Editing Communication and Social Networks (Spring 2021) (section)

= 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 ==

January 19

'''Assignment Due:''' 
* [[/Discord Signup|Sign up for Discord]] and introduce yourself
* Take [https://forms.gle/ANqbnAXxivexukgB7 this very brief survey]

'''Required Readings:''' 
* None

'''Class Schedule:'''
* Class overview and expectations — We'll walk through this syllabus.
* What are networks?
* Why study networks?


January 21

'''Assignment Due:''' 
* Read the entire syllabus (this document)

'''Readings:''' 


'''Class Schedule:'''
* Network simulation activity
* Start work on [[Communication and Social Networks (Spring 2021)/Homework 1|Homework 1]]

== Week 2: Network representations  ==


January 26

'''Assignment Due:''' 
* Install R and RStudio on your computer. [https://techvidvan.com/tutorials/install-r/ This tutorial] should help you to succeed.
* [[Communication and Social Networks (Spring 2021)/Homework 1|Homework 1]]
* [[#Discussion Questions|Discussion questions]] (Due Monday at noon!)

'''Readings (before class):''' 
* James M. Cook, [http://www.umasocialmedia.com/socialnetworks/wp-content/uploads/2016/08/WhatIsASocialNetwork.pdf What is a Social Network?]
* Freeman, L. C. (2000). [https://www.cmu.edu/joss/content/articles/volume1/Freeman.html Visualizing social networks]. Journal of social structure, 1(1), 4.
* Go through [https://ncase.me/polygons/ Parable of the Polygons] by Nicky Case

'''Class Schedule:'''
* Complex systems and networks
* Individual and collective behavior

'''Supplementary Lecture:'''
* [https://purdue.brightspace.com/d2l/le/content/208700/viewContent/5393723/View Network Data and Network Types Lecture] [9:46]

== Week 3: How are communication networks formed? ==


February 2

'''Assignment Due:'''
* [[/R Lab 1|R Lab 1]]
* [https://wiki.communitydata.science/Communication_and_Social_Networks_(Spring_2021)#Discussion_Questions Discussion Questions]

'''Readings:''' 
* Monge, P. R., & Contractor, N. S. (2003). [https://purdue.brightspace.com/d2l/le/content/208700/viewContent/5245859/View Theories of communication networks]. Oxford, UK: Oxford University Press. (pp. 298--314) - On Brightspace under Content > Readings
* Feld, S. L. (1981). [https://www.jstor.org/stable/2778746 The focused organization of social ties]. American Journal of Sociology, 86(5), 1015–1035.
* McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001). [https://www-jstor-org.ezproxy.lib.purdue.edu/stable/2678628 Birds of a Feather: Homophily in Social Networks]. Annual Review of Sociology, 27, 415–444.

''Note:'' This week involves reading two academic articles. [[Communication_and_Social_Networks_(Spring_2021)#Reading_Academic_Articles|Read this]] to understand my expectations and some tips for reading and understanding these articles.

'''Class Schedule:'''
* Exposure, formation, maintenance, decay
* Homophily
* Reciprocity
* Triadic closure

'''Supplementary Lecture:'''
[https://purdue.brightspace.com/d2l/le/content/208700/viewContent/5434794/View Edge Creation][12:43]

== Week 4: Small group networks ==


February 9

'''Assignment Due:'''
* [[#Discussion Questions|Discussion questions]]
* Turn in your [[Self Assessment Reflection]] on Brightspace
* [https://github.com/jdfoote/Communication-and-Social-Networks/raw/spring-2021/week_4/creating_networks.Rmd R Lab 2] (right-click, save to your computer, and open in RStudio)
** [https://purdue.brightspace.com/d2l/le/content/208700/viewContent/5424454/View Homework explanation video]


'''Readings:''' 
* Krackhardt, D., & Hanson, J. R. (1993). [https://hbr.org/1993/07/informal-networks-the-company-behind-the-chart Informal networks: The company behind the chart]. Harvard business review, 71(4), 104-111.
* Katz, N., Lazer, D., Arrow, H., & Contractor, N. (2004). [https://libkey.io/libraries/228/articles/5387888/full-text-file?utm_source=api_559 Network theory and small groups]. Small Group Research, 35(3), 307–332.


