Bridging the Gap Between the Least and the Most Influential Twitter Users

Social networks play an increasingly important role in shaping the behaviour of users of the Web. Conceivably Twitter stands out from the others, not only for the platform's simplicity but also for the great influence that the messages sent over the network can have. The impact of such messages determines the influence of a Twitter user and is what tools such as Klout, PeerIndex or TwitterGrader aim to calculate. Reducing all the factors that make a person influential into a single number is not an easy task, and the effort involved could become useless if the Twitter users do not know how to improve it. In this paper we identify what specific actions should be carried out for a Twitterer to increase their influence in each of above-mentioned tools applying, for this purpose, data mining techniques based on classification and regression algorithms to the information collected from a set of Twitter users.This work has been partially founded by the European Commission Project ”SiSOB: An Observatorium for Science in Society based in Social Models” (http://sisob.lcc.uma.es) (Contract no.: FP7 266588), ”Sistemas Inalámbricos de Gestión de Información Crítica” (with code number TIN2011-23795 and granted by the MEC, Spain) and ”3DTUTOR: Sistema Interoperable de Asistencia y Tutoría Virtual e Inteligente 3D” (with code number IPT-2011-0889- 900000 and granted by the MINECO, Spain

Techcat project. how to evaluate and improve four dimensions of self-regulation in preeschool

Executive functions are a family of top down mental processes that directly affect the well-being, academic achievement and quality of life of people, and they are developed at an early age. Childhood education (3-6 years old) is an appropriate context to evaluate and to promote the development of those skills but, at the same time, it is necessary to provide tools so that teachers can observe and select individual activities for each student in the classroom. Some researchers have demonstrated that many activities can improve inhibition control and working memory in little children (Diamond, 2016; Traverso, Viterbori & Usai, 2015) but there are few tasks designed specifically for the different dimensions of inhibition control, and there is little research on effects using technological devices. In the TECHCAT Project, a multidisciplinary team of researchers are designing technological solutions to help observe, assess and improve self-regulation skills in a preschool context. Additionally, we consider the role of individuals, school and family factors in moderating children`s development of early self-regulation skills. We use a pre-post design (1 experimental and 2 control groups) with 180 children of 3-6 years old from a preschool in Malaga (Spain). In this paper, we show the characteristics of the experimental design (evaluated skills, standardized test, specific tasks, etc.), and we show results on the design process of the self-regulation tasks using adapted and original tasks: 15 motor inhibition tasks, 11 verbal inhibition tasks, 5 emotional inhibition tasks, and 7 delay reward tasks.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech. Ministerio de Ciencia y Tecnología