A few chirps about twitter

Krishnamurthy, Balachander; Gill, Peter; Arlitt, Martin

doi:10.1145/1397735.1397741

Cited by 496 publications

(336 citation statements)

References 8 publications

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“…Its significance is obvious from the facts that the counters which measure the popularity of tweets are everywhere on the web and that many companies are using Twitter as an advertising tool. There have already been many data related to Twitter [1,2,3,4,5,6,7] presented in the literature.…”

Section: Introductionmentioning

confidence: 99%

A stochastic model of tweet diffusion on the Twitter network

Kawamoto

2013

Physica A: Statistical Mechanics and its Applications

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Section: Introductionmentioning

confidence: 99%

A stochastic model of tweet diffusion on the Twitter network

Kawamoto

2013

Physica A: Statistical Mechanics and its Applications

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“…Figure 1 is the scatter plot of in-/out-degrees of each user in the March Dataset. We see some similarities to the Twitter social network [11]. For instance, there are a number of users who have much larger number of followers than the number of users they are following (horizontal lines near y = 0).…”

Section: B Related Workmentioning

confidence: 73%

Privacy settings from contextual attributes: A case study using Google Buzz

Mashima

Sarkar

Shi

et al. 2011

2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)

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Abstract-Social networks provide users with privacy settings to control what information is shared with connections and other users. In this paper, we analyze factors influencing changes in privacy-related settings in the Google Buzz social network. Specifically, we show statistics on contextual data related to privacy settings that are derived from crawled datasets and analyze the characteristics of users who changed their privacy settings. We also investigate potential neighboring effects among such users.

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“…The Twitter OSN has been of interest to researchers since 2007 and there have been several attempts [8,10,12,14] to crawl the Twitter network 1 . Recently a large crawl of the entire Twitter social network in July 2009, containing about 41.7 million nodes and 1.47 billion follow-edges, has been made publicly available [14]; we use this data for empirical measurements in this paper.…”

Section: Empirical Measurements On the Twitter Social Networkmentioning

confidence: 99%

Assessing the Effects of a Soft Cut-Off in the Twitter Social Network

2011

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Abstract. Most popular OSNs currently restrict the number of social links that a user can have, in order to deal with the problems of increasing spam and scalability in the face of a rapid rise in the number of users in recent years. However such restrictions are often being criticized by socially active and popular users, hence the OSN authorities are facing serious design-choices while imposing restrictions; this is evident from the innovative 'soft' cut-off recently imposed in Twitter instead of the traditional 'hard' cut-offs in other OSNs. Our goal in this paper is to develop an analytical framework taking the restriction in Twitter as a case-study, that can be used to make proper design-choices considering the conflicting objectives of reducing system-load and minimizing userdissatisfaction. We consequently define a simple utility function considering the above two objectives, and find that Twitter's policy well balances both. From a network science perspective, this is the first analysis of 'soft' cut-offs in any sort of network, to the best of our knowledge.

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A few chirps about twitter

Cited by 496 publications

References 8 publications

A stochastic model of tweet diffusion on the Twitter network

A stochastic model of tweet diffusion on the Twitter network

Privacy settings from contextual attributes: A case study using Google Buzz

Assessing the Effects of a Soft Cut-Off in the Twitter Social Network

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