Online social networking is an increasingly prominent social phenomenon that has motivated much interesting research in networking. This work studies the dynamic evolvement of online social networks by a simple stochastic model that captures the inter-dependent social interactions. We show that multiple stable states exist in the evolvement of online social networks, leading to fundamental ramifications to the structures of online social networks and their applications. ©2010 IEEE.published_or_final_versionThe 2010 INFOCOM IEEE Conference on Computer Communications Workshops, San Diego, CA., 15-19 March 2010. In Proceedings of the IEEE INFOCOM Conference, 2010, p. 1-
Online Social Networks (OSNs) are the most popular applications in todays Internet and they have cha...
Social systems are in a constant state of flux, with dynamics spanning from minute-by-minute changes...
The conventional wisdom is that social networks exhibit an assortative mixing pattern, whereas biolo...
Understanding the patterns of collective behavior in online social network (OSNs) is critical to ex...
Social scientists have hypothesised that new social contacts arise preferentially between those who ...
abstract: Online social networks have become increasingly ubiquitous and understanding their structu...
Abstract Nowadays, people and systems created by people are generating an unprecedented amount of ...
The growing popularity of Online Social Networks (OSN) is generating a large amount of communication...
Understanding the social relation of dynamical online social networks (OSNs) is significant for ide...
It is important to consider the interweaving nature of online and offline social networks when we ex...
Measurement studies of online social networks (OSNs) show that all social links are not equal, and t...
From Facebook groups and online gaming clans, to social movements and terrorist cells, groups of ind...
In this paper, we consider the evolution of structure within large online social networks. We presen...
The overwhelming success of online social networks, the key actors in the Web 2.0 cosmos, has reshap...
Results about offline social networks demonstrated that the social relationships that an individual ...
Online Social Networks (OSNs) are the most popular applications in todays Internet and they have cha...
Social systems are in a constant state of flux, with dynamics spanning from minute-by-minute changes...
The conventional wisdom is that social networks exhibit an assortative mixing pattern, whereas biolo...
Understanding the patterns of collective behavior in online social network (OSNs) is critical to ex...
Social scientists have hypothesised that new social contacts arise preferentially between those who ...
abstract: Online social networks have become increasingly ubiquitous and understanding their structu...
Abstract Nowadays, people and systems created by people are generating an unprecedented amount of ...
The growing popularity of Online Social Networks (OSN) is generating a large amount of communication...
Understanding the social relation of dynamical online social networks (OSNs) is significant for ide...
It is important to consider the interweaving nature of online and offline social networks when we ex...
Measurement studies of online social networks (OSNs) show that all social links are not equal, and t...
From Facebook groups and online gaming clans, to social movements and terrorist cells, groups of ind...
In this paper, we consider the evolution of structure within large online social networks. We presen...
The overwhelming success of online social networks, the key actors in the Web 2.0 cosmos, has reshap...
Results about offline social networks demonstrated that the social relationships that an individual ...
Online Social Networks (OSNs) are the most popular applications in todays Internet and they have cha...
Social systems are in a constant state of flux, with dynamics spanning from minute-by-minute changes...
The conventional wisdom is that social networks exhibit an assortative mixing pattern, whereas biolo...