Download Chapters 3-6 (.PDF) - ODBMS
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10 12<br />
10 10<br />
10 8<br />
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10 2 10 0<br />
10 5<br />
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10 2<br />
10 1<br />
10 1 10 0<br />
10 3<br />
Individual−to−Committee Scatter Plot<br />
0.53816x + (0.71768) = y<br />
0.92501x + (0.3315) = y<br />
1.3666x + (0.95182) = y<br />
1.1402x + (−0.68569) = y<br />
10 4<br />
|E|<br />
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|W|<br />
|dupE|<br />
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|srcN|<br />
|dstN|<br />
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4.2. DW-1: WEIGHT POWER LAW (WPL) 29<br />
10 0 10 0<br />
0.79039x + (0.52229) = y<br />
1.0325x + (0.013682) = y<br />
10 1<br />
10 2<br />
Blog Network Scatter Plot<br />
(a) CampIndiv WPLs (b) BlogNet WPLs<br />
10 2<br />
Author−to−Conference Scatter Plot<br />
0.96848x + (0.025756) = y<br />
0.48588x + (−0.74581) = y<br />
1.086x + (−0.17991) = y |W|<br />
10 3<br />
|E|<br />
|srcN|<br />
|dstN|<br />
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10 2<br />
10 1<br />
10 2 10 0<br />
10 3<br />
10 3<br />
|E|<br />
|W|<br />
10 4<br />
10 4<br />
|N|<br />
Keyword−to−Conference Scatter Plot<br />
0.85823x + (0.27754) = y<br />
0.5493x + (−1.0495) = y<br />
1.2251x + (−0.06747) = y<br />
(c) Auth-Conf WPLs (d) Key-Conf WPLs<br />
Figure 4.2: (WPL): Properties of weighted networks. We show total weight W(t)(and count of multiedges<br />
Ed(t) and nodes N(t)), versus total count of (unique) edges E(t). Every dot corresponds to a<br />
timestamp.The slopes for weight W(t)and multi-edges Ed(t) are above 1, indicating super-linear growth.<br />
|E|<br />
|W|<br />
|srcN|<br />
|dstN|<br />
10 5<br />
10 6<br />
10 5