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Butterfly model slides. Topological Model: “Butterfly” Objective: Develop model to help explain behavioral mechanisms that cause observed properties,

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Presentation on theme: "Butterfly model slides. Topological Model: “Butterfly” Objective: Develop model to help explain behavioral mechanisms that cause observed properties,"— Presentation transcript:

1 Butterfly model slides

2 Topological Model: “Butterfly” Objective: Develop model to help explain behavioral mechanisms that cause observed properties, and to aid in forecasting. Properties: – Constant/oscillating NLCC’s – Densification (nodes vs edges) – Shrinking diameter (after “gelling point”) – Heavy-tailed degree distribution – Weight properties – Emergent, local, intuitive behavior 2

3 Topological Model: “Butterfly” Main idea: 3 parameters – p host : Chooses several hosts (“social butterfly”) – p step : Explores local networks in random walk – p link : Links probabilistically 3

4 Topological Model: “Butterfly” Main idea: 3 parameters – p host : Chooses several hosts (“social butterfly”) – p step : Explores local networks in random walk – p link : Links probabilistically 4

5 Topological Model: “Butterfly” Main idea: 3 parameters – p host : Chooses several hosts (“social butterfly”) – p step : Explores local networks in random walk – p link : Links probabilistically 5

6 Topological Model: “Butterfly” Main idea: 3 parameters – p host : Chooses several hosts (“social butterfly”) – p step : Explores local networks in random walk – p link : Links probabilistically 6

7 Topological Model: “Butterfly” Main idea: 3 parameters – p host : Chooses several hosts (“social butterfly”) – p step : Explores local networks in random walk – p link : Links probabilistically 7

8 Topological Model: “Butterfly” Theorem: Number of visits in each local neighborhood will follow power law. – Helps lead to heavy tailed outdegree-distribution. Proof: See Ch. 4.1. Also proved that Butterfly reproduces the other properties related to components. 8

9 Topological Model: “Butterfly” 9 Time Diam- eter Shrinking diameter log(nodes) log(edge s) slope=1.17 Densification Model (synthetic) Time Diam- eter log(edges) log(node s) Postnet (real) slope=1.1 1.

10 Topological Model: “Butterfly” 10 Postnet (real) Log(degree) Log(cou nt) slope=-2 Power-law degree distribution Nodes NLCC size Oscillating NLCCs Model(synt hetic)

11 Topological model: “Butterfly” Observed properties: Densification Shrinking diameter Heavy-tailed degree distribution Oscillating NLCCs Also (in weighted version, see thesis): Eigenvalue power law Weight power laws Bursty weight additions 11


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