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Small World Networks

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Neighborhood<br />

¡<br />

¡<br />

¡<br />

¡<br />

The neighborhood Г(v) of a vertex v<br />

l Is the subgraph S consisting of all the vertices adjacent to<br />

v, v excluded<br />

l Let us indicate a |Г(v)| the number of vertices of Г(v)<br />

The neighborhood Г(S) of a subgraph S<br />

Is the subgraph that consists of all the vertices<br />

adjacent to any of the vertices of S, S excluded<br />

l S=Г(v), Г(S)= Г(Г(v))= Г 2 (v)<br />

l Г i (v) is the ith neighborhood of v<br />

Distribution sequence Λ<br />

l Λi(v)=∑0ài|Г(v)|<br />

l This counts all the nodes that can be reached from v at a<br />

specific distance<br />

l In a small world, the distribution sequence grows very<br />

fast<br />

19<br />

Clustering (1)<br />

¡ The clustering γv of a<br />

vertex v<br />

l Measures to extent<br />

to which the vertices<br />

adjacent to j are also<br />

adjacent to each<br />

other<br />

l i.e., measure the<br />

amount of edges in<br />

Г(v)<br />

NOT CLUSTERED<br />

v<br />

Г(v)<br />

CLUSTERED<br />

v<br />

Г(v)<br />

20<br />

10

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