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(5), pages 1025-1029, August.
    23. Barabási, A.L & Jeong, H & Néda, Z & Ravasz, E & Schubert, A & Vicsek, T, 2002. "Evolution of the social network of scientific collaborations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 311(3), pages 590-614.
    24. Leydesdorff, Loet & Wagner, Caroline S., 2008. "International collaboration in science and the formation of a core group," Journal of Informetrics, Elsevier, vol. 2(4), pages 317-325.
    25. Dietz, James S. & Bozeman, Barry, 2005. "Academic careers, patents, and productivity: industry experience as scientific and technical human capital," Research Policy, Elsevier, vol. 34(3), pages 349-367, April.
    26. David J. Zimmerman, 2003. "Peer Effects in Academic Outcomes: Evidence from a Natural Experiment," The Review of Economics and Statistics, MIT Press, vol. 85(1), pages 9-23, February.
    27. Park, Han Woo & Leydesdorff, Loet, 2010. "Longitudinal trends in networks of university-industry-government relations in South Korea: The role of programmatic incentives," Research Policy, Elsevier, vol. 39(5), pages 640-649, June.
    28. Waverly W. Ding & Sharon G. Levin & Paula E. Stephan & Anne E. Winkler, 2010. "The Impact of Information Technology on Academic Scientists' Productivity and Collaboration Patterns," Management Science, INFORMS, vol. 56(9), pages 1439-1461, September.
    29. Luka Kronegger & Anuška Ferligoj & Patrick Doreian, 2011. "On the dynamics of national scientific systems," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(5), pages 989-1015, August.
    30. Motohashi, Kazuyuki, 2005. "University-industry collaborations in Japan: The role of new technology-based firms in transforming the National Innovation System," Research Policy, Elsevier, vol. 34(5), pages 583-594, June.
    31. Bruce Sacerdote, 2001. "Peer Effects with Random Assignment: Results for Dartmouth Roommates," The Quarterly Journal of Economics, Oxford University Press, vol. 116(2), pages 681-704.
    32. Nick Haslam & Simon Laham, 2009. "Early-career scientific achievement and patterns of authorship: the mixed blessings of publication leadership and collaboration," Research Evaluation, Oxford University Press, vol. 18(5), pages 405-410, December.
    33. Amy Metcalfe, 2006. "The Corporate Partners of Higher Education Associations: A Social Network Analysis," Industry and Innovation, Taylor & Francis Journals, vol. 13(4), pages 459-479.
    34. Fontana, Roberto & Geuna, Aldo & Matt, Mireille, 2006. "Factors affecting university-industry R&D projects: The importance of searching, screening and signalling," Research Policy, Elsevier, vol. 35(2), pages 309-323, March.
    35. Lee, Yong S, 2000. "The Sustainability of University-Industry Research Collaboration: An Empirical Assessment," The Journal of Technology Transfer, Springer, vol. 25(2), pages 111-133, June.
    36. Baker, Sara & Mayer, Adalbert & Puller, Steven L., 2011. "Do more diverse environments increase the diversity of subsequent interaction? Evidence from random dorm assignment," Economics Letters, Elsevier, vol. 110(2), pages 110-112, February.
    37. Rigby, J. & Edler, J., 2005. "Peering inside research networks: Some observations on the effect of the intensity of collaboration on the variability of research quality," Research Policy, Elsevier, vol. 34(6), pages 784-794, August.
    38. Franceschet, Massimo & Costantini, Antonio, 2010. "The effect of scholar collaboration on impact and quality of academic papers," Journal of Informetrics, Elsevier, vol. 4(4), pages 540-553.
    39. Wagner, Caroline S. & Leydesdorff, Loet, 2005. "Network structure, self-organization, and the growth of international collaboration in science," Research Policy, Elsevier, vol. 34(10), pages 1608-1618, December.
    40. Melin, Goran, 2000. "Pragmatism and self-organization: Research collaboration on the individual level," Research Policy, Elsevier, vol. 29(1), pages 31-40, January.
    41. Lambiotte, R. & Panzarasa, P., 2009. "Communities, knowledge creation, and information diffusion," Journal of Informetrics, Elsevier, vol. 3(3), pages 180-190.
    42. Foster, Gigi, 2006. "It's not your peers, and it's not your friends: Some progress toward understanding the educational peer effect mechanism," Journal of Public Economics, Elsevier, vol. 90(8-9), pages 1455-1475, September.
    43. Bozeman, Barry & Corley, Elizabeth, 2004. "Scientists' collaboration strategies: implications for scientific and technical human capital," Research Policy, Elsevier, vol. 33(4), pages 599-616, May.
    44. Mayer, Adalbert & Puller, Steven L., 2008. "The old boy (and girl) network: Social network formation on university campuses," Journal of Public Economics, Elsevier, vol. 92(1-2), pages 329-347, February.
    45. repec:dau:papers:123456789/1095 is not listed on IDEAS
    46. Domenico De Stefano & Giuseppe Giordano & Maria Vitale, 2011. "Issues in the analysis of co-authorship networks," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(5), pages 1091-1107, August.
    47. Hayashi, Takayuki, 2003. "Effect of R&D programmes on the formation of university-industry-government networks: comparative analysis of Japanese R&D programmes," Research Policy, Elsevier, vol. 32(8), pages 1421-1442, September.
    48. Balconi, Margherita & Breschi, Stefano & Lissoni, Francesco, 2004. "Networks of inventors and the role of academia: an exploration of Italian patent data," Research Policy, Elsevier, vol. 33(1), pages 127-145, January.
    49. Audretsch, David B & Stephan, Paula E, 1996. "Company-Scientist Locational Links: The Case of Biotechnology," American Economic Review, American Economic Association, vol. 86(3), pages 641-652, June.
    Full references (including those not matched with items on IDEAS)

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nos:voprob:2013:i:4:p:85-126. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ekaterina Bagdasarova). General contact details of provider: http://vo.hse.ru/en/ .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.