Finding Communities Let’s consider the following graph presented in Figure 2.30 to demonstrate the community detection algorithm. This graph has 13 nodes and 15 links. Link weights in community detection is crucial and defines the recursive partitioning of the network into subgraphs. The links in this network are first considered undirected. Multiple algorithms will be used and therefore, different communities will be detected.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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Finding Communities
Let’s consider the following graph presented in Figure 2.30 to demonstrate the community detection algorithm. This graph
has 13 nodes and 15 links. Link weights in community detection is crucial and defines the recursive partitioning of the network into subgraphs. The links in this network are first considered undirected. Multiple algorithms will be used and
therefore, different communities will be detected.

H
11
20
G
J
8
K
12
12
F
B
10
A
2
15
2
3
1
D
10
E 14
Figure 2.30 Input graph with undirected
weighted links.
18
M
Transcribed Image Text:H 11 20 G J 8 K 12 12 F B 10 A 2 15 2 3 1 D 10 E 14 Figure 2.30 Input graph with undirected weighted links. 18 M
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