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Measurement and analysis of online social networks
- A. Mislove, M. Marcon, K. Gummadi, P. Druschel, Bobby Bhattacharjee
- Computer ScienceIMC '07
- 24 October 2007
This paper examines data gathered from four popular online social networks: Flickr, YouTube, LiveJournal, and Orkut, and reports that the indegree of user nodes tends to match the outdegree; the networks contain a densely connected core of high-degree nodes; and that this core links small groups of strongly clustered, low-degree node at the fringes of the network.
Measuring User Influence in Twitter: The Million Follower Fallacy
An in-depth comparison of three measures of influence, using a large amount of data collected from Twitter, is presented, suggesting that topological measures such as indegree alone reveals very little about the influence of a user.
On the evolution of user interaction in Facebook
It is found that links in the activity network tend to come and go rapidly over time, and the strength of ties exhibits a general decreasing trend of activity as the social network link ages.
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment
A new notion of unfairness, disparate mistreatment, is introduced, defined in terms of misclassification rates, which is proposed for decision boundary-based classifiers and can be easily incorporated into their formulation as convex-concave constraints.
Fairness Constraints: Mechanisms for Fair Classification
This paper introduces a flexible mechanism to design fair classifiers by leveraging a novel intuitive measure of decision boundary (un)fairness, and shows on real-world data that this mechanism allows for a fine-grained control on the degree of fairness, often at a small cost in terms of accuracy.
A measurement-driven analysis of information propagation in the flickr social network
Analysis of large-scale traces of information dissemination in the Flickr social network finds that even popular photos do not spread widely throughout the network, and the role of word-of-mouth exchanges between friends in the overall propagation of information in the network is questioned.
The impact of DHT routing geometry on resilience and proximity
- K. Gummadi, R. Gummadi, S. Gribble, S. Ratnasamy, S. Shenker, I. Stoica
- Computer ScienceSIGCOMM '03
- 25 August 2003
The basic finding is that, despite the initial preference for more complex geometries, the ring geometry allows the greatest flexibility, and hence achieves the best resilience and proximity performance.
Measurement, modeling, and analysis of a peer-to-peer file-sharing workload
- K. Gummadi, R. J. Dunn, S. Saroiu, S. Gribble, H. Levy, J. Zahorjan
- Computer ScienceSOSP '03
- 19 October 2003
Unlike the Web, whose workload is driven by document change, it is demonstrated that clients' fetch-at-most-once behavior, the creation of new objects, and the addition of new clients to the system are the primary forces that drive multimedia workloads such as Kazaa.
King: estimating latency between arbitrary internet end hosts
The accuracy of King is significantly better than the accuracy of IDMaps, and that King tends to preserve order among its latency estimates, as well as a variety of measurement studies and applications that could benefit from the tool.
Equity of Attention: Amortizing Individual Fairness in Rankings
The challenge of achieving amortized individual fairness subject to constraints on ranking quality as an online optimization problem is formulated and solved as an integer linear program and it is demonstrated that the method can improve individual fairness while retaining high ranking quality.