The focus today is on network and spatial analysis. Network analysis is particularly important in research that focuses on community-level phenomena, both as predictors of individual outcomes and as the basis for building stronger communities. Another common application is to use network analysis to identify members of networks (individuals, households, businesses, organizations) for which there is no sampling frame (no list). The networks in which we participate have major effects on what we do, think and believe. Spatial analysis is especially important with regard to understanding how places (community, neighborhood, states) interact with each other and the outcomes of those interactions.

Network and Spatial Analysis

I have assigned articles to six individuals this week. Check the Week 15 -- April 15 Class Session discussion board in Canvas to see if you have an assignment. In case anyone needs it, here are the instructions for completing a review.

Bernard, PP. 274-278 and 447-463 is a major scholar in the use of social network analysis.

Andris, C. (2016) Integrating social network data into GISystems. International Journal of Geographical Information Science 30(10), 2009-2031. DOI: 10.1080/13658816.2016.1153103.

Craddock, J., Rice, E., Thoades, H., Winetrobbe, H. Craddock, J.B. (2016) Are parental relationships always protective? A social network analysis of Black, Latino and White homeless youth and sexual risk-taking behaviors. Prevention Science 17(8):914-924. DOI: 10.1007/s11121-016-0684-x.

Esparcia, J. & Serrano, J.J. (2016) Analysing social networks in rural development: A gender approach. International Review of Social Research 6(4):206-220. DOI: 10.1515/irsr-2016-0023.

Folch, D.C., Arribas-Bel, D., Koschinsky, J. & Spielman, S.E. (2016) Spatial variation in the quality of American Community Survey estimates. Demography 53:535-1554. DOI 10.1007/s13524-016-0499-1

Fuente, Irene Molina-de la; Pastor, Andrea; Conde, Paloma; Vazquez, Maria Sandin; Ramos, Carmen; Bosque-Prous, Marina; Franco,Manuel; Sureda, Xisca. (2021) Changes in perceptions of the alcohol environment among participants in a Photovoice project conducted in two districts with different socio-economic status. PLoS ONE 16(8):1-14. DOI: 10.1371/journal.pone.0254978.

Guerrero, A. M.; Barnes, M.; Bodin, Ö.; Chadès, I.; Davis, K. J.; Iftekhar, M. S.; Morgans, C.; Wilson, K. A. (2020) Key considerations and challenges in the application of social-network research for environmental decision making. Conservation Biology. 34(3):733-742. DOI: 10.1111/cobi.13461.

Halford, Susan, Weal, Mark, Tinati, Ramine, Carr, Les Pope, Catherine. (2018) Understanding the production and circulation of social media data: Towards methodological principles and praxis. New Media & Society, 20(9):3341-3358. DOI: 10.1177/1461444817748953

Hill, Jonathan P. (2013) Rejecting evolution: The role of religion, education, and social networks. Journal for the Scientific Study of Religion 53(3):575-594. DOI: 10.1111/jssr.12127.

Hoe, C., Adhikari, B., Glandon, D., Das, A. et al. (2019) Using social network analysis to plan, promote and monitor intersectoral collaboration for health in rural India. PLoS One 14(7):1-12. DOI: 10.1371/journal.pone.0219786.

Hoffman, M., Steinley, D., Gates, K.M., Prinstein, M.J. & Brusco, M.J. (2018) Detecting clusters / communities in social networks. Multivariate Behavioral Research 53(1):57-73. DOI: 10.1080/00273171.2017.1391682.

Hung, L.S., Wang, C. & Yarnal, B. (2016) Vulnerability of families and households to natural hazards: A case study of storm surge flooding in Sarasota County, Florida. Applied Geography 76:184-197. DOI: 10.1016/j.apgeog.2016.09.021

Jaja, J., Dawson, J. & Gaudet, J. (2017) Using social network analysis to examine the role that institutional integration plays in community-based adaptive capacity to climate change in Caribbean small island countries. Local Environment 22(4), 424-442. DOI: 10.1080/13549839.2016.1213711.

Liao, C., Brown, d., Fei, d., Long, X., Chen, D. & Che, S. (2018) Big data-enabled social sensing in spatial analysis: Potentials and pitfalls. Transactions in GIS 22:1351-1371. DOI: 10.1111/tgis.12483

Lulewicz, J. (2019) The social networks and structural variation of Mississipppian sociopolitics n the southeastern United States. Proc. National Academy of Sciences of the United States of America. 116(14):6707-6712. DOI: 10.1073/pnas.1818346116.

Lumino, R., Ragozzini, G. & Vitale, M.P. (2016) Investigating social support patterns of single mothers from a social network perspective. International Review of Social Research 6(7):182-194. DOI: 10.1515/irsr-2016-0021.

McGlashan, J., Nichols, M., Korn, A., Milar, L., Marks, J. et al. (2018) Social network analysis of stakeholder networks from two community-based obesity prevention interventions. PLoS ONE 13(4):1-11. DOI: 10.1371/journal.pone.0196211.

MacLean, Sarah A.; Agyeman, Priscilla O.; Singer, Elizabeth K.; Baranowski, Kim A.; Katz, Craig L. (2021) Perspectives on Working with Immigrants Held in Detention Using Photovoice. Psychiatric Quarterly 92(2):793-802. DOI: 10.1007/s11126-020-09853-z.

Miller, Brian J.; Mundey, Peter. (2020) Emerging SNS use: The importance of social network sites for older American emerging adults. Journal of Youth Studies 23(5):613-630. DOI: 10.1080/13676261.2019.1636010.

Weinstein, L.C.; Chilton, M.; Turchi, R. et al. (2021) “It’s common sense than an individual must eat”: Advocating for food justice with people with psychiatric disabilities through photovoice. Health Expectations 24:161-173. DOI:10.1111/hex.13101

Zjang, Q., Batinge, B. (2021) A social network analysis of the structure and evolution of intra-African trade. African Development Review 33(1):204-217. doi:10.1111/1467-8268.12506