Article history: Received 24 January 2013 Received in revised form 25 September 2013 Accepted 30 October 2013 Available online 7 November 2013

We report on an experiment designed to explore whether allowing individuals to voice their anger prevents costly punishment. For this sake, we use an ultimatum minigame and distinguish two treatments: one in which responders can only accept or reject the offer, and the other in which they can also scold the proposer. By an unannounced successive two-person public goods game, with either the sam...

Learning from Crowds (LFC) seeks to induce a high-quality classifier training instances, which are linked range of possible noisy annotations crowdsourcing workers under their various levels skills and own preconditions. Recent studies on LFC focus designing new methods improve the performance trained crowdsourced labeled data. To this day, however, there remain under-explored security aspects ...

In the area of Web 2.0, many studies have proved online feedback has an important impact on online users’ buying behaviour, considering the crowds influence mostly. Based on the data from Last.fm website, our study examines the impact of both friends and crowds online feedback, compare the different influences of these two factors on users’ behaviour, and find out how these effects change in th...

In the area of Web 2.0, many studies have proved online feedback has an important impact on online users’ buying behaviour, considering the crowds influence mostly. Based on the data from Last.fm website, our study examines the impact of both friends and crowds online feedback, compare the different influences of these two factors on users’ behaviour, and find out how these effects change in th...

In motion picture movies, large crowds of computer-generated characters are usually included to produce battle scenes of epic proportions. In video games, it is common to find crowds that conform armies controlled by users (or AI) in real-time strategy games, or crowds made of non-player characters (e.g., groups of spectators in a stadium). In virtual environments, it is common to find crowd si...

Abstract: We have proposed an adaptive content distribution network (CDN), FCAN (Flash Crowds Alleviation Network), which changes its structure dynamically against a flash crowd, that is a rapid increase in server load caused by a sudden access concentration. FCAN in our preceding studies responds only to static content delivery. In this paper, we extend FCAN to alleviate flash crowds in video ...

Crowds provides probable innocence in the face of large number of attackers. In this paper, we present the experimental results of the behavior of Crowds in a dense network. We begin by providing a brief description about Crowds followed by the experimental environment in which the simulations were carried out. We then present the results of our simulations and the inferences made out of them. ...

Purpose – Reliability and political bias of mass media has been a controversial topic in the literature. The purpose of this paper is to propose and implement a methodology for fully automatic evaluation of the political tendency of the written media on the web, which does not rely on subjective human judgments. Design/methodology/approach – The underlying idea is to base the evaluation on full...