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Statistical analysis of the social network and discussion threads in slashdot
We analyze the social network emerging from the user comment activity on the website Slashdot. The network presents common features of traditional social networks such as a giant component, smallExpand
Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system
TLDR
This paper provides an analysis of human mobility data in an urban area using the amount of available bikes in the stations of the community bicycle program Bicing in Barcelona to detect temporal and geographic mobility patterns within the city. Expand
Core decomposition of uncertain graphs
TLDR
It is shown that core decomposition of uncertain graphs can be carried out efficiently as well, and the definitions and methods are evaluated on a number of real-world datasets and applications, such as influence maximization and task-driven team formation. Expand
Communication dynamics in twitter during political campaigns: The case of the 2011 Spanish national election
The irruption of social media in the political sphere is generating repositories of “Big Data,” which can be mined to gain insights into communication dynamics. The research reported here relies on aExpand
When the Wikipedians Talk: Network and Tree Structure of Wikipedia Discussion Pages
TLDR
Evidence of a specific assortativity profile which differentiates article discussions from personal conversations is found and an analysis of the tree structure of the article talk pages allows to capture patterns of interaction, and reveals structural differences among the discussions about articles from different semantic areas. Expand
Description and Prediction of Slashdot Activity
TLDR
A statistical analysis of user's reaction time to a new discussion thread in online debates on the popular news site Slashdot shows that a mixture of two log-normal distributions combined with the circadian rhythm of the community is able to explain with surprising accuracy the reaction time of comments within a discussion thread. Expand
Modeling the structure and evolution of discussion cascades
TLDR
The parameters of the model are learned efficiently using a novel maximum likelihood estimation scheme for PA and provide a figurative interpretation about the communication habits and the resulting discussion cascades on the four different websites. Expand
The structure of political discussion networks: a model for the analysis of online deliberation
This paper shows that online political discussion networks are, on average, wider and deeper than the networks generated by other types of discussions: they engage a larger number of participants andExpand
A likelihood-based framework for the analysis of discussion threads
TLDR
A framework based on generative models of growing trees to analyse the structure and evolution of discussion threads is proposed and provides significant insight into understanding how discussion cascades grow and have potential applications in broader contexts such as community management or design of communication platforms. Expand
Far from the eyes, close on the web: impact of geographic distance on online social interactions
TLDR
This work analyzes the relationship between online user interactions and geographic proximity with a detailed study of a large Spanish online social service and shows that while geographic distance strongly affects how social links are created, spatial proximity plays a negligible role on user interactions. Expand
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