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Modelling and Searching Networks Lecture 4 – ILAT model
Miniconference on the Mathematics of Computation MTH 707 Modelling and Searching Networks Lecture 4 – ILAT model Dr. Anthony Bonato Ryerson University
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What about negative social interaction?
Zachary Karate club Anthony Bonato
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Structural balance theory
considers triads of nodes triads seek closure (Heider,58), (Easley,Kleinberg,10) balanced unbalanced Anthony Bonato
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Eg 1: Market graph nodes: stocks
edges: negative correlation (competition) properties (Boginski,Butenko,Pardalos,03) power law small world cliques and co-cliques Anthony Bonato
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Eg 2: Big Brother nodes: players edges: votes for eviction
Anthony Bonato
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Anti-Transitivity Anthony Bonato
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Iterated Local Anti-Transitivity (ILAT) model (Bonato,Infeld,Pokhrel,Prałat,17)
key paradigm is anti-transitivity: “enemies of enemies are friends” enemies: non-edges nodes have global influence evolves over time Anthony Bonato
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ILAT model start with a graph of order n
to form the graph Gt+1 for each node x from time t, add a node x′, the anti-clone of x, so that xx′ is a non-edge, and x′ is joined to each node non-joined to x Anthony Bonato
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Exercise 5.1 Why is the ILAT model an appropriate one for the Survivor or Big Brother network? 5.2 What are some of the drawbacks of the model?
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G0 = C4 Anthony Bonato
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Exercise 5.3 Draw the first 2 additional time-steps if the initial graph is the 3-clique. 5.4 Repeat, but with the 3-vertex graph with no edges.
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Degrees Lemma 5.0 Let degt(z) be the degree of z at time t. a) Show that if x is in Gt, then degt+1(x) = nt - 1. b) Show that degt+1(x’) = nt - degt(x) - 1. Example: If the initial graph is a 3-clique, the degrees after two additional time-steps: …
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Exercise 5.8 Derive the expression for the number of edges at time t+1: et+1 = n2t - et - nt. (Hint: draw a picture and use Lemma 5.0.)
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Properties (BIPP,17) Theorem 5.1: Densification: et / nt = Ω( 2 𝑡 )
it can also be shown that after at least two time-steps, the diameter is 3 Anthony Bonato
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