Communication and Social Networks (Spring 2021)

= Course Information =
 * COM 411: Communication and Social Networks
 * Location: ONLINE
 * Class Hours: Tuesdays and Thursdays; 1:30-2:45pm

Instructor

 * Instructor: Jeremy Foote
 * Email: jdfoote@purdue.edu
 * Office Hours: Thursdays; 3:00-5:00pm and by appointment

= 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. The course will also introduce students to using network visualizations to gain and share insights about network phenomena.

Students who complete this course will be able to:
 * 1) Understand the foundations of social network theory and analysis.
 * 2) Critically read and comprehend concepts, results, and implications presented in studies of social networks.
 * 3) Learn how networks are related to social phenomena in their personal and professional worlds.
 * 4) Gain a basic understanding of gathering network data and analyzing them using the programming language R.

= Required resources and texts =

Laptop
This is an online class and you will need access to a decent computer. You will 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

 * Required texts:
 * Easley, D., & Kleinberg, J. (2010). Networks, crowds, and markets. Cambridge University Press. web editionfree pre-print pdfAmazon
 * Hanneman, R. A., & Riddle, M. (2005). Introduction to social network methods. Riverside, CA: University of California, Riverside free web edition


 * Other readings: Other readings will be made available on Brightspace.

Other suggested books

 * Barabasi, A-­‐L. (2002). Linked: The new science of networks. Cambridge, MA: Perseus.
 * Scott, J. (2000). Social network analysis: A handbook (2nd edition). London: Sage Publications.
 * Watts, D. J. (2004). Six degrees: The science of a connected age. WW Norton & Company.

= Course logistics =

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:


 * 1) 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.
 * 2) Closely monitor the class Discord. 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 on Discord that should be emailed to everybody in the class if you have notifications turned on.
 * 3) I will ask the class for voluntary anonymous feedback frequently. Please let me know what is working and what can be improved.

Class Sessions
This course will follow "flipped" classroom model. I expect you to learn most of the content of the course asynchronously. The goal of our time together is not to tell you new things, but to consolidate knowledge and to clear up misconceptions.

The Tuesday meeting will be a collaborative, discussion-centric session. Typically, about half of each session will be devoted to going over assignments and the other half will be a discussion of the readings and videos from that week.

The Thursday meetings will be more like a lab. Some of these sessions will include synchronous activities but they will often be more of a co-working time, where you can work synchronously on assignments and I can be available to answer questions.

Getting Help
Your first place to look for help should be each other. By asking and answering questions on Discord, you will not only help to build a repository of shared information, but to reinforce our learning community.

I will also hold office hours Thursday afternoons on Discord. 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 a classmate (e.g., on Discord). This policy lets me have time to help more students, but it's also a useful strategy. Often just trying to explain your code can help you to recognize where you've gone wrong.

I will also check Discord at least once a day. I encourage you to post questions there, and to use it as a space where we can help and instruct each other. In general, you should contact me there. 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. = 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.

Participation
I expect you to be an active member of our class. This includes paying attention in class, participating in activities, and being actively engaged in learning, thinking about, and trying to understand the material.

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.

You will also be required to submit 1-2 discussion questions on Discord before our Tuesday sessions.

Homework/Labs
There will be a number of homework assignments. At the beginning of the class, these will be designed to help you to grasp foundational network concepts. As the class progresses, more and more of them will be analyzing and visualizing networks in R.

Exams
There will be one in-class exam, approximately halfway through the semester. It will assess your understanding of core communication and social networks concepts.

Final Project
Students will work on a Final Project that explains how network analysis and a network approach can benefit an organization.

A number of intermediate assignments through the semester will help you to gain the skills and data necessary to be successful.

= Grades =

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. In general, I think that my time is much better spent in providing better feedback and in being available to work through problems together.

