Social network analysis and creative potential

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This presentation is prepared for DALMOOC and talks about the use of social network analysis for understanding of creative potential. The presentation is based on Dawson, S., Tan, J. P. L., & McWilliam, E. (2011). Measuring creative potential: Using social network analysis to monitor a learners' creative capacity. Australasian Journal of Educational Technology, 27(6), 924-942.

Educación

Social Network Analysis and
Creative Potential
Dragan Gašević
@dgasevic

Network brokers associated with
achievement and creativity
Burt, R. S., Kilduff, M., & Tasselli, S. (2013). Social network analysis: foundations and frontiers on advantage. Annual
review of psychology, 64, 527-547, http://faculty.chicagobooth.edu/ronald.burt/research/files/SNA.pdf

Is creative capacity associated with
network brokers hold in education?

Study
Students of medicine (N=76)
Social networks extracted from discussion boards
Learning disposition questionnaire
cognitive playfulness (CP) -> creativity (CP-cr) & curiosity (CP-cu)
Dawson, S., Tan, J. P. L., & McWilliam, E. (2011). Measuring creative potential: Using social network analysis to
monitor a learners' creative capacity. Australasian Journal of Educational Technology, 27(6), 924-942.

Results
Degree Betweenness Closeness
r = 0.334** r = 0.338** r = 0.145
** Correlation is significant at the 0.01 level (2-tailed)
Dawson, S., Tan, J. P. L., & McWilliam, E. (2011). Measuring creative potential: Using social network analysis to
monitor a learners' creative capacity. Australasian Journal of Educational Technology, 27(6), 924-942.

Social network analysis to provide
insights into
the development of creative potential

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Social network analysis and creative potential

1. Social Network Analysis and Creative Potential Dragan Gašević @dgasevic

2. Network brokers associated with achievement and creativity Burt, R. S., Kilduff, M., & Tasselli, S. (2013). Social network analysis: foundations and frontiers on advantage. Annual review of psychology, 64, 527-547, http://faculty.chicagobooth.edu/ronald.burt/research/files/SNA.pdf

3. Is creative capacity associated with network brokers hold in education?

4. Study Students of medicine (N=76) Social networks extracted from discussion boards Learning disposition questionnaire cognitive playfulness (CP) -> creativity (CP-cr) & curiosity (CP-cu) Dawson, S., Tan, J. P. L., & McWilliam, E. (2011). Measuring creative potential: Using social network analysis to monitor a learners' creative capacity. Australasian Journal of Educational Technology, 27(6), 924-942.

5. Results Degree Betweenness Closeness r = 0.334** r = 0.338** r = 0.145 ** Correlation is significant at the 0.01 level (2-tailed) Dawson, S., Tan, J. P. L., & McWilliam, E. (2011). Measuring creative potential: Using social network analysis to monitor a learners' creative capacity. Australasian Journal of Educational Technology, 27(6), 924-942.

6. Social network analysis to provide insights into the development of creative potential

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A quote directly take from Dawson et al. (2011): This study demonstrates that a positive correlation exists between student social network position and the centrality measures of betweenness and degrees. These findings mirror the earlier work of sociologist Ronald Burt (2004) who noted that managers with a high betweenness value were perceived as the more creative individuals within an organisation. In short, Burt's work emphasises the notion that small, tightly formed groups evolve towards a homophilic culture. Individuals who transcend these groups have access to a greater diversity of information, knowledge, and ideas. It is in this context that individuals enact brokering roles and thus build skills that become valuable as creative capital. For instance individuals with high brokerage positions are located in ways that enable networking agility, communication, and the translation of information across network clusters. Importantly these individuals have opportunities to market new ideas or solutions to problems for future uptake or access by the broader social system. Hence, these individuals are more exposed to a diversity of 'good ideas' and information that can be translated and transformed to fulfil the requirements of alternate small world network clusters (Uzzi & Spiro, 2005). Dawson, S., Tan, J. P. L., & McWilliam, E. (2011). Measuring creative potential: Using social network analysis to monitor a learners' creative capacity. Australasian Journal of Educational Technology, 27(6), 924-942.
Connecting with the studies that showed the positive effects on teaching how to recognize structural holes in the workplace setting – and thus, recognize opportunities to broker information flows – this could also be a way to help students developed their creative potential in educational settings. Burt, R. S., Kilduff, M., & Tasselli, S. (2013). Social network analysis: foundations and frontiers on advantage. Annual review of psychology, 64, 527-547, http://faculty.chicagobooth.edu/ronald.burt/research/files/SNA.pdf

Social network analysis and creative potential

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