MAC regenerative analysis of wireless Ad-Hoc networks

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Electrotécnica e de Computadores

A relational algebra approach to ETL modeling

The MAP-i Doctoral Programme in Informatics, of the Universities of Minho, Aveiro and Porto

Human-Computer Interaction with older people through ethnographical lenses: everyday interactions with ICT

Report for the scientific sojourn carried out at the School of Computing of the University of Dundee, United Kingdom, from 2010 to 2012. This document is a scientific report of the work done, main results, publications and accomplishment of the objectives of the 2-year post-doctoral research project with reference number BP-A 00239. The project has addressed the topic of older people (60+) and Information and Communication Technologies (ICT), which is a topic of growing social and research interest, from a Human-Computer Interaction perspective. Over a 2-year period (June 2010-June 2012), we have conducted classical ethnography of ICT use in a computer clubhouse in Scotland, addressing interaction barriers and strategies, social sharing practices in Social Network Sites, and ICT learning, and carried out rapid ethnographical studies related to geo-enabled ICT and e-government services towards supporting independent living and active ageing. The main results have provided a much deeper understanding of (i) the everyday use of Computer-Mediated Communication tools, such as video-chats and blogs, and its evolution as older people’s experience with ICT increases over time, (ii) cross-cultural aspects of ICT use in the north and south of Europe, (iii) the relevance of cognition over vision in interacting with geographical information and a wide range of ICT tools, despite common stereotypes (e.g. make things bigger), (iv) the important relationship offline-online to provide older people with socially inclusive and meaningful eservices for independent living and active ageing, (v) how older people carry out social sharing practices in the popular YouTube, (vi) their user experiences and (vii) the challenges they face in ICT learning and the strategies they use to become successful ICT learners over time. The research conducted in this project has been published in 17 papers, 4 in journals – two of which in JCR, 5 in conferences, 4 in workshops and 4 in magazines. Other public output consists of 10 invited talks and seminars.

Privacidad e intimidad en las interacciones virtuales

El presente trabajo es una revisión de la literatura de investigación en Ciberpsicología centrada en las categorías de privacidad, intimidad, identidad y vulnerabilidad, y en la forma como estas se desarrollan en las redes sociales virtuales. Los principales hallazgos indicaron que son los jóvenes quienes dedican gran parte de su tiempo a interactuar en dichas redes, y a su vez, dado el manejo que les dan, tienen mayor exposición ante los posibles riesgos de estas, como el matoneo, las conductas auto lesivas, la explotación sexual y los trastornos de la alimentación. Se describen estos riesgos y se proponen posibles soluciones.

Colaboração científica na temática redes sociais: análise bibliométrica do ENANCIB no período 2009 - 2010

The aim of this research is to point out the most productive researchers and institutions in the “Social Network” theme, in the ENANCIBs, from 2009 to 2010, as well as to describe their institutional scientific collaboration network. As research procedure, we searched for works with the entry network in the annuals of the event. 169 works were found, from which 120 were developed in co-authorship by 40 institutions. A matrix with the institutional coauthorships was created and the scientific collaboration network was reached. The results point out the same number of both most productive institutions and most productive authors. As for the scientific collaboration network, it is relevant that 37 institutions are interconnected by co-authorship. It’s also relevant that the studies in social network have been more and more present in the Information Science, mainly as investigative method for the construction of knowledge.

Avaliação da competitividade e da inserção em redes sociais dos piscicultores da UHE Canoas I

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Avaliação da competitividade e da inserção em redes sociais dos piscicultores da uhe canoas I

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Avaliação da competitividade e da inserção em redes sociais dos piscicultores da UHE Canoas I

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Fútbol y redes sociales. Análisis de la gestión de Relaciones Públicas 2.0 por los clubes de fútbol

Las relaciones públicas se configuran como una actividad esencial en la gestión de la comunicación con los públicos de los clubes de fútbol ya que son muy activos y su grado de reactividad es alto. Con este texto se analiza el papel que desempeñan las redes sociales en los clubes de fútbol que poseen mayor número de ingresos. Para ello, se desarrolla una metodología que estudia qué presencia tienen en las redes sociales, el número de seguidores, qué grado de interacción se produce entre clubes y públicos y los contenidos y las temáticas de los textos de las redes sociales. Los resultados muestran un público activo pero con intervenciones relacionadas con los resultados futbolísticos y una gestión comunicativa unidireccional por parte de los clubes.

