Comparative analysis of articulated and behavioural social networks in a social news sharing website

Kaltenbrunner, Andreas; González, Gustavo; Querol, Ricard Ruiz de; Volkovich, Yana

doi:10.1080/13614568.2011.598192

Cited by 6 publications

(6 citation statements)

References 22 publications

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“…Indeed, a later study found that 67.6 percent of users said that they use Menéame not only to read stories but also to participate in the discussion threads, while 31.5 percent of users were only interested in reading stories (Ferreras Rodríguez, ). The implicit social network of user interactions through comments has been investigated in Kaltenbrunner, Gonzalez, Ruiz De Querol, and Volkovich () and the heterogeneity of user behavior in Menéame was also analyzed in Marín () usuario from an ethnographic perspective. In particular, Marín () described Menéame as a virtual community that has developed a particular cyber‐culture based on social structures and their own code of practices.…”

Section: Menéamementioning

confidence: 99%

Detecting Platform Effects in Online Discussions

Aragón¹,

Gómez²,

Kaltenbrunner³

2017

Policy & Internet

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Online discussions are the essence of many social platforms on the Internet. These platforms are receiving increasing interest because of their potential to become deliberative spaces. Many studies have proposed approaches to measure online deliberation and to evaluate which are the best design principles for deliberative online platforms. However, little research has focused on how deliberation in online platforms is affected by the arrival of events like the emergence of new topics or the modification of platform features. In this article we present a methodology to detect events that affect online deliberation in online discussions. Our results on Menéame, the most popular Spanish social news site, show that a change in how discussions are shown to the user, from a linear to a hierarchical conversation view, significantly enhanced deliberation. In particular we observe that this type of interface induced argumentative structures of online discussion.

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Section: Menéamementioning

confidence: 99%

Detecting Platform Effects in Online Discussions

Aragón¹,

Gómez²,

Kaltenbrunner³

2017

Policy & Internet

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“…Hence, several studies have addressed the structural properties of the social networks arising among users of these services (Kumar et al, 2006;Ahn et al, 2007). In addition, these properties shed light on whether user behavior is purely social or, instead, more influenced by other non-social factors, resulting in online behavior appearing different than what is observed in "offline" reallife social ties (Mislove et al, 2007;Kaltenbrunner et al, 2011;Kwak et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

The Impact of Geographic Distance on Online Social Interactions

Laniado¹,

Volkovich²,

Scellato

et al. 2017

Inf Syst Front

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Online social networking services entice millions of users to spend hours every day interacting with each other. The focus of this work is to explain the effect that geographic distance has on online social interactions and, simultaneously, to understand the interplay between the social characteristics of friendship ties and their spatial properties. We analyze data from a large-scale online social network, Tuenti, with about 10 million active users: our sample includes user profiles, user home locations and online social interactions among Tuenti members. Our findings support the idea that spatial distance constraints whom users interact with, but not the intensity of their social interactions. Furthermore, friendship ties belonging to denser connected groups tend to arise at shorter spatial distances than social ties established between members belonging to different groups. Finally, we show that our findings mostly do not depend on the age of the users, although younger users seem to be slightly more constrained to shorter geographic distances. Augmenting social structure with geographic information adds a new dimension to social network analysis and a large number of theoretical investigations and practical applications can be pursued for online social systems, with

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“…For the experimental study, we employed two data sets: Dataset TREC-2 10 000 terms (pruned) Meneame 5780 users (pruned) [59] provides details about the Meneame data set and [60] describes the TREC-2 data collection. The terms and users were selected (pruned) to avoid effects from sparse or noisy data.…”

Section: Data Setsmentioning

confidence: 99%

Harmony Assumptions in Information Retrieval and Social Networks

Roelleke

Kaltenbrunner

Baeza-Yates

2015

The Computer Journal

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In many applications, independence of event occurrences is assumed, even if there is evidence for dependence. Capturing dependence leads to complex models, and even if the complex models were superior, they fail to beat the simplicity and scalability of the independence assumption. Therefore, many models assume independence and apply heuristics to improve results. Theoretical explanations of the heuristics are seldom given or generalizable. This paper reports that some of these heuristics can be explained as encoding dependence in an exponent based on the generalized harmonic sum. Unlike independence, where the probability of subsequent occurrences of an event is the product of the single event probability, harmony is based on a product with decaying exponent. For independence, the sequence probability is p 1+1+•••+1 = p n , whereas for harmony, it is p 1+1/2+•••+1/n . The generalized harmonic sum leads to a spectrum of harmony assumptions. This paper shows that harmony assumptions naturally extend probability theory. An experimental evaluation for information retrieval (IR; term occurrences) and social networks (SN's; user interactions) shows that assuming harmony is more suitable than assuming independence. The potential impact of harmony assumptions lies beyond IR and SN's, since many applications rely on probability theory and apply heuristics to compensate the independence assumption. Given the concept of harmony assumptions, the dependence between multiple occurrences of an event can be reflected in an intuitive and effective way.

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Comparative analysis of articulated and behavioural social networks in a social news sharing website

Cited by 6 publications

References 22 publications

Detecting Platform Effects in Online Discussions

Detecting Platform Effects in Online Discussions

The Impact of Geographic Distance on Online Social Interactions

Harmony Assumptions in Information Retrieval and Social Networks

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