Data driven vs. hypothesis-driven research in the social sciences

author:Jörg Reichardt, Institute for Theoretical Physics - University of Würzburg
published: Sept. 26, 2008,   recorded: August 2008,   views: 270
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Slides

Slides
0:00 Hypothesis- vs. Data-Driven Research
0:30 Hypothesis Driven
2:10 Hypothesis Driven / Data Driven
3:29 Market Research as an Example
3:56 Interpretation of Bidder Groups
6:07 A well defined Problem: Planted Partitions
8:20 Impossible-to- Trivial- Transition
10:10 A Worst Case Scenario: 3 Links per Node
10:39 Why this transition?
14:49 Algorithm Independent Results
15:47 Influence of Graph Topology on Min-Cut Partition part1
16:04 Influence of Graph Topology on Min-Cut Partition part2
16:16 Influence of Graph Topology on Min-Cut Partition part3
17:17 Influence of Graph Topology on Min-Cut Partition part4
17:17 Influence of Graph Topology on Min-Cut Partition part4
17:20 Influence of Graph Topology on Min-Cut Partition part5
17:50 Influence of Graph Topology on Min-Cut Partition part6
18:03 Influence of Graph Topology on Min-Cut Partition part7
18:13 Influence of Graph Topology on Min-Cut Partition part8
18:15 Influence of Graph Topology on Min-Cut Partition part9
19:10 Influence of Graph Topology on Min-Cut Partition part5
20:09 Influence of Graph Topology on Min-Cut Partition part6
21:12 Influence of Graph Topology on Min-Cut Partition part9
23:39 How does pc in depend on Degree Distribution?
23:48 Influence of Graph Topology on Min-Cut Partition part9
23:53 How does pc in depend on Degree Distribution?
25:31 Influence of Graph Topology on Min-Cut Partition part9
25:35 How does pc in depend on Degree Distribution?
26:07 Inclusion of Prior Knowledge
26:55 Finite Size Effects
28:11 Unequal Cluster Sizes
29:27 Conclusion part1
29:48 Conclusion part2
30:35 Conclusion part3
32:17 Conclusion part4
32:34 Conclusion part5
32:35 Conclusion part6
32:37 Conclusion part7
32:38 Conclusion part8
32:53 Conclusion part9
33:16 References

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