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DCS/CSCI 2350: Social & Economic Networks
Mohammad T . Irfan Email: mirfan@bowdoin.edu Web: www.mtirfan.com
www.mtirfan.com/DCS-2350
1
Syllabus and required background
u Course website
u www.mtirfan.com/DCS-2350
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DCS/CSCI 2350: Social & Economic Networks - - PDF document
9/8/20 DCS/CSCI 2350: Social & Economic Networks www.mtirfan.com/DCS-2350 Mohammad T . Irfan Email: mirfan@bowdoin.edu Web: www.mtirfan.com 1 Syllabus and required background u Course website u www.mtirfan.com/DCS-2350 10 1 9/8/20
9/8/20 1
DCS/CSCI 2350: Social & Economic Networks
Mohammad T . Irfan Email: mirfan@bowdoin.edu Web: www.mtirfan.com
www.mtirfan.com/DCS-2350
1
Syllabus and required background
u Course website
u www.mtirfan.com/DCS-2350
10
9/8/20 2
You said you are here because:
u Coding related to social and economic issues u Graph theory, especially computationally u Mapping relationships within social networks u My favorite part about computer science is
the real world applications
u Network science and how networks influence
u Interdisciplinary aspect of it and how it
relates to today's world
u Push myself to think in a new way u Improve/become more comfortable coding
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Connections
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2012
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Diffusion/ Cascades/ Contagion
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Technology
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Viral Facebook posts (2013)
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Arab Spring (2010 – 2014)
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Small World
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6-degrees of separation
u Milgram’s experiment (1960s)
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The Internet
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Algorithms & economics of search
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Strategic decision- making in Networks
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Game theory
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Markets
60 Lives, 30 Kidneys, All Linked NY Times
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Unifying element among all these stories
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https://griffsgraphs.wordpress.com/2012/07/02/a- facebook-network/
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https://blog.linkedin.com/2011/01/24/linkedin-inmaps
LinkedIn InMaps
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Political blogs (2004)
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"Graph theory is a terminological jungle, in which any newcomer may plant a tree." – John Barnes
Reading: Ch 2 (Easley-Kleinberg)
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Some Properties Puzzles
Degree-sum formula Max # of edges Konigsberg bridge problem
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Konigsberg Bridge Problem
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Paths Cycles
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ARPANET (1970)
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Connectivity Components
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High school relationships (1993-95)
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Review of vocabulary
High school relationships (1993-95) Network ßà Graph Node ßà Vertex Edge: undirected vs. directed (arc) Degree of a node Endpoints of an edge Directed, undirected, mixed graphs Simple vs non-simple graph Subgraph Degree-sum formula Maximum number of edges Eulerian circuit problem Path Cycle Connected vs. disconnected graph Connected components of a graph
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Reading
u Chapter 2 of Easley-Kleinberg u Due before the next class
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