'''Class Schedule:'''

== Week 5: Ego networks and network perception ==

February 16

'''Assignment Due:''' 
* [[#Discussion Questions|Discussion questions]]



'''Readings:'''
* [https://purdue.brightspace.com/d2l/le/content/208700/viewContent/5445646/View Ego networks and network perceptions lecture] [17:14]
* 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). [https://www-jstor-org.ezproxy.lib.purdue.edu/stable/2095397 Core Discussion Networks of Americans]. American Sociological Review, 52(1), 122–131.
* [https://hbr.org/2016/05/research-you-have-fewer-friends-than-you-think Research: You Have Fewer Friends than You Think]. (2016, May 12). Harvard Business Review. 
* Smith, E. B., Menon, T., & Thompson, L. (2012). [https://pubsonline-informs-org.ezproxy.lib.purdue.edu/doi/full/10.1287/orsc.1100.0643 Status Differences in the Cognitive Activation of Social Networks]. Organization Science, 23(1), 67–82.



'''Class Schedule:'''

== Week 6: Power, centrality, and hierarchy ==


February 23

'''Assignment Due:''' 
* [https://github.com/jdfoote/Communication-and-Social-Networks/raw/spring-2021/week_6/power_visualization.Rmd R Lab 3] (Right-click, save, open in RStudio, and knit)
* [[#Discussion Questions|Discussion questions]]

'''Readings:''' 
* [https://purdue.brightspace.com/d2l/le/content/208700/viewContent/5477475/View Why R + Programming principles lecture] [12:53]
* [https://purdue.brightspace.com/d2l/le/content/208700/viewContent/5477494/View ggraph explanation video] [12:14]
** [https://jeremydfoote.com/Communication-and-Social-Networks/week_6/ggraph_walkthrough.html webpage for ggraph explanation video]
* 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].
* [https://www.youtube.com/watch?v=0unzqsPaPk8 Centrality measures]. Matthew Jackson. From [https://www.youtube.com/channel/UCCnG8fKY45aH73ahmGK2xcg Social and Economic Networks course]
* [https://www.youtube.com/watch?v=q8oBWwS2wAQ Centrality Eigenvector Measures]. Matthew Jackson
* (Optional) 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:'''

== Week 7: Social Capital, structural holes, and weak ties ==


March 2

'''Assignment Due:''' 
* [[#Discussion Questions|Discussion questions]]

'''Readings:''' 
* [https://purdue.brightspace.com/d2l/le/content/208700/viewContent/5507590/View Capital and Social Capital] [16:02]
* Granovetter, M. S. (1973). [https://www-jstor-org.ezproxy.lib.purdue.edu/stable/2776392?sid=primo&seq=1#metadata_info_tab_contents The Strength of Weak Ties]. American Journal of Sociology, 78(6), 1360–1380. https://doi.org/10.1086/225469
* Kadushin, C. (2012).  [https://ebookcentral.proquest.com/lib/purdue/reader.action?docID=829477&ppg=175 Networks as Social Capital], in Kadushin, C. (2012). Understanding Social Networks. Theories, Concepts and Findings. Oxford: Oxford University Press.
* 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) 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.
* (Optional) 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 Americans’ declining trust in government and each other]. Pew Research Center.
* (Optional) Burt, R. S. (2000). [https://www.sciencedirect.com/science/article/pii/S0191308500220091 The network structure of social capital]. Research in Organizational Behavior, 22, 345–423.

'''Class Schedule:'''

== Week 8: Small worlds  ==

March 9

'''Assignment Due:'''
* Turn in your [[Self Assessment Reflection]] on Brightspace
* [[/Social Search Assignment|Social Search Assignment]]
* [[#Discussion Questions|Discussion questions]] - Just one question this week


'''Readings:''' 
* [https://www.youtube.com/watch?v=TcxZSmzPw8k The Science of Six Degrees of Separation]
* [https://purdue.brightspace.com/d2l/le/content/208700/viewContent/5562533/View Small worlds video] [18:45]
* Travers, J. and Milgram, S. (1969). [https://www-jstor-org.ezproxy.lib.purdue.edu/stable/2786545  An experimental study of the small world problem]. ''Sociometry'', 32(4):425-443
* [https://jeremydfoote.com/Communication-and-Social-Networks/week_6/ggraph_walkthrough.html Introduction to tidygraph and ggraph]. This is a walkthrough that I wrote to help you to figure out how all of the different pieces work in tidygraph and ggraph.
* (Optional but short) Dodds, P. S., Muhamad, R., & Watts, D. J. (2003). [https://science-sciencemag-org.ezproxy.lib.purdue.edu/content/301/5634/827 An Experimental Study of Search in Global Social Networks]. ''Science'', 301(5634), 827.


