Viral marketing seeks to maximize the spread of a campaign through an online social network, often targeting influential nodes with high centrality. In this article, we analyze behavioral aspects of influential users in trust-based product reviews communities, quantifying emotional expression, helpfulness, and user activity level. We focus on two independent product review communities, Dooyoo a...

Current literature on social media censorship examined various aspects of censorship. However, the relationship among censored social media users has received much less attention. We address this gap in the literature by constructing a complete dynamic data-flow graph that models the communication between users, identifies influential users, and utilizes a wide variety of metadata embedded in t...

Every HCI artefact reproduces a specific stance towards its users. Influential within the academic sphere is the notion of a UserCentered-Design process. However, observing actual design practice renders the assumption of the centrality of users problematic. To this end, the text conducts an exploration of the relationship between discourse within the fields of HCI and architecture. A special f...

The increasing amount of information flowing through commercial social networks offers clear advantages for companies who can take a valuable feedback from community actions. In particular, the identification of influential users in on-line social network can support companies in designing and targeting marketing campaigns, as influential gate-keepers and diffusers of information can ignite epi...

Influence maximization is an important research topic which has been extensively studied in various fields. In this paper, a stigmergybased approach has been proposed to tackle the influence maximization problem. We modelled the influence propagation process as ant’s crawling behaviours, and their communications rely on a kind of biological chemicals, i.e., pheromone. The amount of the pheromon...

Influential node detection is a central research topic in social network analysis. Many existing methods rely on the assumption that the network structure is completely known a priori. However, in many applications, network structure is unavailable to explain the underlying information diffusion phenomenon. To address the challenge of information diffusion analysis with incomplete knowledge of ...

A major deficiency in state-of-the-art automatic speech recognition (ASR) systems is the lack of robustness in additive and convolutional noise. The model of auditory perception (PEMO), developed by Dau et al. (1996a) for psychoacoustical purposes, partly overcomes these difficulties when used as a front end for automatic speech recognition. To further improve the performance of this auditory-b...

In this section, we briefly present the formalism we use. This formalism aims at describing the state of a system and its dynamic behaviour in an algebraic framework [DG 94]. It was first introduced in a case study on a formal specification of the embedded safety part of an automatic subway pilot [DM 91], [Dau 92], [DGM 93], in order to cope with the large number of variables whose values made ...