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Communication and Social Networks (Spring 2020)
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= Schedule = '''NOTE''' This section will be modified throughout the course to meet the class's needs. Check back in weekly. == Week 1: Introductions and the network perspective == [https://jeremydfoote.com/teaching/2020-spring/comm_and_soc_networks/intro_week1/ Slides] January 14 '''Assignment Due:''' * None '''Required Readings:''' * None '''Class Schedule:''' * Class overview and expectations β We'll walk through this syllabus. January 16 '''Assignment Due:''' * Read the entire syllabus (this document) * Introduce yourself on our Brightspace discussion board * Take this very brief [https://forms.gle/xz7N8KQWo2T2L2f19 survey] '''Readings:''' * [https://books.google.com/books?id=2IIlOf_n43UC&lpg=PP1&pg=PP1#v=onepage&q&f=false Six Degrees, Preface and Chapter 1] '''Class Schedule:''' * Network simulation activity * Start work on [[Communication and Social Networks (Spring 2020)/Homework 1|Homework 1]] == Week 2: Small worlds and scale-free networks == [https://jeremydfoote.com/teaching/2020-spring/comm_and_soc_networks/small_worlds_week2/ Slides] January 21 '''Assignment Due:''' * [[Communication and Social Networks (Spring 2020)/Homework 1|Homework 1]] '''Readings (before class):''' * Six Degrees, Chapter 2 * Travers, J. and Milgram, S. (1969). [https://www.jstor.org/stable/2786545 An experimental study of the small world problem]. ''Sociometry'', 32(4):425-443 * (Optional but short) Dodds, P. S., Muhamad, R., & Watts, D. J. (2003). [https://doi.org/10.1126/science.1081058 An Experimental Study of Search in Global Social Networks]. ''Science'', 301(5634), 827. '''Class Schedule:''' * Complex systems and networks * Individual and collective behavior ** Go through [https://ncase.me/polygons/ Parable of the Polygons] by Nicky Case * Small worlds January 23 '''Assignment Due:''' '''Readings:''' * Six Degrees, Chapter 3 '''Class Schedule:''' * In class activity: [[Communication and Social Networks (Spring 2020)/Six Degrees of Wikipedia Activity|Six Degrees of Wikipedia]] * Begin [[Communication and Social Networks (Spring 2020)/Social Search Assignment|Homework 2]] == Week 3: Social network data and analysis == [https://jeremydfoote.com/teaching/2020-spring/comm_and_soc_networks/network_types_week3/ Slides] January 28 '''Assignment Due:''' * [[Communication and Social Networks (Spring 2020)/Social Search Assignment|Homework 2]] '''Readings:''' * James M. Cook, [http://www.umasocialmedia.com/socialnetworks/wp-content/uploads/2016/08/WhatIsASocialNetwork.pdf What is a Social Network?] '''Class Schedule:''' * Using R for network analysis and visualization * Start work on [[Communication and Social Networks (Spring 2020)/Extended Family Assignment|Homework 3]] January 30 '''Assignment Due:''' * Finish [[Communication and Social Networks (Spring 2020)/Extended Family Assignment|Homework 3]] * Install R and RStudio on your computer if you want to use your computer instead of lab computers. [https://techvidvan.com/tutorials/install-r/ This tutorial] should help you to succeed. '''Readings:''' '''Class Schedule:''' * Work on [https://www.datacamp.com/courses/free-introduction-to-r Introduction to R], chapters 1-3 == Week 4: Continuing introduction to R == [https://jeremydfoote.com/teaching/2020-spring/comm_and_soc_networks/learning_r_week_4/ Slides] February 4 '''Assignment Due:''' * Turn in your [[Self Assessment Reflection]] on Brightspace * Finish [https://www.datacamp.com/courses/free-introduction-to-r Introduction to R], chapters 1-3 '''Readings:''' '''Class Schedule:''' * Show family networks * Introduction to RStudio ** R files - Download [https://raw.githubusercontent.com/jdfoote/Communication-and-Social-Networks/master/activities/r_example.R example file here]. ** R Notebook files - Download [https://raw.githubusercontent.com/jdfoote/Communication-and-Social-Networks/master/activities/r_markdown_example.Rmd example file here]. * Start [https://www.datacamp.com/courses/free-introduction-to-r Introduction to R], chapters 4-5 February 6 '''Assignment Due:''' * Finish [https://www.datacamp.com/courses/free-introduction-to-r Introduction to R], chapters 4-5 '''Readings:''' '''Class Schedule:''' * Start [https://campus.datacamp.com/courses/network-analysis-in-r/ Network Analysis in R], chapter 1 * Use R to create an accurate network image of the family network you created for Homework #3. Include node labels for each family member. ** If you get stuck, [https://youtu.be/isBm5RTslow this video] may help. ** Use [https://kateto.net/network-visualization Static and dynamic network visualization with R] to figure out how to make it look nice! == Week 5: Density, centrality, and power == [https://jeremydfoote.com/teaching/2020-spring/comm_and_soc_networks/centrality_week_5/ Slides] February 11 '''Assignment Due:''' * Finish Network Analysis in R, Chapter 1 * Turn in your best network visualization '''Readings:''' * Hanneman, R. A., & Riddle, M. (2005). Introduction to social network methods. [https://faculty.ucr.edu/~hanneman/nettext/C10_Centrality.html Chapter 10: Centrality and