Editing Communication and Social Networks (Spring 2021)
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= Course Information = | = Course Information = | ||
:'''COM 411: Communication and Social Networks''' | :'''COM 411: Communication and Social Networks''' | ||
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:'''Instructor:''' [https://jeremydfoote.com Jeremy Foote] | :'''Instructor:''' [https://jeremydfoote.com Jeremy Foote] | ||
:'''Email:''' jdfoote@purdue.edu | :'''Email:''' jdfoote@purdue.edu | ||
:''' | :'''Office Hours:''' Thursdays; 3:00-5:00pm and by appointment | ||
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= Course Overview and Learning Objectives = | = Course Overview and Learning Objectives = | ||
Communication is inherently a social process. This class focuses on understanding how the structure of relationships between people influence communication patterns and behavior. This perspective can help us to understand a broad set of phenomena, from online communities to friendships to businesses | Communication is inherently a social process. This class focuses on understanding how the structure of relationships between people influence communication patterns and behavior. This perspective can help us to understand a broad set of phenomena, from online communities to friendships to businesses. | ||
Students who complete this course will be able to: | Students who complete this course will be able to: | ||
# Understand the foundations of social network theory and analysis. | # Understand the foundations of social network theory and analysis. | ||
# Critically read and comprehend concepts, results, and implications presented in studies of social networks. | # Critically read and comprehend concepts, results, and implications presented in studies of social networks. | ||
# Learn how networks are related to social phenomena | # Learn how networks are related to the social phenomena of their own interests. | ||
# Gain a basic understanding of gathering network data and analyzing them using the programming language R. | # Gain a basic understanding of gathering network data and analyzing them using the programming language R. | ||
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== Laptop == | == Laptop == | ||
We will be meeting in a computer lab and you are welcome to use the lab computers for the in-class work that we are doing. In addition, I have ensured that the software we are using is also installed in the lab in the basement of Beering. If you choose to use your own computer, you need a machine with at least 2GB of memory. Windows, Mac OS, and Linux are all fine but an iPad or Android tablet won't work. | |||
== Readings == | == Readings == | ||
* Required | * Required text: '''[https://smile.amazon.com/Six-Degrees-Science-Connected-Market Six Degrees: The Science of a Connected Age]''' by Duncan Watts. I will list required chapters in the weekly notes below. | ||
* Other readings: Other readings will be made available on | * Other readings: Other readings will be made available on Blackboard. | ||
== | == Additional readings and resources == | ||
* Barabasi, A-‐L. (2002). Linked: The new science of networks. Cambridge, MA: Perseus. | |||
* Hanneman, R. A., & Riddle, M. (2005). Introduction to social network methods. Riverside, CA: University of California, Riverside (available at http://faculty.ucr.edu/~hanneman/nettext/) | |||
* Scott, J. (2000). Social network analysis: A handbook (2nd edition). London: Sage Publications. | |||
= Course logistics = | = Course logistics = | ||
== Note About This Syllabus == | == Note About This Syllabus == | ||
Although the core expectations for this class are fixed, the details of readings and assignments may shift based on how the class goes. As a result, there are three important things to keep in mind: | This is my first time teaching this course and this syllabus will be a dynamic document. Although the core expectations for this class are fixed, the details of readings and assignments may shift based on how the class goes. As a result, there are three important things to keep in mind: | ||
# Although details on this syllabus will change, I will not change readings or assignments less than one week before they are due. If I don't fill in a "''To Be Determined''" one week before it's due, it is dropped. If you plan to read more than one week ahead, contact me first. | # Although details on this syllabus will change, I will not change readings or assignments less than one week before they are due. If I don't fill in a "''To Be Determined''" one week before it's due, it is dropped. If you plan to read more than one week ahead, contact me first. | ||
# Closely monitor | # Closely monitor your email. Because this a wiki, you will be able to track every change by clicking the ''history'' button on this page. I will also summarize these changes in an announcement that will be emailed to everybody in the class. | ||
# I will ask the class for voluntary anonymous feedback frequently. Please let me know what is working and what can be improved. | # I will ask the class for voluntary anonymous feedback frequently. Please let me know what is working and what can be improved. | ||
== | == Office hours and email == | ||
