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Usage patterns of collaborative tagging systems
A dynamic model of collaborative tagging is presented that predicts regularities in user activity, tag frequencies, kinds of tags used, bursts of popularity in bookmarking and a remarkable stability in the relative proportions of tags within a given URL.
Predicting the Future with Social Media
Predicting the popularity of online content
Early patterns of Digg diggs and YouTube views reflect long-term user interest.
Free Riding on Gnutella
It is argued that free riding leads to degradation of the system performance and adds vulnerability to the system, and copyright issues might become moot compared to the possible collapse of such systems.
The dynamics of viral marketing
While on average recommendations are not very effective at inducing purchases and do not spread very far, this work presents a model that successfully identifies communities, product, and pricing categories for which viral marketing seems to be very effective.
The Structure of Collaborative Tagging Systems
A dynamical model of collaborative tagging is presented that predicts regularities in user activity, tag frequencies, kinds of tags used, bursts of popularity in bookmarking and a remarkable stability in the relative proportions of tags within a given url.
Search in Power-Law Networks
- Lada A. Adamic, R. Lukose, Amit R. Puniyani, B. Huberman
- Computer SciencePhysical review. E, Statistical, nonlinear, and…
- 20 March 2001
A number of local search strategies that utilize high degree nodes in power-law graphs and that have costs scaling sublinearly with the size of the graph are introduced and demonstrated on the GNUTELLA peer-to-peer network.
Social Networks that Matter: Twitter Under the Microscope
A study of social interactions within Twitter reveals that the driver of usage is a sparse and hidden network of connections underlying the “declared” set of friends and followers.
Influence and passivity in social media
An algorithm is proposed that determines the influence and passivity of users based on their information forwarding activity and it is demonstrated that high popularity does not necessarily imply high influence and vice-versa.
Rhythms of social interaction: messaging within a massive online network
This paper studies the social net- work service Facebook, which began in early 2004 in select universities, but grew quickly to encompass a very large number of universities.