Mobile Communications

""Traffic measurements, road safety studies, and surveys are required for efficient road planning and ensuring the safety of transportation. Unfortunately, these methods can be cumbersome and very expensive. In this paper we point out a source of transportation information that is based on collaborative community-based navigation applications, such as Waze. Partial and anonimized information publicly exposed by Waze through their application provides valuable information that can significantly ease the future of transportation studies. Moreover, we show that Waze user reports may expose locations plagued with accidents but in lacking police coverage. This knowledge may help police departments to improve road safety by relocating the police units to these locations. Lastly,
the data discussed in this paper connects transportation and
road safety research to location based services and social network platforms.""

Este trabalho descreve a análise de requisitos e concepção de artefato social para regulação de dificuldades de aprendizagem de conteúdos abordados no ensino médio presencial com tecnologia. A concepção e o desenvolvimento, do artefato social para avaliação formadora, serão descritos com protótipos iterativos, a partir de cenários descritos a luz da Teoria da Atividade. Foram construídos vários protótipos de baixa fidelidade até chegar ao protótipo a ser implementado para essa pesquisa de doutorado em andamento.

While much research work has been carried out in relation to the expertise of individuals in the domains of Q&A portals, special interest group portals, Wikipedia, blogs, and conference reviews, very little research has been done in relation to expertise measurement, based upon online professional social networks such as LinkedIn. Existing approaches have been based on evidence-based analysis from textual sources and communications. In this paper, we propose an expertise model based on expertise vectors composed of attributes and values derived by integrating information obtained in the two following ways:  semi-automatic calculation utilizing online professional profile information collected from diverse online sources such as professional social network sites and some level of manual expertise identification by individuals. Unlike past approaches focusing on expertise measurement based on analysis of ‘secondary’ evidence such as textual communications and/or social network activities, this is a novel approach to identifying expertise based on real-world work experience, qualifications and other skills indicated via information found in online professional profiles, often from professional social network sites. Given contemporary professional social network sites can have 100s of millions of participants such automated expertise measurement approaches are a step towards fine-grained, up-to-date and population-wide expertise capture and quantification.

The design of icons and the choice of names for applications on mobile electronic devices have a great predictive validity for consumer acceptance. Graphical and textual elements stimulate expectations about the function of apps that are strongly correlated with intention and further with actual downloads.

Online gossip has been recognized as small talk on social networking sites (SNSs) that influences consumer behavior, but little attention has been paid to its role. This study makes three theoretical predictions: (a) propensity to gossip online leads to greater information value, entertainment value, and friendship value; (b) upon exposure to a high-involvement product, online gossipers are more willing to spread such information through electronic word-of-mouth (eWOM) in search of prestige or fame as a knowledge expert; and (c) this tendency will be more pronounced when they are connected with strong ties (rather than weak ties) and belong to a large network (rather than a small network). An experimental survey was conducted with a scenario method. In total, 818 general consumers participated in the survey. A multivariate analysis of variance (ANOVA) provides empirical support for prediction (1). With regard to predictions (2) and (3), a series of three-way and two-way between-subjective ANOVAs were performed. When a high-involvement product is promoted, gossipers, rather than nongossipers, are more willing to participate in eWOM on an SNS. Furthermore, a significant interaction effect indicates that online gossipers' willingness to particiapte in eWOM would be more pronounced if they belonged to a large network rather than a small network. However, when a low-involvement product is promoted, no interaction effect is found between online gossip and network size. In closing, theoretical and managerial implications are discussed, while important limitations are recognized.

El auge del uso de las redes sociales en el mundo desarrollado ha provocado que los medios de comunicación centren su interés en ellos. En España, en el último año, los medios más importantes han creado su propia página en las redes más visitadas o bien han incluido la opción de que los usuarios compartan sus contenidos a través de las propias redes sociales. Esta nueva situación plantea no sólo un análisis básico de la repercusión que la aplicación de redes sociales puede suponer para los medios, sino también evaluar cuáles utilizan y con qué finalidad

As part of the ANAMIA research project, we designed an innovative tool for the dynamic visualization of the results on an online survey. How to o visualize, explore, analyze a huge set of personal network data collected via a Website? ANAMIA CORPUS manages a questionnaires and helps their interpretation in a very intuitive way.

This paper develops a methodology to aggregate signals in a network regarding some hidden state of the world. We argue that focusing on edges around hubs will under certain circumstances amplify the faint signals disseminating in a network, allowing for more efficient detection of that hidden state. We apply this method to detecting emergencies in mobile phone data, demonstrating that under a broad range of cases and a constraint in how many edges can be observed at a time, focusing on the egocentric networks around key hubs will be more effective than sampling random edges. We support this conclusion analytically, through simulations, and with analysis of a dataset containing the call log data from a major mobile carrier in a European nation.

"Abstract
This paper examines the transformations of the teaching profession in the age of the Information Society, when new technological environments are emerging and influencing the practice of teaching and its planning.
Our aim in this study is to review and analyze different approaches and perspectives that were developed regarding professional teacher training and the meaning and nature of this profession. Following this analysis, we will confirm the existence of four core dimensions in the development and training of the teaching profession: the academic and disciplinary dimension, the technical-pedagogical dimension, the personal and reflective dimension and the dimension of social-communitarian criticism.
In the end, we will conclude that the emerging of new technological environments has contributed to essential changes in those dimensions. Besides, we will note that a fifth dimension is emerging, which will be called “digital dimension in the professional teaching training”.
"

"Recent advances in integrated electronic devices motivated the use of Wireless Sensor Networks (WSNs) in many applications including domain surveillance and mobile target tracking, where a number of sensors are scattered within a sensitive region to detect the presence of intruders and forward related events to some analysis center(s). Obviously, sensor deployment should guarantee an optimal event detection rate and should reduce coverage holes. Most of the coverage control approaches proposed in the literature deal with two-dimensional zones and do not develop strategies to handle coverage in three-dimensional domains, which is becoming a requirement for many applications including water monitoring, indoor surveillance, and projectile tracking. This paper proposes efficient techniques to detect coverage holes in a 3D domain using a finite set of sensors, repair the holes, and track hostile targets. To this end, we use the concepts of Voronoi tessellation, Vietoris complex, and retract by deformation. We show in particular that, through a set of iterative transformations of the Vietoris complex corresponding to the deployed sensors, the number of coverage holes can be computed with a low complexity. Mobility strategies are also proposed to repair holes by moving appropriately sensors towards the uncovered zones. The tracking objective is to set a non-uniform WSN coverage within the monitored domain to allow detecting the target(s) by the set of sensors. We show, in particular, how the proposed algorithms adapt to cope with obstacles. Simulation experiments are carried out to analyze the efficiency of the proposed models. To our knowledge, repairing and tracking is addressed for the first time in 3D spaces with different sensor coverage schemes.

http://www.ncbi.nlm.nih.gov/pubmed/22163733 "