* I will hold office hours Thursday afternoons and by appointment. If you come with a programming question, I will expect that you have already tried to solve it yourself in multiple ways and that you have discussed it with at least two classmates. This policy lets me have time to help more students, but it's also a useful strategy. Often [https://en.wikipedia.org/wiki/Rubber_duck_debugging just trying to explain your code] can help you to recognize where you've gone wrong. | |||
* I am also available by email. You can reach me at [mailto:jdfoote@purdue.edu jdfoote@purdue.edu]. I try hard to maintain a boundary between work and home and I typically respond only on weekdays during business hours (~9-5) but during the week I will generally respond within 24 hours. | |||
= Assignments = | = Assignments = | ||
''Note'': Edited after the move to online classes to remove second exam and explain final project. | |||
There will be multiple types of assignments, designed to encourage learning in different ways. | There will be multiple types of assignments, designed to encourage learning in different ways. | ||
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To make sure that everyone has an opportunity to participate and to encourage you to do the assignments, I will randomly select students to discuss readings or to explain portions of homework assignments and labs. | To make sure that everyone has an opportunity to participate and to encourage you to do the assignments, I will randomly select students to discuss readings or to explain portions of homework assignments and labs. | ||
I will also create discussion spaces on Brightspace. I encourage you to use that space to discuss the readings and homeworks. I know that some people prefer text communication to talking in class and I expect those who are quieter in class to be more active on Brightspace. | |||
== Homework/Labs == | == Homework/Labs == | ||
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== Exams == | == Exams == | ||
There will be one in-class exam, approximately | There will be one in-class exam, approximately one-third through the semester. It will assess your understanding of core communication and social networks concepts. | ||
'''NOTE''': Before the move to online classes, there were two exams. The points from the second exam will not be moved to the final project. | |||
== Final Project == | == Final Project == | ||
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Students will work on a [[Communication_and_Social_Networks_(Spring_2020)/Final project|Final Project]] that explains how network analysis and a network approach can benefit an organization. | Students will work on a [[Communication_and_Social_Networks_(Spring_2020)/Final project|Final Project]] that explains how network analysis and a network approach can benefit an organization. | ||
I made a [https://www.youtube.com/watch?v=S3eX8Jn2dJI video explaining the project]. | |||
= Grades = | = Grades = | ||
Most of this course will follow a "self-assessment" philosophy. I am more interested in helping you to learn things that will be useful to you than in assigning grades. The university still requires grades, so you will be leading the evaluation of your work. This will be completed with me in four stages, at the end of weeks 4, 8, 12, and 16. In each stage, you will use [[Self Assessment Reflection|this form]] to reflect on what you have accomplished thus far, how it has met, not met, or exceeded expectations, based both on rubrics and personal goals and objectives. At each of these stages you will receive feedback on your assessments. By the end of the semester, you should have a clear vision of your accomplishments and growth, which you will turn into a grade. As the instructor-of-record, I maintain the right to disagree with your assessment and alter grades as I see fit, but any time that I do this it will be accompanied by an explanation and discussion. These personal assessments, reflecting both honest and meaningful reflection of your work will be the most important factor in final grades. | |||
The university still requires grades, so you will be leading the evaluation of your work. This will be completed with me in four stages, at the end of weeks 4, 8, 12, and 16. In each stage, you will use [[Self Assessment Reflection|this form]] to reflect on what you have accomplished thus far, how it has met, not met, or exceeded expectations, based both on rubrics and personal goals and objectives. At each of these stages you will receive feedback on your assessments. By the end of the semester, you should have a clear vision of your accomplishments and growth, which you will turn into a grade. As the instructor-of-record, I maintain the right to disagree with your assessment and alter grades as I see fit, but any time that I do this it will be accompanied by an explanation and discussion. These personal assessments, reflecting both honest and meaningful reflection of your work will be the most important factor in final grades. | |||
