Structure and evolution of online social networks
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Predicting tie strength with social media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Networks, Crowds, and Markets: Reasoning About a Highly Connected World
Networks, Crowds, and Markets: Reasoning About a Highly Connected World
Unfolding the event landscape on twitter: classification and exploration of user categories
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
Predicting tie strength in a new medium
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
Beyond Social Graphs: User Interactions in Online Social Networks and their Implications
ACM Transactions on the Web (TWEB)
Evolution of social-attribute networks: measurements, modeling, and implications using google+
Proceedings of the 2012 ACM conference on Internet measurement conference
New kid on the block: exploring the google+ social graph
Proceedings of the 2012 ACM conference on Internet measurement conference
Multi-scale dynamics in a massive online social network
Proceedings of the 2012 ACM conference on Internet measurement conference
Analysis of Ego Network Structure in Online Social Networks
SOCIALCOM-PASSAT '12 Proceedings of the 2012 ASE/IEEE International Conference on Social Computing and 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust
Online Social Behavior in Twitter: A Literature Review
ICDMW '12 Proceedings of the 2012 IEEE 12th International Conference on Data Mining Workshops
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The growing popularity of Online Social Networks (OSN) is generating a large amount of communication records that can be easily accessed and analysed to study human social behaviour. This represents a unique opportunity to understand properties of social networks that were impossible to assess in the past. Although analyses on OSN conducted hitherto revealed some important global properties of the networks, there is still a lack of understanding of the mechanisms underpinning these properties, their relation to human behaviour, and their dynamic evolution over time. These aspects are clearly important to understand and characterise OSN and to identify the evolutionary strategy that favoured the diffusion of the use of online communications in our society. In this paper we analyse a data set of Twitter communication records, studying the dynamic processes that govern the maintenance of online social relationships. The results reveal that people in Twitter have highly dynamic social networks, with a large percentage of weak ties and high turnover. This suggests that this behaviour can be the product of an evolutionary strategy aimed at coping with the extremely challenging conditions imposed by our society, where dynamism seems to be the key to success.