CEIoT: A Framework for Interlinking Smart Things in the Internet of Things

In the emerging Internet of Things (IoT) environment, things are interconnected but not interlinked. Interlinking relevant things offers great opportunities to discover implicit relationships and enable potential interactions among things. To achieve this goal, implicit correlations between things need to be discovered. However, little work has been done on this important direction and the lack of correlation discovery has inevitably limited the power of interlinking things in IoT. With the rapidly growing number of things that are connected to the Internet, there are increasing needs for correlations formation and discovery so as to support interlinking relevant things together effectively. In this paper, we propose a novel approach based on Multi-Agent Systems (MAS) architecture to extract correlations between smart things. Our MAS system is able to identify correlations on demand due to the autonomous behaviors of object agents. Specifically, we introduce a novel open-sourced framework, namely CEIoT, to extract correlations in the context of IoT. Based on the attributes of things our IoT dataset, we identify three types of correlations in our system and propose a new approach to extract and represent the correlations between things. We implement our architecture using Java Agent Development Framework (JADE) and conduct experimental studies on both synthetic and real-world datasets. The results demonstrate that our approach can extract the correlations at a much higher speed than the naive pairwise computation method

A Didactic Design Experiment:towards a Network Society Learning Paradigm

The ongoing transition from industrial to network society challenges educational practices and the process is characterised by opposing forces. At the political level, New Public Management initiatives oppose the general consensus that it is necessary to consolidate network society competencies. At the level of everyday educational practice we see a mounting tension between the quality of educational outcomes, in terms of genuine learning, and students’ strategies for dealing with an increasing pressure of efficiency and time. This article presents a design for teaching and learning experiment that aims to navigate these turbulent waters, scaffold genuine learning, satisfy learning objectives and ease the strain on students. Due to the experiences and knowledge derived from the experiment, the paper argues that the model behind the experiment demonstrates qualities that may be developed and refined and contribute to the educational system’s adjustment to the network society

The news gap in the «triple digital agenda»: The different interests of media, audience and networks

Digital transformations entail continually reviewing the various Communication models and processes. The influence of the media themselves as agenda setters for an ever more active audience and social networks that select and make certain content they receive viral are also affected by such a convergent context. This current research analyses a model called here the ‘triple agenda’ within the media themselves, in which the journalistic criterion of relevance and their audience’s preferences in the web and the networks travel along different paths. The proposal includes the users and the viral effect as influencing agents in the shape and selection of news, generating a news gap of interests between the media and their audiences. In order to test this model, we study an exploratory case in ElPaís.es, applying a content analysis to the information (n=420) distributed among the online front page, what is most read by the audience in its webpage, and the most viral in its Twitter account. The main objective is to check whether or not these three spheres of relevance operate independently, showing different informative interests f rom the thematic selection that the medium establishes f rom its agenda, its audience and its social networks. The results confirm that there is a gap in the informative interests of the three spheres analysed, especially between the agenda marked by the medium and the interests that are reflected in their web audience, which is more attracted to soft news and the clickbait technique; while there is a greater coincidence of interests between the newspaper’s front page and the users’ selection in their social networks.Las transformaciones digitales conllevan una revisión permanente de los modelos y procesos de la Comunicación. En este contexto convergente también se ve afectada la propia influencia de los medios como fijadores de la agenda frente a una audiencia cada vez más activa y unas redes sociales que seleccionan y viralizan el contenido que les llega. La presente investigación analiza un modelo denominado aquí de ‘triple agenda’ dentro de los propios medios, en los que discurren de manera diferente el criterio periodístico de relevancia y las preferencias de su audiencia en la web y las redes. La propuesta incluye a los usuarios y el efecto de la viralidad como actores influyentes en la conformación y selección noticiosa, generando una brecha, o news gap, de intereses informativos entre el medio y su audiencia. Para poner a prueba este modelo, se recurre a un estudio de caso exploratorio en ElPaís.es, aplicando un análisis de contenido de sus informaciones (n=420), distribuidas entre la portada online, lo más leído por la audiencia en su web y lo más viralizado en su Twitter. El objetivo principal es comprobar si estas tres esferas de relevancia temática operan, o no, de forma independiente, mostrando intereses informativos dispares entre la selección temática que establece el medio desde su agenda, de su audiencia y de las redes. Los resultados confirman una brecha en el interés informativo de las tres esferas analizadas, especialmente entre la agenda que marca el medio y los intereses que reflejan su audiencia web, más atraída por las soft news y las técnicas del clickbait, mientras que existe una mayor coincidencia de intereses entre la portada periodística y la selección de los usuarios en sus redes sociales

Spartan Daily, November 12, 2001

Volume 117, Issue 52https://scholarworks.sjsu.edu/spartandaily/9757/thumbnail.jp

Spartan Daily, November 12, 2001

Volume 117, Issue 52https://scholarworks.sjsu.edu/spartandaily/9757/thumbnail.jp