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 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:


 * 20%: class participation, including attendance and participation in discussions and group work
 * 20%: Labs and homework assignments
 * 25%: Exam
 * 35%: Final Project

The exam will be graded like a normal exam and the score will make up 25% of your grade. For the rest of the assignments (and the other 75% 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:

A: Reflects work the exceeds expectations on multiple fronts and to a great degree. Students reaching this level of achievement will:
 * Do what it takes to learn the principles and techniques of social networks, including looking to outside sources if necessary.
 * Engage thoughtfully with an ambitious final project.
 * Take intellectual risks, offering interpretations based on synthesizing material and asking for feedback from peers.
 * Share work early allowing extra time for engagement with others.
 * Write reflections that grapple meaningfully with lessons learned as well as challenges.
 * Complete most, if not all homework assignments at a high level.

B: Reflects strong work. Work at this level will be of consistently high quality. Students reaching this level of achievement will:
 * Be more safe or consistent than the work described above.
 * Ask meaningful questions of peers and engage them in fruitful discussion.
 * Exceed requirements, but in fairly straightforward ways - e.g., an additional post in discussion every week.
 * Compose complete and sufficiently detailed reflections.
 * Complete many of the homework assignments.

C: This reflects meeting the minimum expectations of the course. Students reaching this level of achievement will:
 * Turn in and complete the final project on time.
 * Be collegial and continue discussion, through asking simple or limited questions.
 * Compose reflections with straightforward and easily manageable goals and/or avoid discussions of challenges.
 * Not complete homework assignments or turn some in in a hasty or incomplete manner.

D/F: These are reserved for cases in which students do not complete work or participate. Students may also be impeding the ability of others to learn.

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
 * You can sign up to participate in studies by logging into http://purdue-comm.sona-systems.com/.

= 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:
 * None

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)
 * Sign up for Discord and introduce yourself
 * Take this very brief survey

Readings:

Class Schedule:
 * Network simulation activity
 * Start work on Homework 1

Week 2: Network representations
January 26

Assignment Due:
 * Install R and RStudio on your computer if you want to use your computer instead of lab computers. This tutorial should help you to succeed.
 * Homework 1

Readings (before class):
 * James M. Cook, What is a Social Network?
 * Freeman, L. C. (2000). Visualizing social networks. Journal of social structure, 1(1), 4.
 * Go through Parable of the Polygons by Nicky Case

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

Week 3: How are communication networks formed?
February 2

Assignment Due:
 * Homework 2
 * R Lab 1

Readings:
 * Monge, P. R., & Contractor, N. S. (2003). Theories of communication networks. Oxford, UK: Oxford University Press. (pp. 298--314) - On Brightspace under Content > Readings
 * Feld, S. L. (1981). The focused organization of social ties. American Journal of Sociology, 86(5), 1015–1035.
 * McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001). Birds of a Feather: Homophily in Social Networks. Annual Review of Sociology, 27, 415–444.

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

Week 4: Small group networks
February 9

Assignment Due:
 * Turn in your Self Assessment Reflection on Brightspace

Readings:
 * Krackhardt, D., & Hanson, J. R. (1993). Informal networks: The company behind the chart. Harvard business review, 71(4), 104-111.
 * Katz, N., Lazer, D., Arrow, H., & Contractor, N. (2004). Network theory and small groups. Small Group Research, 35(3), 307–332.

Class Schedule:

Week 5: Ego networks and network perception
Slides

February 16

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. University of California. (Chapter 9)
 * Marsden, P. V. (1987). Core Discussion Networks of Americans. American Sociological Review, 52(1), 122–131. https://doi.org/10.2307/2095397
 * Research: You Have Fewer Friends than You Think. (2016, May 12). Harvard Business Review. https://hbr.org/2016/05/research-you-have-fewer-friends-than-you-think
 * Smith, E. B., Menon, T., & Thompson, L. (2012). Status Differences in the Cognitive Activation of Social Networks. Organization Science, 23(1), 67–82. https://doi.org/10.1287/orsc.1100.0643

Class Schedule:

