The P4 of Networkacy
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This document discusses the potential for integrating network science concepts and tools into undergraduate curriculum. It describes how network analysis can be applied to various academic subjects from biology to history. Sample modules are presented that were implemented in sociology and theater classes at Suffolk University, where students mapped networks in texts to better understand characters and plot lines. The document outlines different delivery methods for network analysis education, from workshops to full courses. It also provides references to network analysis software, tutorials, course materials and introductory books that make the field accessible.
![18
Othello
“I had given the students the assignment of doing
a “scene breakdown”—essentially a table of each
scene with the characters, props, location, time of
day, and a brief synopsis of the action. This is a
common tool in the theatre... [D.Z.'s] presentation
was lively and insightful. The students enjoyed it
very much and asked many questions. I believe it
helped them to think in a more “global” way about
the script instead of in a linear way. I hope to
invite Prof. Zinoviev to other classes in the future.”
(Prof. R Chambers, Theater Department)
Original presentation...](https://image.slidesharecdn.com/networkacy-2016-161011234300/85/The-P4-of-Networkacy-18-320.jpg)
![20
Da Vinci Code
“...[the] mapping visualizes/translates into another
language the source text... and permits script
writers to see the key aspects of a text that most
likely must be kept, while peripheral “nodes” most
likely can be dropped; as such it is a way of
streamlining the process or adaptation,
augmenting the methodologies laid out by Linda
Seger in our textbook; ...a visual, color-coded
map for students... Integrates well with an
Assignment on character analysis that the
students are performing over the course... [DZ's]
presentation can easily be integrated into a class
period.” (Prof. M Raesch, CJN)](https://image.slidesharecdn.com/networkacy-2016-161011234300/85/The-P4-of-Networkacy-20-320.jpg)
The P4 of Networkacy
- 1. The P4 of Networkacy Promise PerspectivesPractice Potential Dmitry Zinoviev Department of Math & Computer Science Suffolk University 2016
- 2. 2 The P4 of Networkacy Promise PerspectivesPractice Potential Network science provides powerful methods and tools for data representation, visualization, and analysis. (This part of the presentation is based on the Network Literacy flyer prepared by Network Science Society.)
- 3. 3 Networks Are Everywhere ● The concept of networks is a broad idea about how things are connected and working together. ● Infrastructural networks (communication systems, the Internet, the electric grid, the water supply). ● Social networks (families and friends, email/text exchanges, professional groups). ● Economic networks (financial transactions, corporate partnerships, international trades). ● Bio/eco networks (food webs, gene/protein interactions, neural networks, epidemics). ● Cultural networks (language, literature, art, history, religion)
- 4. 4 Describe Connections and Interactions ● Connections are called links, edges, ties. Connected items—nodes, vertices, actors. ● Connections can be undirected or directed. ● The number of connections a node has is called a degree of that node. ● Nodes that have much larger degrees than others, are called hubs. ● A sequence of links from one node, through other nodes, to another node is called a path. ● A group of nodes that are well connected to each other are called clusters, cliques, communities.
- 5. 5 Reveal Patterns ● Some important network properties: – how the degrees are distributed across nodes – which parts or connections are the most important ones – strengths and/or weaknesses of the network – if there is any sub-structure or hierarchy – how long are the paths that are needed to move from one node to another within the network ● Using these findings, we may be able to make predictions and explain network formation.
- 6. 6 Explore Dynamics ● Network structures can influence their dynamics. Examples include the spread of diseases, behaviors or memes in a social network, and traffic patterns on the road network in a city. ● Network dynamics can influence their structures. Examples include the creation of new following links in social media, and construction of new roads to address traffic jams. ● Network structures and dynamics often influence each other simultaneously.
- 7. 7 Compare Systems ● Various kinds of systems, once represented as networks, can be compared. ● Certain network properties commonly appear in many seemingly unrelated systems. ● Other network properties are quite different from systems to systems. These properties can help classify networks in different families and understand them differently. ● Networks can help go beyond disciplinary boundaries. ● Networks can help transfer knowledge from one discipline to another to make a breakthrough.
- 8. 8 Visualize ● Visualization of a network often helps to understand it and communicate the ideas to people in an intuitive, non-technical way. ● Creative information design plays a very important role in making an effective visualization. ● There are a variety of tools available for visualizing networks.
- 9. 9 The P4 of Networkacy Promise PerspectivesPractice Potential Network science methods and tools can be used in a variety of non-Math courses. They require little training and often provide spectacular results.
