Clustering, assortativity, and communities are key features of complex networks. We probe dependencies between these features and find that ensembles of networks with high clustering display both high assortativity by degree and prominent community structure, while ensembles with high assortativity show much less enhancement of the clustering or community structure. Further, clustering can amplify a small homophilic bias for trait assortativity in network ensembles. This marked asymmetry suggests that transitivity could play a larger role than homophily in determining the structure of many complex networks
Due to the recent availability of large complex networks, considerable analysis has focused on under...
Pluralistic homophily is an important phenomenon in social network analysis as nodes tend to associa...
Background: Links in complex networks commonly represent specific ties between pairs of nodes, such ...
International audienceOne of the most prominent properties in real-world networks is the presence of...
Rich-club, assortativity and clustering coefficients are frequently used measures to estimate topolo...
Why are some networks degree-degree correlated (assortative), while most of the real-world ones are ...
Spatial structure of an otherwise random and uniform population impacts on the emergence of cooperat...
Background Community structure is one of the key properties of complex networks and plays a crucial ...
The existence of discrete social clusters, or ‘communities’, is a common feature of social networks ...
The existence of discrete social clusters, or ‘communities’, is a common feature of social networks ...
BACKGROUND: Community structure is one of the key properties of complex networks and plays a crucial...
Understanding the causes and effects of network structural features is a key task in deciphering com...
We consider previously proposed procedures for generating clustered networks and investigate how the...
Understanding the causes and effects of network structural features is a key task in deciphering com...
Assortative matching is a network phenomenon that arises when nodes exhibit a bias towards connectio...
Due to the recent availability of large complex networks, considerable analysis has focused on under...
Pluralistic homophily is an important phenomenon in social network analysis as nodes tend to associa...
Background: Links in complex networks commonly represent specific ties between pairs of nodes, such ...
International audienceOne of the most prominent properties in real-world networks is the presence of...
Rich-club, assortativity and clustering coefficients are frequently used measures to estimate topolo...
Why are some networks degree-degree correlated (assortative), while most of the real-world ones are ...
Spatial structure of an otherwise random and uniform population impacts on the emergence of cooperat...
Background Community structure is one of the key properties of complex networks and plays a crucial ...
The existence of discrete social clusters, or ‘communities’, is a common feature of social networks ...
The existence of discrete social clusters, or ‘communities’, is a common feature of social networks ...
BACKGROUND: Community structure is one of the key properties of complex networks and plays a crucial...
Understanding the causes and effects of network structural features is a key task in deciphering com...
We consider previously proposed procedures for generating clustered networks and investigate how the...
Understanding the causes and effects of network structural features is a key task in deciphering com...
Assortative matching is a network phenomenon that arises when nodes exhibit a bias towards connectio...
Due to the recent availability of large complex networks, considerable analysis has focused on under...
Pluralistic homophily is an important phenomenon in social network analysis as nodes tend to associa...
Background: Links in complex networks commonly represent specific ties between pairs of nodes, such ...