Week 6: Power, centrality, and hierarchy
February 23

Assignment Due:

Readings:
 * Hanneman, R. A., & Riddle, M. (2005). Introduction to social network methods. Chapter 10: Centrality and Power
 * Healy, K. (2013). Using Metadata to find Paul Revere.
 * Holliday, Audrey, Campbell, & Moore, (2016). Identifying well-connected opinion leaders for informal health promotion

Class Schedule:

Week 7: Social Capital, structural holes, and weak ties
March 2

Assignment Due:

Readings:
 * Granovetter, M. S. (1973). The Strength of Weak Ties. American Journal of Sociology, 78(6), 1360–1380. https://doi.org/10.1086/225469
 * Kadushin, C. (2012). Networks as Social Capital, in Kadushin, C. (2012). Understanding Social Networks. Theories, Concepts and Findings. Oxford: Oxford University Press.
 * Putnam, R.D. (1995). Bowling Alone: America's Declining Social Capital. Journal of Democracy 6(1), 65-78.
 * (Optional) Bourdieu, P. (1986). 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). Key findings about Americans’ declining trust in government and each other. Pew Research Center.
 * (Optional) Burt, R. S. (2000). The network structure of social capital. Research in Organizational Behavior, 22, 345–423.

Class Schedule:

Week 8: Small worlds
Slides

March 9

Assignment Due:
 * Turn in your Self Assessment Reflection on Brightspace
 * Six Degrees of Wikipedia

Readings:
 * Travers, J. and Milgram, S. (1969). 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). An Experimental Study of Search in Global Social Networks. Science, 301(5634), 827.

Class Schedule:
 * Small worlds
 * Finish discussion about social capital
 * Introduce more advanced visualization methods in R
 * Begin working through Chapters 2 and 3 Network Analysis in R

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

March 16

Assignment Due:
 * Summary and questions for Dr. Feld

Readings:
 * Networks are everywhere with Albert-László Barabási
 * 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
 * Feld, Scott L. (1991), "Why your friends have more friends than you do", American Journal of Sociology, 96 (6): 1464–1477. https://doi.org/10.1086%2F229693

Class Schedule:
 * Guest lecture by Scott Feld

Week 10: Social influence and diffusion
March 23

Weekly lecture:

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

Readings:
 * Chapter 4, "Special People", in Watts, D. J. (2011). Everything is Obvious: Once you know the answer. New York, NY: Crown Business.
 * Duncan Watts on Common Sense
 * [Optional] Centola, D., & Macy, M. (2007). Complex Contagions and the Weakness of Long Ties. American Journal of Sociology, 113(3), 702–734.
 * [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:

Week 11: Communities and Core-periphery
March 30

Weekly lecture:
 * Guest Lecture by Ryan Gallagher

Assignment Due:
 * Finding and visualizing groups in networks (Right-click, save, and open in RStudio).

Readings:
 * Hanneman, R. A., & Riddle, M. (2005). Introduction to social network methods. Chapter 11: Cliques and sub-groups

Other Resources:

Week 12: Technology and networks
April 6

Weekly Lecture:

Assignment Due:
 * Turn in your Self Assessment Reflection on Brightspace

Readings:
 * Kleinberg, J. (2007). The wireless epidemic. Nature, 449(7160), 287–288. https://doi.org/10.1038/449287a
 * Kleinberg, J. (2012). The Convergence of Social and Technological Networks. In M. Agrawal, S. B. Cooper, & A. Li (Eds.), Theory and Applications of Models of Computation.

Week 13: Collective behavior
April 13

Slides

Assignment Due:
 * Do The Wisdom or Madness of Crowds Simulation and discuss on Flipgrid.
 * Keep working on the final project

Readings:
 * Becker, J., Brackbill, D., & Centola, D. (2017). Network dynamics of social influence in the wisdom of crowds. Proceedings of the National Academy of Sciences, 201615978.