We will use the following rubric in our assessment: | We will use the following rubric in our assessment: | ||
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* 20%: class participation, including attendance and participation in discussions and group work | * 20%: class participation, including attendance and participation in discussions and group work | ||
* 20%: Labs and homework assignments | * 20%: Labs and homework assignments | ||
* | * 30%: Exam | ||
* | * 30%: Final Project | ||
The exam will be graded like a normal exam and the score will make up | The exam will be graded like a normal exam and the score will make up 30% of your grade. For the rest of the assignments (and the other 70% of your grade), I will provide feedback which will inform an ongoing conversation about your work. | ||
My interpretation of grade levels (A, B, C, D/F) is the following: | My interpretation of grade levels (A, B, C, D/F) is the following: | ||
A: Reflects work the exceeds expectations on multiple fronts and to a great degree. Students reaching this level of achievement will: | A: Reflects work the exceeds expectations on multiple fronts and to a great degree. Students reaching this level of achievement will: | ||
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== Extra Credit for Participating in Research Studies == | == Extra Credit for Participating in Research Studies == | ||
The Brian Lamb School of Communication uses an online program that expedites the process of recruiting, signing up, and granting extra credit to students for participating in research studies. The program is called the Research Participation System, and it provides an easy online method for you to sign up for research studies, to keep track of the studies you have completed, and to view how many credits you have earned for each study. You can access the system online at any time, from any computer with a standard web browser. By participating in studies done within the Brian Lamb School of Communication, you can learn first hand how a study is conducted, you can contribute to the advancement of the field, and you can improve your grade by earning extra credit. | |||
* You earn a ½ percent credit for every half-hour that you participate in a study. The maximum extra credit that you can earn for this course is 3%, which will be added to your total course points | |||
* If you sign up to participate in a study and fail to show up without canceling your appointment in advance (up to 2 hours before the study), you can be restricted from signing up for any studies for 30 days. You may quickly cancel your appointment online using the Research Participation System. | |||
* Please review the instructions before you sign up for studies; to view the instructions go to https://www.cla.purdue.edu/communication/research/participation/students.html | * Please review the instructions before you sign up for studies; to view the instructions go to https://www.cla.purdue.edu/communication/research/participation/students.html | ||
* You can sign up to participate in studies by logging into http://purdue-comm.sona-systems.com/. | * You can sign up to participate in studies by logging into http://purdue-comm.sona-systems.com/. | ||
= Schedule = | = Schedule = | ||
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== Week 1: Introductions and the network perspective == | == Week 1: Introductions and the network perspective == | ||
January | [https://jeremydfoote.com/teaching/2020-spring/comm_and_soc_networks/intro_week1/ Slides] | ||
January 14 | |||
'''Assignment Due:''' | '''Assignment Due:''' | ||
* | * None | ||
'''Required Readings:''' | '''Required Readings:''' | ||
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'''Class Schedule:''' | '''Class Schedule:''' | ||
* Class overview and expectations — We'll walk through this syllabus. | * Class overview and expectations — We'll walk through this syllabus. | ||
January | January 16 | ||
'''Assignment Due:''' | '''Assignment Due:''' | ||
* Read the entire syllabus (this document) | * Read the entire syllabus (this document) | ||
* Introduce yourself on our Brightspace discussion board | |||
* Take [https://forms.gle/ANqbnAXxivexukgB7 this very brief survey] | |||
'''Readings:''' | '''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:''' | '''Class Schedule:''' | ||
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* Start work on [[Communication and Social Networks (Spring 2021)/Homework 1|Homework 1]] | * Start work on [[Communication and Social Networks (Spring 2021)/Homework 1|Homework 1]] | ||
== Week 2: | == Week 2: Small worlds and scale-free networks == | ||
[https://jeremydfoote.com/teaching/2020-spring/comm_and_soc_networks/small_worlds_week2/ Slides] | |||
January | January 21 | ||
'''Assignment Due:''' | '''Assignment Due:''' | ||
* [[Communication and Social Networks (Spring 2021)/Homework 1|Homework 1]] | * [[Communication and Social Networks (Spring 2021)/Homework 1|Homework 1]] | ||
'''Readings (before class):''' | '''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:''' | '''Class Schedule:''' | ||
* Complex systems and networks | * Complex systems and networks | ||
