What do we get out of studying systems as networks? examples: - - PowerPoint PPT Presentation

what do we get out of studying systems as networks
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What do we get out of studying systems as networks? examples: - - PowerPoint PPT Presentation

Social Network Analysis Lada Adamic What do we get out of studying systems as networks? examples: Political/Financial Networks ! Mark Lombardi: tracked and mapped global financial fiascos in the 1980s and 1990s from public sources such as


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Social Network Analysis

Lada Adamic

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What do we get out of studying systems as networks?

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examples: Political/Financial Networks

! Mark Lombardi: tracked and mapped global financial fiascos in the 1980s and 1990s from public sources such as news articles

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Understanding through visualization

! I happened to be in the Drawing Center when the Lombardi show was being installed and several consultants to the Department of Homeland Security came in to take a look. They said they found the work revelatory, not because the financial and political connections he mapped were new to them, but because Lombardi showed them an elegant way to array disparate information and make sense of things, which they thought might be useful to their security efforts. I didn‘t know whether to find that response comforting or alarming, but I saw exactly what they meant. Michael Kimmelman Webs Connecting the Power Brokers, the Money and the World

NY Times November 14, 2003

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Internet

structure of the Internet at the level of autonomous systems. Data source: Mark Newman http://www-personal.umich.edu/~mejn/netdata/.

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Political blogs

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Organizations

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Facebook networks

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Ingredient networks

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What are networks?

! Networks are sets of nodes connected by edges.

Network ≡ Graph

points lines vertices edges, arcs math nodes links computer science sites bonds physics actors ties, relations sociology

node edge

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goal: characterize network structure

! Are nodes connected through the network? (week )1 ! How far apart are they? (week 1) ! Are some nodes more important due to their position in the network? (week 3) ! Is the network composed of communities? (week 4)

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goal: model network formation

! Randomly generated networks (week 2) ! Preferential attachment (week 2) ! Small-world networks (week 5) ! Optimization, strategic network formation (week 5)

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goal: understand how network structure affects processes

! information diffusion (weeks 2 & 6) ! opinion formation (week 6) ! coordination/cooperation (week 6) ! resilience to attack (week 2)

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What about weeks 7 & 8?

! Week 7: cool and unusual applications

  • f SNA

! Week 8: SNA and online social networks