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2010-03-02 (13)

2010-03-02 (13) - TodaysOverview Causality Centrality...

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Today’s Overview Causality Centrality The Oscars
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Causality – Some Basics Independent Variables vs. Dependent Variables Y =  β 1 X 1  +  β 2 X 2  + … +  ε Association Correlation   Causation Temporality Asymmetry Robustness Necessary vs. Sufficient
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Causality – Association Correlation – a measure of the association between  two random variables (range: -1 +1) Correlation does not equal causation spurious correlations ice cream & drowning HRT and CHD reverse causation height & basketball religion & fertility
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Causality – Some Details Temporality Y t1    X t0 Asymmetry NOT Y t0    X t1 Robustness X 2 , X 3,  X N Necessary vs. Sufficient Causes of Effects Effects of Causes
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Today’s Overview Causality Centrality The Oscars
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Who’s Important?
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Centrality –  Structural Measures of Importance Degree Centrality The total number of ties incident to a node Closeness Centrality Relative proximity to all other nodes in the graph Betweenness Centrality Proportion of the geodesics connecting  all other node  pairs  on which a node lies
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