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Bipartite Networks - I

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Bipartite Networks - I. Monojit Choudhury Microsoft Research India. Evolution: Biological, Cognitive and Cultural. Words. Genes. Cocktails. What’s common?. Words : Sequences of letters Genes : Sequences of codons Cocktails : Combinations of liquors They are all Combinatorial Systems - PowerPoint PPT Presentation
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Bipartite Networks - I Monojit Choudhury Microsoft Research India
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Page 1: Bipartite Networks - I

Bipartite Networks - I

Monojit ChoudhuryMicrosoft Research India

Page 2: Bipartite Networks - I

Evolution: Biological, Cognitive and Cultural

Words

Genes Cocktails

Page 3: Bipartite Networks - I

What’s common?

• Words: Sequences of letters• Genes: Sequences of codons• Cocktails: Combinations of liquors

They are all Combinatorial Systems

• Discrete Combinatorial System: genes, words • Blending System: colors, cocktails

Page 4: Bipartite Networks - I

A Model of DCS

AAU ACG ACC AAU UGC AUA AAU GAA UGA ACG …

U: codons

AAU

UG

A

ACC

UG

C

AUA

GAA

AGA

ACG

… … … V: genes

Page 5: Bipartite Networks - I

More Examples

rat

likes

cat

eats

the

natrlikeshz

c cat likes ratrat likes catcat eats ratrat eats catthe cat likes ratcat eats the ratthe cat likes the rat

Letters Words Sentences

Page 6: Bipartite Networks - I

A Bipartite World• Movie-Actor

• Article-Author

• Team-Player

• Board-Director

• Train-Station

• Metabolic pathway-Protein

• Antibody-Antigen

• Language-Phoneme, …

Page 7: Bipartite Networks - I

Secrets of Bollywood

• How many actors does a movie have and why?• How many movies an actor acts in and why?

Page 8: Bipartite Networks - I

BNWs: What’s so Special?

• BNW 2-colorability Triangle free• Aka Two-mode graphs• Generalization: k-partite graphs

o k = 1: unipartite (nothing special)o k = 2: BNWo k > 2: not very interesting

• Relationship between chromatic number and k

Page 9: Bipartite Networks - I

Analysis of BNWs: Degree

• Degree distributiono Two separate distributions: one for each

partition

• Degree CentralityoDo we need any modification?o Yes! Need different normalizations

Page 10: Bipartite Networks - I

Analysis of BNW: Centrality

• What about oCloseness centrality?o Betweenness centralityo Eigenvector centrality

• M. Everett and S.P. Borgatti (2005) Extending Centrality. In Models and Methods in Social Network Analysis. Ed. Carrington et al. CUP

Page 11: Bipartite Networks - I

Analysis of BNW: Clustering

• What is the clustering coefficient of a BNW?

• Basic Idea: Count the squares instead of triangles

• Zhang et al (2008) The clustering coefficient and community structure of bipartite networks.

Page 12: Bipartite Networks - I

One-mode Projection

One-mode projection

l1 l2 l3 l4/s/

/p/

/k/

/t/

/d/

/n/

1

0

1

0

0

0

0

1

1

1

0

0

1

0

0

1

0

1

0

1

1

1

1

1

A

AAT – D

/s/

/p/

/k/

/t/

/d/

/n/

0

0

1

0

0

1

0

0

2

2

1

1

1

2

0

2

1

1

0

2

2

0

1

2

B /s/ /p/ /k/ /t/ /d/ /n/

0

1

1

1

0

1

1

1

1

2

1

0

l1

l2

l3

l4

/s/

/p/

/k/

/d/

/t/

/n/

PlaNet

/s/

/n//k/

/p/

/t/ /d/

1

1 1

2

2

2

1

2

1

1

1

1

1

PhoNet

l1 l2 l3 l4l1

l2

l3

l4

0

1

1

1

1

0

1

3

1

1

0

2

1

3

2

0

B′

l1

l2

l3

l4

2

1

1

1

13

LangGraph

One-mode projection

ATA – D′

Page 13: Bipartite Networks - I

Bipartite Structure of all Complex Networks

• Jean-Loup Guillaume, Matthieu Latapy (2004) Bipartite structure of all complex networks. Information Processing Letters 90


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