Power] * Healy, K. (2013). [https://kieranhealy.org/blog/archives/2013/06/09/using-metadata-to-find-paul-revere/ Using Metadata to find Paul Revere]. '''Class Schedule:''' February 13 '''Assignment Due:''' '''Readings:''' * Holliday, Audrey, Campbell, & Moore, (2016). [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4898141/ Identifying well-connected opinion leaders for informal health promotion] '''Class Schedule:''' * Guest lecture by [https://cla.purdue.edu/directory/profiles/seungyoon-lee.html Seungyoon Lee] == Week 6: Ego networks and mid-term == [https://jeremydfoote.com/teaching/2020-spring/comm_and_soc_networks/ego_nets_week_6/ Slides] February 18 '''Assignment Due:''' '''Readings:''' * Hanneman, R. A., & Riddle, M. (2005). Introduction to social network methods. University of California. ([https://faculty.ucr.edu/~hanneman/nettext/C9_Ego_networks.html Chapter 9]) * Marsden, P. V. (1987). Core Discussion Networks of Americans. American Sociological Review, 52(1), 122β131. https://doi.org/10.2307/2095397 '''Class Schedule:''' * Introduce ego networks * Review for mid-term February 20 '''In-class midterm exam''' == Week 7: Social Capital, structural holes, and weak ties == [https://jeremydfoote.com/teaching/2020-spring/comm_and_soc_networks/social_capital_week7/ Slides] February 25 '''Assignment Due:''' '''Readings:''' * Granovetter, M. S. (1973). The Strength of Weak Ties. American Journal of Sociology, 78(6), 1360β1380. https://doi.org/10.1086/225469 * (Optional) Bourdieu, P. (1986). [https://www.marxists.org/reference/subject/philosophy/works/fr/bourdieu-forms-capital.htm The forms of capital]. In J. Richardson (Ed.) Handbook of Theory and Research for the Sociology of Education (New York, Greenwood), 241-258. '''Class Schedule:''' February 27 '''Assignment Due:''' '''Readings:''' * Rainie, L. and Perrin, A. (2019). [https://www.pewresearch.org/fact-tank/2019/07/22/key-findings-about-americans-declining-trust-in-government-and-each-other/ Key findings about Americansβ declining trust in government and each other]. Pew Research Center. * Putnam, R.D. (1995). [https://muse.jhu.edu/article/16643 Bowling Alone: America's Declining Social Capital]. Journal of Democracy 6(1), 65-78. * (Optional) Burt, R. S. (2000). [https://www.sciencedirect.com/science/article/pii/S0191308500220091 The network structure of social capital]. Research in Organizational Behavior, 22, 345β423. '''Class Schedule:''' * Troubled Lands Activity == Week 8: More advanced network visualizations == [https://jeremydfoote.com/teaching/2020-spring/comm_and_soc_networks/network_visualization_week8/ Slides] March 3 '''Assignment Due:''' * Turn in your [[Self Assessment Reflection]] on Brightspace * Troubled Lands reflection on Brightspace '''Readings:''' * Freeman, L. C. (2000). [https://www.cmu.edu/joss/content/articles/volume1/Freeman.html Visualizing social networks]. Journal of social structure, 1(1), 4. * Skim [https://kateto.net/network-visualization Static and dynamic network visualization with R] by Katya Ognyanova '''Class Schedule:''' * Finish discussion about social capital * Introduce more advanced visualization methods in R * Begin working through Chapters 2 and 3 [https://campus.datacamp.com/courses/network-analysis-in-r Network Analysis in R] March 5 '''Assignment Due:''' * Finish Chapters 2 and 3 of [https://campus.datacamp.com/courses/network-analysis-in-r Network Analysis in R] '''Readings:''' '''Class Schedule:''' * Answer questions about DataCamp * Review principles of good network visualizations * Find and assess networks visualizations ([https://padlet.com/jdfoote1/networks padlet is here]) * Begin visualization challenge ** Right click on [https://github.com/jdfoote/Communication-and-Social-Networks/raw/master/activities/network_visualization_examples_and_assignment.Rmd THIS LINK], save it, and open it in RStudio. == Week 9: Tie formation and decay == [https://jeremydfoote.com/teaching/2020-spring/comm_and_soc_networks/tie_formation_week_9/ Slides] March 10 '''Assignment Due:''' * Summary and questions for Dr. Feld '''Readings:''' * Feld, S. L. (1981). [https://www.jstor.org/stable/2778746 The focused organization of social ties]. American Journal of Sociology, 86(5), 1015β1035. * Feld, S., Knighton, D., and McGail, A. (forthcoming). [https://purdue.brightspace.com/d2l/le/content/7389/viewContent/519954/View Reflections On 'The Focused Organization of Social Ties' And Its Implications For Bonding and Bridging]. In Personal Networks: Frontiers of Ego-Network Analysis. Edited by Mario Small, Ned Smith, Brea Perry, and Bernice Pescosolido. Oxford University Press. '''Class Schedule:''' * Guest lecture by Scott Feld March 13 '''Assignment Due:''' '''Readings:''' * Monge, P. R., & Contractor, N. S. (2003). [https://purdue.brightspace.com/d2l/le/content/7389/Home Theories of communication networks]. Oxford, UK: Oxford University Press. (pp. 298--314) - On Brightspace under Content > Readings '''Class Schedule:''' * Review tie formation and decay * Revisit R and network visualizations == March 17, 19: SPRING BREAK == '''Spring Break: No Class''' Have a great Spring Break!
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