Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters
Stanford University · Sunnyvale Public Library
Abstract
A large body of work has been devoted to defining and identifying clusters or communities in social and information networks, i.e., in graphs in which the nodes represent underlying social entities and the edges represent some sort of interaction between pairs of nodes. Most such research begins with the premise that a community or a cluster should be thought of as a set of nodes that has more and/or better connections between its members than to the remainder of the network. In this paper, we explore from a novel perspective several questions related to identifying meaningful communities in large social and information networks, and we come to several striking conclusions. Rather than defining a procedure to…
Citation impact
- FWCI
- 51.80
- Percentile
- 100%
- References
- 166
Authors
4Topics & keywords
- Community structure
- Theoretical computer science
- sort
- Computer science
- Premise
- Complex network
- Set (abstract data type)
- Graph