* Individual and collective behavior | * 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 2021)/Six Degrees of Wikipedia Activity|Six Degrees of Wikipedia]] | ||
* Begin [[Communication and Social Networks (Spring 2021)/Social Search Assignment|Homework 2]] | |||
== Week 3: | == 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:''' | '''Assignment Due:''' | ||
* [[/ | * [[Communication and Social Networks (Spring 2021)/Social Search Assignment|Homework 2]] | ||
'''Readings:''' | '''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 2021)/Extended Family Assignment|Homework 3]] | |||
January 30 | |||
'''Assignment Due:''' | |||
* Finish [[Communication and Social Networks (Spring 2021)/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:''' | '''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 | February 6 | ||
'''Assignment Due:''' | '''Assignment Due:''' | ||
* | * Finish [https://www.datacamp.com/courses/free-introduction-to-r Introduction to R], chapters 4-5 | ||
'''Readings:''' | '''Readings:''' | ||
'''Class Schedule:''' | '''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 | February 11 | ||
'''Assignment Due:''' | '''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:''' | '''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:''' | '''Class Schedule:''' | ||
* Guest lecture by [https://cla.purdue.edu/directory/profiles/seungyoon-lee.html Seungyoon Lee] | |||
== Week 6: | == Week 6: Ego networks and mid-term == | ||
[https://jeremydfoote.com/teaching/2020-spring/comm_and_soc_networks/ego_nets_week_6/ Slides] | |||
February | February 18 | ||
'''Assignment Due:''' | '''Assignment Due:''' | ||
'''Readings:''' | '''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), 122–131. https://doi.org/10.2307/2095397 | |||
* Hanneman, R. A., & Riddle, M. (2005). Introduction to social network methods. [https://faculty.ucr.edu/~hanneman/nettext/ | |||
* | |||
'''Class Schedule:''' | '''Class Schedule:''' | ||
* Introduce ego networks | |||
* Review for mid-term | |||
February 20 | |||
'''In-class midterm exam''' | |||
== Week 7: Social Capital, structural holes, and weak ties == | == 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:''' | '''Assignment Due:''' | ||
'''Readings:''' | '''Readings:''' | ||
* Granovetter, M. S. (1973). The Strength of Weak Ties. American Journal of Sociology, 78(6), 1360–1380. https://doi.org/10.1086/225469 | |||
* Granovetter, M. S. (1973). | * (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 Americans’ 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. | * 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, 345–423. | * (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:''' | '''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 | March 3 | ||
'''Assignment Due:''' | '''Assignment Due:''' | ||
* Turn in your [[Self Assessment Reflection]] on Brightspace | * 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:''' | '''Readings:''' | ||
'''Class Schedule:''' | '''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), 1015–1035. | |||
* 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 | March 13 | ||
'''Assignment Due:''' | '''Assignment Due:''' | ||
'''Readings:''' | '''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:''' | '''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! | |||
= Online Schedule = | |||
From now on, we will be moving to an online learning format. While I would love to do a video chat version of the class, I know that members of the class are now in different time zones, with different responsibilities and stresses. In order to allow the class to fit into your schedule, we are going to make all assignments asynchronous. | |||
The tentative plan is to have two things due every week: an assignment plus a video response on our [https://flipgrid.com/com411 Flipgrid page]. These will both be due by Friday (although I encourage you to stay engaged on FlipGrid and post videos as you work on things). | |||
=== Slack === | |||
We're also going to be using Slack to communicate - please [https://join.slack.com/t/com114-2020/shared_invite/zt-d8tya9ma-7LQ7vJ8Safk3GH9XJscATQ Join our Slack channel] and ask your questions there. | |||
=== Office Hours === | |||
I will hold virtual office hours Tuesdays and Thursdays from 1-2 pm at [https://meet.jit.si/JeremyOffice https://meet.jit.si/JeremyOffice] | |||
== Week 10: Social influence and diffusion == | == Week 10: Social influence and diffusion == | ||
March | March 27 | ||
'''Weekly lecture:''' | '''Weekly lecture:''' | ||
* [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). | |||
'''Assignment Due:''' | '''Assignment Due:''' | ||
* [[Communication and Social Networks (Spring 2021)/Dutch School Data Visualization challenge|Dutch School Data Visualization | * [[Communication and Social Networks (Spring 2021)/Dutch School Data Visualization challenge|Dutch School Data Visualization | ||
Challenge]] | Challenge]] | ||
* [ | * Do [http://ncase.me/crowds/ The Wisdom or Madness of Crowds Simulation] and discuss on Flipgrid. | ||
'''Readings:''' | '''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. | * 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:// | * 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. | ||
