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Transitivity and degree assortativity explained: The bipartite structure of social networks
arxiv.org/abs/1912.03211
A thread on #affiliationnetworks (#bipartitenetworks #twomodenetworks) and their importance to social systems.
Transitivity and degree assortativity explained: The bipartite structure of social networks
arxiv.org/abs/1912.03211
A thread on #affiliationnetworks (#bipartitenetworks #twomodenetworks) and their importance to social systems.
Social networks tend to present higher levels of transitivity (friend of my friend is my friend too) and degree assortativity (popular people are likely to connect to other popular people and unpopular to unpopular) than others.
Why?
Why?
In their article (arxiv.org/abs/cond-mat/0…), Newman and Park said: "if social networks are divided into groups or communities, this division alone can produce both degree correlations and clustering".
What they meant is: social systems have an underlying bipartite structure!
What they meant is: social systems have an underlying bipartite structure!
