In this paper, we consider the evolution of structure within large online social networks. We present a series of measurements of two such networks, together comprising in excess of five million people and ten million friendship links, annotated with metadata capturing the time of every event in the life of the network. Our measurements expose a surprising segmentation of these networks into three regions: singletons who do not participate in the network; isolated communities which overwhelmingly display star structure; and a giant component anchored by a well-connected core region which persists even in the absence of stars. We present a simple model of network growth which captures these aspects of component structure. The model follows o...
We use data on frequencies of bi-directional posts to define edges (or relationships) in two Faceboo...
Although social networks change over time, network dynamics remains an understudied area of social n...
<div><p>Although the structural properties of online social networks have attracted much attention, ...
Online social networking sites like Orkut, YouTube, and Flickr are among the most popular sites on t...
Communicated by Associated editor The importance of modeling and analyzing Social Networks is a cons...
The importance of modeling and analyzing Social Networks is a consequence of the success of Online S...
It is important to consider the interweaving nature of online and offline social networks when we ex...
Abstract—Recent years have seen tremendous growth of many online social networks such as Facebook, L...
Online social networks (OSNs) enable researchers to study the social universe at a previously unatta...
Results about offline social networks demonstrated that the social relationships that an individual ...
Over the past ten years, online communities have attracted significant attention from a wide range o...
The researchs on the structure and formation mechanism of social networks lead to several models wit...
We study properties of five different social systems: (i) internet society of friends consisting of ...
The study of human interactions is of central importance for understanding the behavior of individua...
In this paper we study how the network of agents adopting a particular technology relates to the str...
We use data on frequencies of bi-directional posts to define edges (or relationships) in two Faceboo...
Although social networks change over time, network dynamics remains an understudied area of social n...
<div><p>Although the structural properties of online social networks have attracted much attention, ...
Online social networking sites like Orkut, YouTube, and Flickr are among the most popular sites on t...
Communicated by Associated editor The importance of modeling and analyzing Social Networks is a cons...
The importance of modeling and analyzing Social Networks is a consequence of the success of Online S...
It is important to consider the interweaving nature of online and offline social networks when we ex...
Abstract—Recent years have seen tremendous growth of many online social networks such as Facebook, L...
Online social networks (OSNs) enable researchers to study the social universe at a previously unatta...
Results about offline social networks demonstrated that the social relationships that an individual ...
Over the past ten years, online communities have attracted significant attention from a wide range o...
The researchs on the structure and formation mechanism of social networks lead to several models wit...
We study properties of five different social systems: (i) internet society of friends consisting of ...
The study of human interactions is of central importance for understanding the behavior of individua...
In this paper we study how the network of agents adopting a particular technology relates to the str...
We use data on frequencies of bi-directional posts to define edges (or relationships) in two Faceboo...
Although social networks change over time, network dynamics remains an understudied area of social n...
<div><p>Although the structural properties of online social networks have attracted much attention, ...