* [Optional] Centola, D., & Macy, M. (2007). [https:// | * [Optional] Centola, D., & Macy, M. (2007). [https://doi.org/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). | * [Optional] Christakis, N. A., & Fowler, J. H. (2012). Social contagion theory: Examining dynamic social networks and human behavior. Statistics in Medicine, 32, 556–577. | ||
'''Other Resources:''' | '''Other Resources:''' | ||
* [https://youtu.be/d3C2r7gPfBU Great video about homophily in networks] | |||
* [https://youtu.be/D9XF0QOzWM0 Duncan Watts on Common Sense] | |||
* [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] | |||
== Week 11: Cliques, clans, and groups in networks == | |||
April 3 | |||
'''Weekly lecture:''' | |||
* [https://youtu.be/6cIe5qSRoSE Groups and communities]; Also goes over the assignment (no slides) | |||
'''Assignment Due:''' | '''Assignment Due:''' | ||
* [https://github.com/jdfoote/Communication-and-Social-Networks/raw/master/activities/groups_in_networks.Rmd Finding and visualizing groups in networks] (Right-click, save, and open in RStudio). I go over the document in the YouTube video. | |||
* Flipgrid response | |||
* [https://github.com/jdfoote/Communication-and-Social-Networks/raw/ | |||
'''Readings:''' | '''Readings:''' | ||
* | * Hanneman, R. A., & Riddle, M. (2005). Introduction to social network methods. [https://faculty.ucr.edu/~hanneman/nettext/C11_Cliques.html Chapter 11: Cliques and sub-groups] | ||
''' | '''Other Resources:''' | ||
== Week 12: Networks in organizations == | |||
April 10 | |||
April | |||
'''Weekly Lecture:''' | |||
* [https://youtu.be/mOtVC0N-ItA Networks in Organizations lecture] | |||
* [https://youtu.be/MzA12DkQGBw Answering questions about R] | |||
'''Assignment Due:''' | '''Assignment Due:''' | ||
* Turn in your [[Self Assessment Reflection]] on Brightspace | * Turn in your [[Self Assessment Reflection]] on Brightspace | ||
* [ | * One paragraph summary of Krackhardt reading + 1 question about the reading | ||
* Keep working on [https://github.com/jdfoote/Communication-and-Social-Networks/raw/master/activities/groups_in_networks.Rmd Groups in networks]; enhance your visualization of the Dutch school data by including community detection of some kind. | |||
'''Readings:''' | '''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. | ||
* (SKIM) Katz, N., Lazer, D., Arrow, H., & Contractor, N. (2004). [http://journals.sagepub.com/doi/10.1177/1046496404264941 Network theory and small groups]. Small Group Research, 35(3), 307–332. | |||
* | |||
== Week 13: | == Week 13: The dark side of networks == | ||
April | April 17 | ||
[https://jeremydfoote.com/teaching/2020/comm_and_soc_networks/dark_side_week_13/#/ Slides] | |||
'''Assignment Due:''' | |||
* One paragraph summary of each reading + 1 question about each reading | |||
* | * Talk about readings/concepts on FlipGrid | ||
* | * Watch [https://youtu.be/sNR39Z9Tm3M this week's lecture] | ||
* Keep working on the [[Communication_and_Social_Networks_(Spring_2020)/Final_project | final project]] | * Keep working on the [[Communication_and_Social_Networks_(Spring_2020)/Final_project | final project]] | ||
'''Readings:''' | '''Readings:''' | ||
* | * Krebs, V. E. (2002). Mapping networks of terrorist cells. Connections, 24(3), 43–52. | ||
* Kleinberg, J. (2007). The wireless epidemic. Nature, 449(7160), 287–288. https://doi.org/10.1038/449287a | |||
== Week 14: Networks and | == Week 14: Networks and technology == | ||
April | April 24 | ||
[https://jeremydfoote.com/teaching/2020/comm_and_soc_networks/tech_and_networks_week_14 Slides] | |||
'''Assignment Due:''' | '''Assignment Due:''' | ||
* | * Watch [https://youtu.be/_cqjrGErPjA this week's lecture] | ||
* Turn in reading summary on Brightspace | |||
'''Readings:''' | '''Readings:''' | ||
* | * Kleinberg, J. (2012). [https://doi.org/10.1007/978-3-642-29952-0_8 The Convergence of Social and Technological Networks]. In M. Agrawal, S. B. Cooper, & A. Li (Eds.), Theory and Applications of Models of Computation. | ||
== Week 15: | == Week 15: Networks and collaboration == | ||
May 1 | |||
'''Assignment Due:''' | '''Assignment Due:''' | ||
* Watch [https://youtu.be/xKzOrIHpnmI this week's lecture] ([https://jeremydfoote.com/teaching/2020/comm_and_soc_networks/networks_and_collaboration_week_15/ Slides]) | |||
* Turn in reading summary on Brightspace | |||
'''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://doi.org/10.2307/1562247 Coase’s Penguin, or, Linux and "The Nature of the Firm."] The Yale Law Journal, 112(3), 369. | |||
'''Readings:''' | |||
* | |||
* | |||
== Week 16: Finals week == | == Week 16: Finals week == | ||
Line 492: | Line 541: | ||
'''Assignment Due:''' | '''Assignment Due:''' | ||
* [[Communication and Social Networks (Spring 2021)/Final project|Final Project]] - Due | * [[Communication and Social Networks (Spring 2021)/Final project|Final Project]] - Due Wednesday, May 6 | ||
* Turn in your [[Final self reflection]] on Brightspace | * Turn in your [[Final self reflection]] on Brightspace - Due Friday, May 8 | ||
= Policies = | = Policies = |