'''Class Schedule:'''


March 11

Quick discussion about the Visualization Challenge

== Week 9: Scale-free networks and the friendship paradox ==

March 16

'''Assignment Due:''' 
* [[#Discussion Questions|Discussion questions]] (I will pass these along to Dr. Feld)

'''Readings:''' 
* Feld, Scott L. (1991), [https://www-jstor-org.ezproxy.lib.purdue.edu/stable/2781907 Why your friends have more friends than you do]. American Journal of Sociology, 96 (6): 1464–1477. https://doi.org/10.1086%2F229693
* [https://www.youtube.com/watch?v=tP2MLp7GL7Q Early Detection of an Outbreak using the Friendship Paradox]
* [https://www.youtube.com/watch?v=c867FlzxZ9Y Networks are everywhere with Albert-László Barabási]

(Optional)
* Christakis, N. A., & Fowler, J. H. (2010). Social Network Sensors for Early Detection of Contagious Outbreaks. PLOS ONE, 5(9), e12948. https://doi.org/10.1371/journal.pone.0012948


'''Class Schedule:'''
* Guest lecture by Scott Feld (Note that this meeting will be over Zoom; link will be posted in Discord)

== Week 10: Social influence and diffusion ==

March 23

'''Weekly lecture:'''


'''Assignment Due:''' 
* [[Communication and Social Networks (Spring 2021)/Dutch School Data Visualization challenge|Dutch School Data Visualization 
Challenge]]
* [[#Discussion Questions|Discussion questions]]

'''Readings:''' 
* Chapter 4, "[http://everythingisobvious.com/wp-content/themes/eio/assets/EIO_chapter4.pdf Special People]", in Watts, D. J. (2011). Everything is Obvious: Once you know the answer. New York, NY: Crown Business.
* [https://youtu.be/D9XF0QOzWM0 Duncan Watts on Common Sense]
* [Optional] Centola, D., & Macy, M. (2007). [https://www-journals-uchicago-edu.ezproxy.lib.purdue.edu/doi/full/10.1086/521848 Complex Contagions and the Weakness of Long Ties]. American Journal of Sociology, 113(3), 702–734. 
* [Optional] Christakis, N. A., & Fowler, J. H. (2012). [https://onlinelibrary-wiley-com.ezproxy.lib.purdue.edu/doi/full/10.1002/sim.5408 Social contagion theory: Examining dynamic social networks and human behavior]. Statistics in Medicine, 32, 556–577.

'''Other Resources:'''


== Week 11: Communities and Core-periphery ==

March 30

'''Assignment Due:'''
* [[#Discussion Questions|One discussion question for Ryan]]
* Submit two exam questions on Brightspace
* [https://github.com/jdfoote/Communication-and-Social-Networks/raw/spring-2021/week_11/groups_in_networks.Rmd Finding and visualizing groups in networks] (Right-click, save, and open in RStudio). 

'''Readings:'''
* Girvan, M., & Newman, M. E. (2002). [https://www.pnas.org/content/pnas/99/12/7821.full.pdf Community structure in social and biological networks]. Proceedings of the National Academy of Sciences.
* Borgatti, S. P., & Everett, M. G. (2000). [https://libkey.io/libraries/228/articles/6389719/full-text-file?utm_source=api_559 Models of core/periphery structures]. Social Networks.
* Barberá, P., Wang, N., Bonneau, R., Jost, J. T., Nagler, J., Tucker, J., & González-Bailón, S. (2015). [https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0143611 The critical periphery in the growth of social protests]. PLoS ONE.

