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The Social Network Analysis (SNA) techniques allow modelling and analysing the interaction among individuals based on their attributes and relationships. This approach has been used by several researchers in order to measure the social processes in collaborative learning experiences. But oftentimes such measures were calculated at the final state of experiences, what may be hardly representative of...
In recent times, gamification has become a popular technique to aid online communities stimulate active member participation. Gamification promotes a reward-driven approach, usually measured by response-time. Possible concerns of gamification could a trade-off between speedy over quality responses. Conversely, bias toward easier question selection for maximum reward may exist. In this study, we analyze...
Code clone analysis is a very active subject of study, and research on inter-project code clones is starting to emerge. In the context of software package repositories specifically, developers are confronted with the choice between depending on code implemented in other packages, or cloning this code in their own package. This article presents an empirical study of identical function clones in the...
The features of complexity and dynamism characterize a social network and its processes. A network node, to perform a decision-making process, will have to consider its personal knowledge and also the influences received from its surroundings. The relationships of each single node change over the time, according to the dynamic evolution of the social network, altering at each time the relations between...
This paper presents a highly parallel solution for cross-document co reference resolution, which can deal with billions of documents that exist in the current web. At the core of our solution lies a novel algorithm for community detection in large scale graphs. We operate on graphs which we construct by representing documents' keywords as nodes and the colocation of those keywords in a document as...
This study describes and evaluates a novel trust model for a range of collaborative applications. The model assumes that humans routinely choose to trust their peers by relying on few recurrent presumptions, which are domain independent and which form a recognisable trust expertise. We refer to these presumptions as trust schemes, a specialised version of Walton's argumentation schemes. Evidence is...
Brazil has a multi-party political system with 30 registered parties (as of 2013). However, anyone who knows a little about politics understands that is nearly impossible to have 30 dimensions of political positions (e.g. center, left, right, center-left, etc.) with no overlap. Hence, the obvious challenge is to understand this party system and how parties group together. However there is no obvious...
Many current spoken dialogue systems for search are domain-specific and do not take into account the preferences and interests of the user. In order to provide a more personalized answer tailored to the user needs, we propose a spoken dialogue system where user interests are expressed as scores in modular ontologies. This also allows us to cover multiple domains (e.g. searching for restaurant, housing,...
In this paper we discuss how the concept of implicit groups is used to build and manage extended user profiles enabling an easier way to supply personalized features and/or information, and guide their dynamic updating. This approach extends the individual user profiles, which are explicitly defined by the user in typical interactive applications and environments, with additional information that...
The mainstream approach for community detection focuses on the optimization of a metric that measures the quality of a partition over a given network. Optimizing a global metric is akin to community assignment by a centralized decision maker. In liu of global optimization, we treat each node as a player in a hedonic game and focus on their ability to form fair and stable community structures. Application...
In this article we present a system capable of graphically representing the interactions between students and teachers in hierarchical online forums. By defining the âreply-to' relation between the users the system builds a graph. During forum posts mining, the system computes metrics taken from social network analysis which are then applied to the graph drawing process. This system brings...
Online learning systems in general and virtual universities in particular received considerable attention and had an increasing growth through two last decades. However, the acceptance and enough support from stakeholders sounds to be the main challenges of this kind of educational systems. Regarding this issue, the recent study is aimed to propose and validate a methodology for measuring social responsibility...
We address the relation between persuasion and virality in social networks and provide preliminary findings based on a Digg dataset. In particular we want to understand whether a content categorized as persuasive (according to various metrics) can be categorized as viral as well. Results show that the persuasive properties of a content are related to its virality in different ways. These findings...
Although community detection has drawn tremendous amount of attention across the sciences in the past decades, no formal consensus has been reached on the very nature of what qualifies a community as such. In this article we take an orthogonal approach by introducing a novel point of view to the problem of overlapping communities. Instead of quantifying the quality of a set of communities, we choose...
In this paper, we present the birth, growth, and maturation of Aspect-Oriented Software Development (AOSD) research over the last years, with emphasis on the Brazilian AOSD community and its research contributions. These research contributions are illustrated from different perspectives: (i) an overview of the research work developed by our community in several prominent software engineering areas;...
Several works on agile methods discuss the use of team's workspace for displaying relevant information. The management of an Informative Workspace (IW) is a challenging task as it can involve many different subjects such as team adaptability, continuous reflection, workspace layout, human cognition, usability, etc. Our paper explores the IW management and it is divided in two phases. The first phase...
Complex service-oriented systems typically span interactions between people and services. Compositions in such systems demand for flexible interaction models. In this work we introduce an approach for discovering experts based on their dynamically changing skills and interests. We discuss human provided services and an approach for managing user preferences and network structures. Experts offer their...
Our work focuses on selecting a trusted service from service consumer's perspective. First, we distinguish the two kinds of trust context to separate the ability of service as both a service provider and a service consumer in a service web; and we classify the reputation into two different categories. Second we generate a reputation metric model by improving Subject Logic. The trust decision model...
Quality of Experience (QoE) has recently gained recognition for being an important determinant of the success of new technologies. Despite the growing interest in QoE, research into this area is still fragmented. Similar - but separate - efforts are being carried out in technical as well as user oriented research domains, which are rarely communicating with each other. In this paper, we take a multidisciplinary...
Peer-to-peer (P2P) computing may trigger a revolution in the near future because of its ease of use, huge choice and low price. Its chief features are anonymous, independent, dynamic, and absent of centralized server. Due to these features, on the other hand, P2P networks are often insecure and easily suffer from the malicious attacks. Besides, the peers in the system should cooperate in order for...
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