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Measuring Tie-Strength in Implicit Social Networks
Published on Sep 27, 20132661 Views
Given a set of people and a set of events attended by them, we address the problem of measuring connectedness or tie strength between each pair of persons. The underlying assumption is that attendance
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Chapter list
Measuring Tie-Strength in Implicit Social Networks00:00
Problem Definition00:12
Motivation00:46
Tie Strength01:35
Macbeth02:10
Decisions, Decisions02:58
Outline03:30
Running Example04:08
Axioms04:36
Axiom 1: Isomorphism04:49
Axiom 2: Baseline05:10
Axiom 3: Frequency & Axiom 4: Intimacy06:04
Axiom 5: Popularity06:50
Axioms 6 & 7: Conditional Independence of People and of Events07:21
Axiom 8: Submodularity08:36
Example - Mapping to Axioms09:19
Observations on the Axioms09:57
Inherent Tension Between Frequency & Intimacy10:48
Observations on the Axioms (cont.)11:28
Preamble to the Characterization Theorem12:12
Characterizing Tie-Strength13:15
Many Measures of Tie-Strength14:41
Non Self-Referential Tie-Strength Measures15:00
Self-Referential Tie-Strength Measures16:19
Measures of Tie-Strength that Satisfy All the Axioms17:01
Measures of Tie-Strength that Do Not Satisfy All the Axioms18:10
Tie-Strength and Orderings18:35
Tie-Strength and Orderings: Details18:54
Data Sets19:24
Degree Distributions20:26
Completeness of Axioms 1‐820:48
Take-away point #121:56
Two Tie-Strength Functions that Do Not Satisfy the Axioms22:14
Soundness of Axioms 1‐822:49
More on Soundness23:19
Even More on Soundness - 124:00
Even More on Soundness - 224:15
Take-away point #225:02
Take-away point #325:12
Tie-Strength Measures Used in Rank Correlation Experiments25:38
Kendall τ Coefficient25:49
Adamic‐Adar, Delta, & Linear produce TS rankings that are highly correlated26:00
Common Neighbor & Max produce TS rankings that are mostly uncorrelated26:51
Take-away point #427:27
Scalability Issue27:52
Related Work28:14
Conclusions29:48
Take-away point #530:27
Thank You!31:01