Week 14: Networks and collaboration
April 20

Assignment Due:

Readings:
 * Read the Wikipedia Article about The Wealth of Networks
 * Skim section two of Benkler, Y. (2002). Coase’s Penguin, or, Linux and "The Nature of the Firm." The Yale Law Journal, 112(3), 369.

Week 15: Networked racism
April 27

Assignment Due:

Readings:

Week 16: Finals week
Assignment Due:
 * Final Project - Due Thursday, May 6
 * Turn in your Final self reflection on Brightspace

= Policies =

Attendance
In general, I expect students to attend our Tuesday meetings and to typically attend our Thursday meetings. It is expected that students communicate well in advance to faculty so that arrangements can be made for making up the work that was missed. It is your responsibility to seek out support from classmates for notes, handouts, and other information.

Only the instructor can excuse a student from a course requirement or responsibility. When conflicts can be anticipated, such as for many University-sponsored activities and religious observations, the student should inform the instructor of the situation as far in advance as possible. For unanticipated or emergency conflicts, when advance notification to an instructor is not possible, the student should contact me as soon as possible on Discord or by email. In cases of bereavement, quarantine, or isolation, the student or the student’s representative should contact the Office of the Dean of Students via email or phone at 765-494-1747. Our course Brightspace includes a link to the Dean of Students under 'Campus Resources.'

Classroom Discussions and Peer Feedback
Throughout the course, you may receive, read, collaborate, and/or comment on classmates’ work. These assignments are for class use only. You may not share them with anybody outside of class without explicit written permission from the document’s author and pertaining to the specific piece.

It is essential to the success of this class that all participants feel comfortable discussing questions, thoughts, ideas, fears, reservations, apprehensions and confusion. Therefore, you may not create any audio or video recordings during class time nor share verbatim comments with those not in class linked to people’s identities unless you get clear and explicit permission. If you want to share general impressions or specifics of in-class discussions with those not in class, please do so without disclosing personal identities or details.

Academic Integrity
While I encourage collaboration, I expect that any work that you submit is your own. Basic guidelines for Purdue students are outlined here but I expect you to be exemplary members of the academic community. Please get in touch if you have any questions or concerns.

Nondiscrimination
I strongly support Purdue's policy of nondiscrimination (below). If you feel like any member of our classroom--including me--is not living up to these principles, then please come and talk to me about it.

Purdue University is committed to maintaining a community which recognizes and values the inherent worth and dignity of every person; fosters tolerance, sensitivity, understanding, and mutual respect among its members; and encourages each individual to strive to reach his or her own potential. In pursuit of its goal of academic excellence, the University seeks to develop and nurture diversity. The University believes that diversity among its many members strengthens the institution, stimulates creativity, promotes the exchange of ideas, and enriches campus life.

Accessibility
Purdue University strives to make learning experiences as accessible as possible. If you anticipate or experience physical or academic barriers based on disability, you are welcome to let me know so that we can discuss options. You are also encouraged to contact the Disability Resource Center at: drc@purdue.edu or by phone: 765-494-1247.

Emergency Preparation
In the event of a major campus emergency, I will update the requirements and deadlines as needed.

Mental Health
If you or someone you know is feeling overwhelmed, depressed, and/or in need of mental health support, services are available. For help, such individuals should contact Counseling and Psychological Services (CAPS) at 765-494-6995 during and after hours, on weekends and holidays, or by going to the CAPS office of the second floor of the Purdue University Student Health Center (PUSH) during business hours.

Incompletes
A grade of incomplete (I) will be given only in unusual circumstances. The request must describe the circumstances, along with a proposed timeline for completing the course work. Submitting a request does not ensure that an incomplete grade will be granted. If granted, you will be required to fill out and sign an “Incomplete Contract” form that will be turned in with the course grades. Any requests made after the course is completed will not be considered for an incomplete grade.

Additional Policies
Links to additional Purdue policies are on our Brightspace page. If you have questions about policies please get in touch.