'''Class Schedule:'''
* Guest Lecture by [https://ryanjgallagher.github.io/ Ryan Gallagher]


April 1

'''Lab Meeting:'''
* Go over the groups visualization homework

== Week 12: Technology and networks ==

April 6


'''Assignment Due:'''
* Turn in your [[Self Assessment Reflection]] on Brightspace
* [[#Discussion Questions|Discussion questions]]


'''Readings:'''
* Pariser, E. [https://www.ted.com/talks/eli_pariser_beware_online_filter_bubbles Beware Online Filter Bubbles]
* Fletcher, R. [https://reutersinstitute.politics.ox.ac.uk/risj-review/truth-behind-filter-bubbles-bursting-some-myths The truth behind filter bubbles: Bursting some myths].
* Bail, C. [https://www.youtube.com/watch?v=nwRm_ssTarE Should we break our echo chambers?]
* Cohen, M. [https://www.psychologytoday.com/intl/blog/finding-love-the-scientific-take/202012/context-collapse Context Collapse]
(Optional)
* Kleinberg, J. (2012). [https://link-springer-com.ezproxy.lib.purdue.edu/chapter/10.1007%2F978-3-642-29952-0_8 The Convergence of Social and Technological Networks]. In M. Agrawal, S. B. Cooper, & A. Li (Eds.), Theory and Applications of Models of Computation.
* Chris Bail, et al. (2018). [https://www.pnas.org/content/115/37/9216 Exposure to opposing views on social media can increase political polarization]. PNAS.

== Week 13: Collective behavior ==

April 13

READING DAY

April 15

'''Assignment Due:'''
* [[#Discussion Questions|One discussion question]]
* Take-home exam
* Keep working on the [[Communication_and_Social_Networks_(Spring_2020)/Final_project | final project]]

'''Readings:'''
* Becker, J., Brackbill, D., & Centola, D. (2017). [https://doi.org/10.1073/pnas.1615978114 Network dynamics of social influence in the wisdom of crowds]. Proceedings of the National Academy of Sciences, 201615978.
* Do [http://ncase.me/crowds/ The Wisdom or Madness of Crowds Simulation]

== Week 14: Networks and collaboration ==

April 20


'''Assignment Due:''' 
* 1 Discussion Question


'''Readings:''' 
* Read the [https://en.wikipedia.org/wiki/The_Wealth_of_Networks Wikipedia Article about The Wealth of Networks]
* Skim section two of Benkler, Y. (2002). [https://www-jstor-org.ezproxy.lib.purdue.edu/stable/1562247 Coase’s Penguin, or, Linux and "The Nature of the Firm."] The Yale Law Journal, 112(3), 369.

April 22

'''Assignment Due:'''
* First draft of [[Communication_and_Social_Networks_(Spring_2020)/Final_project | final project]] to peer for feedback

== Week 15: Networked racism ==

April 27

'''Assignment Due:''' 

* Peer feedback on final project


'''Readings:'''

* Fernandez, R. M., & Fernandez-Mateo, I. (2006). [https://journals-sagepub-com.ezproxy.lib.purdue.edu/doi/pdf/10.1177/000312240607100103 Networks, Race, and Hiring]. American Sociological Review, 71(1), 42–71. '''Read the introduction (pp. 42–47) and the Summary and Conclusion (pp. 65–67)'''
* (Optional) Sunstein, C. R. (1991). Why markets don’t stop discrimination. Social Philosophy and Policy, 8(02), 22–37. https://doi.org/10.1017/S0265052500001114

== Week 16: Finals week  ==


'''Assignment Due:'''
* [[Communication and Social Networks (Spring 2021)/Final project|Final Project]] - Due Thursday, May 6
* Turn in your [[Final self reflection]] on Brightspace


<!-- Bikerack

* Skim [https://kateto.net/network-visualization Static and dynamic network visualization with R] by Katya Ognyanova
* 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://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!
* Troubled Lands Activity
* 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.
* [https://jeremydfoote.com/teaching/2020-spring/comm_and_soc_networks/diffusion_week_10/ Slides]
* [https://youtu.be/5EOHaU_R94o Weekly lecture] on social influence and network diffusion
* [https://youtu.be/sdI-b5mfjH4 Interview with Josh Becker] (skim his article below first).
* [https://youtu.be/d3C2r7gPfBU Great video about homophily in networks]
* [https://youtu.be/MzA12DkQGBw Answering questions about R]
* [https://github.com/jdfoote/Communication-and-Social-Networks/raw/master/activities/school_data_example.Rmd Example with code for the Dutch School assignment]
* [https://www.youtube.com/watch?v=prCmVEUTxQE Video explaining my example]
* [https://youtu.be/mOtVC0N-ItA Networks in Organizations lecture]
-->