- 10. 10 Teach Networks and Win! ● Many SU courses may benefit from adding a network construction/analysis/visualization module ● Even the courses form a network, in the first place! SU Course Explorer
- 11. 11 Social Networks ● Subjects: – Sociology – Psychology – Advertising – Marketing – Political science – Management ● Networks: – families and friends – email/text exchanges – professional groups
- 12. 12 Economic and Product Networks ● Subjects: – Economics – Finance – Global Business – Operation Research – Management ● Networks – financial transactions – corporate partnerships – international trades – products purchased together
- 13. 13 Biological and Ecological Networks ● Subjects: – Biology – Biochemistry – Bioinformatics – Environmental studies ● Networks: – food webs – gene/protein interactions – neural networks – disease infections
- 14. 14 Cultural Networks ● Subjects: – Literature – History – Art History – Music History – Religion studies ● Networks: – languages – words (semantic networks) – protagonists and locations – historical persons
- 15. 15 The P4 of Networkacy Promise PerspectivesPractice Potential The Author made networking presentations in two classes taught at Suffolk University in 2015 and 2016.
- 16. 16 It's Here Already! ● Spring 2015–Fall 2016: CMPSC-107 “Ants, Rumors, and Gridlocks” (D. Zinoviev, D. Stefanescu) ● Fall 2015: Seminar for Freshmen “The Boston Theatre Scene” (R. Chambers) ● Fall 2016: Seminar for Freshmen “Film Adaptation” (M. Raesch)
- 17. 17 Ants, Rumors, and Gridlocks ● An STE course in Computational Science/Complexity ● No computer programming involved ● Introduces networks, network terminology, and network diffusion and learning
- 18. 18 Othello “I had given the students the assignment of doing a “scene breakdown”—essentially a table of each scene with the characters, props, location, time of day, and a brief synopsis of the action. This is a common tool in the theatre... [D.Z.'s] presentation was lively and insightful. The students enjoyed it very much and asked many questions. I believe it helped them to think in a more “global” way about the script instead of in a linear way. I hope to invite Prof. Zinoviev to other classes in the future.” (Prof. R Chambers, Theater Department) Original presentation...
- 20. 20 Da Vinci Code “...[the] mapping visualizes/translates into another language the source text... and permits script writers to see the key aspects of a text that most likely must be kept, while peripheral “nodes” most likely can be dropped; as such it is a way of streamlining the process or adaptation, augmenting the methodologies laid out by Linda Seger in our textbook; ...a visual, color-coded map for students... Integrates well with an Assignment on character analysis that the students are performing over the course... [DZ's] presentation can easily be integrated into a class period.” (Prof. M Raesch, CJN)
- 21. 21 Da Vinci Code ● Identify key protagonists ● Identify plot lines ● Associate plot lines with protagonists and locations Original Presentation...
- 22. 22 The P4 of Networkacy Promise PerspectivesPractice Potential Network science approach can be integrated into undergraduate and graduate curriculum in a variety of ways, and we are not the first to do this.
- 23. 23 Delivery Modes ● A short, course-specific sample module prepared and delivered by a network analysis expert (NAE) —cf. previous section ● A course-specific practice module prepared by a NAE and administered by the instructor ● A general network analysis workshop for students or faculty ● An undergraduate or graduate course in network analysis
- 24. 24 Structure of a Practice Module ● Identify topic of analysis (a network of Civil War historical persons) ● Identify sources (books about the Civil War) ● Read the sources and construct a network (in Notepad, Gephi or any other “good tool”) ● Analyze the network (Gephi, Pajek) ● Interpret the results (who was the central figure of the war?)
- 25. 25 “Good Tools”: Gephi ● Exploratory Data Analysis: intuition-oriented analysis by networks manipulations in real time. ● Link Analysis: revealing the underlying structures of associations between objects. ● Network Analysis: easy creation of social data connectors to map community organizations and small-world networks. ● Poster creation: scientific work promotion with hi- quality printable maps. Free download; runs on Windows, Mac, Linux
- 26. 26 Network Analysis Tutorial ● Link to Network Analysis Workshop at 3rd International Business Complexity and Global Leadership Conferences organized by Suffolk University SBS in 2013 Network Science Workshop (2013)
- 27. 27 Full-scale Network Analysis Course ● Several network analysis course syllabi are publicly available (such as Alexandra Marin's Researching Social Networks, Sociology/U. Toronto, and Dan Koban's Fundamentals of Network Science, West Point) ● A collection of links to network analysis resources at Stanford (http://sna.stanford.edu/research.php)
- 28. 28 Cheap, Accessible, and Exciting Books ● J. Scott (2000) “Social Network Analysis. A Handbook” ● A.-L. Barabasi (2003), “Linked: How Everything Is Connected to Everything Else and What It Means for Business, Science, and Everyday Life” ● D. Watts (2003), “Six Degrees. The Science of a Connected Age” ● D. Knoke, S. Yang (2009) “Social Network Analysis” ● N. Christakis, J. Fowler (2009), “Connected. How Your Friends' Friends' Friends Affect Everything You Feel, Think, and Do”