Influence maximization is the problem of selecting a set of influential users in the social network. Those users could adopt the product and trigger a large cascade of adoptions through the “word of mouth” effect. In this paper, we propose two evidential influence maximization models for Twitter social network. The proposed approach uses the theory of belief functions to estimate users influenc...

OBJECTIVE To investigate the associations between psychosocial conditions at work, social capital/social participation, and daily smoking. DESIGN/SETTING/PARTICIPANTS/MEASUREMENTS The 2000 public health survey in Scania is a cross sectional postal questionnaire study with a 59% participation rate. A total of 5180 persons aged 18-64 years that belonged to the work force and the unemployed were...

The Dempster Shafer theory of evidence has been used intensively to deal with uncer tainty in knowledge based systems How ever the representation of uncertain rela tionships between evidence and hypothesis groups heuristic knowledge is still a major research problem This paper presents an ap proach to representing such heuristic knowl edge by evidential mappingswhich are de ned on the basis of ...

Linear-time computational techniques have been developed for combining evidence which is available on a number of contending hypotheses. They offer a means of making the computation-intensive calculations involved more efficient in certain circumstances. Unfortunately, they restrict the orthogonal sum of evidential functions to the dichotomous structure − applies only to elements and their comp...

The article explores how the evidential meaning of ‘inference’, ‘perception’ and ‘hearsay’ transmitted resp. by the following French markers: faut croire [one should believe], on dirait [one should say] and paraît [it seems] is related to their parenthetical use. To address this question, we first analyze the syntactic and pragmatic function of these three parenthetical constituents, by showing...

For effective smart media service, a reliable and confidential context recognition is required to prepare and react properly. However, it is difficult to achieve a higher confidence level for several reasons. First, raw data from multiple sensors have different degrees of uncertainty. Second, generated contexts can indicate conflicting results, even though they are acquired by simultaneous oper...

The topology prediction of transmembrane protein is a hot research field in bioinformatics and molecular biology. It is a typical pattern recognition problem. Various prediction algorithms are developed to predict the transmembrane protein topology since the experimental techniques have been restricted by many stringent conditions. Usually, these individual prediction algorithms depend on vario...

This article proposes a perception scheme in the field of intelligent vehicles. The method exploits prior map knowledge and makes use of evidential grids constructed from the sensor data. Evidential grids are based on occupancy grids and the formalism of the Dempster–Shafer theory. Prior knowledge is obtained from a geographic map which is considered as an additional source of information and c...

For security-emphasizing fields that deal with evidential data acquisition, processing, communication, storage and presentation, for instance network forensics, border security and enforcement surveillance, ultimately the outcome is not the technical output but rather physical prosecutions in court (e.g. of hackers, terrorists, law offenders) or counter-attack measures against the malicious adv...