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Community-BasedLabelling
SocialNetworks
• Relatedusersandcontents• Analyzeinfluentialpeopleandcommunities
WebGraphs
• Giveranktowebpages
Real World Networks
BFS or Dijkstra’s algorithm
E.g. Naïve Pair-wise Labelling (Index)
a b c d e …
a 1 1 1 1 1
b 1 2 3 4 5
c 1 3 6 10 15
d 1 4 10 20 35
e 1 5 15 35 70
… …
Fact - real world networks have inborn communities
Why not index for each community?
ReasonableIndexSizeComparativeQueryTime
2-Layer Framework
1st Layer– Communities
2nd Layer– MetaGraph
How it works
Dist(a, b) =Dist(a, bond(a)) + Dist(b, bond(b)) + Dist(bond(a), bond(b))
(fromCommunity labels)
(fromMeta-graph label)
Communities
Meta-graph
TOOLS & DATASETS
Stanford Network Analysis PlatformS.N.A.P
• Amazon• DBLP• Emails
Datasets• Labelling for each community
C++
• Snap.py connects with SNAP• Community detection
Python
Q&A
Contact:
Hao Zhang
u5319850@anu.edu.au
www.zengineerhao.com
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