The anatomy of urban social networks and its implications in the searchability problem

The appearance of large geolocated communication datasets has recently increased our understanding of how social networks relate to their physical space. However, many recurrently reported properties, such as the spatial clustering of network communities, have not yet been systematically tested at different scales. In this work we analyze the social network structure of over 25 million phone users from three countries at three different scales: country, provinces and cities. We consistently find that this last urban scenario presents significant differences to common knowledge about social networks. First, the emergence of a giant component in the network seems to be controlled by whether or not the network spans over the entire urban border, almost independently of the population or geographic extension of the city. Second, urban communities are much less geographically clustered than expected. These two findings shed new light on the widely-studied searchability in self-organized networks. By exhaustive simulation of decentralized search strategies we conclude that urban networks are searchable not through geographical proximity as their country-wide counterparts, but through an homophily-driven community structure.

Clustering Of Water Bodies In Unpolluted And Polluted Environments Based On Escherichia Coli Phylogroup Abundance Using A Simple Interaction Database.

Different types of water bodies, including lakes, streams, and coastal marine waters, are often susceptible to fecal contamination from a range of point and nonpoint sources, and have been evaluated using fecal indicator microorganisms. The most commonly used fecal indicator is Escherichia coli, but traditional cultivation methods do not allow discrimination of the source of pollution. The use of triplex PCR offers an approach that is fast and inexpensive, and here enabled the identification of phylogroups. The phylogenetic distribution of E. coli subgroups isolated from water samples revealed higher frequencies of subgroups A1 and B23 in rivers impacted by human pollution sources, while subgroups D1 and D2 were associated with pristine sites, and subgroup B1 with domesticated animal sources, suggesting their use as a first screening for pollution source identification. A simple classification is also proposed based on phylogenetic subgroup distribution using the w-clique metric, enabling differentiation of polluted and unpolluted sites.

Scientific authorships and collaboration network analysis on Chagas disease: papers indexed in PubMed (1940-2009)

Chagas disease is a chronic, tropical, parasitic disease, endemic throughout Latin America. The large-scale migration of populations has increased the geographic distribution of the disease and cases have been observed in many other countries around the world. To strengthen the critical mass of knowledge generated in different countries, it is essential to promote cooperative and translational research initiatives. We analyzed authorship of scientific documents on Chagas disease indexed in the Medline database from 1940 to 2009. Bibliometrics was used to analyze the evolution of collaboration patterns. A Social Network Analysis was carried out to identify the main research groups in the area by applying clustering methods. We then analyzed 13,989 papers produced by 21,350 authors. Collaboration among authors dramatically increased over the study period, reaching an average of 6.2 authors per paper in the last five-year period. Applying a threshold of collaboration of five or more papers signed in co-authorship, we identified 148 consolidated research groups made up of 1,750 authors. The Chagas disease network identified constitutes a "small world," characterized by a high degree of clustering and a notably high number of Brazilian researchers.

Social Media Integration in Video Games GameNshare: A Social Overlay for Desktop Games

The ever increasing popularity of social media makes it a promising source for the personalization of gameplay experiences. Furthermore, involving social network friends in a game can greatly enrich the satisfaction of the player and also attract potential novel players to a game. This master thesis describes a social overlay designed for desktop games, called GameNshare. It allows players to easily capture and share with multiple social networks game-related screenshots, videos and stories. Additionally, it also provides asynchronous multiplayer game mechanics to directly integrate social network friends in the game. GameNshare was designed to interact with the users in a non-intrusive way allowing them to be in complete control of what is shared. It prevents unsolicited sharing of messages, a key problem in social media integration tools, by the use of built-in message monitoring and anti-spam measures. GameNshare was specially designed for players aged from 18 to 25 years that are regular users of Twitter and Facebook. It was tested by a group of 10 individuals from the target age range that were surveyed to capture their insights on the use of the social overlay. The implemented GameNshare features were well accepted by the testers that were also useful in highlighting features for future development. GameNshare ultimate goal is to make players look and ask for social integration and allow them to take full advantage of their social communities to improve gaming experiences.

Clustering in complex networks. II. Percolation properties

The percolation properties of clustered networks are analyzed in detail. In the case of weak clustering, we present an analytical approach that allows us to find the critical threshold and the size of the giant component. Numerical simulations confirm the accuracy of our results. In more general terms, we show that weak clustering hinders the onset of the giant component whereas strong clustering favors its appearance. This is a direct consequence of the differences in the k-core structure of the networks, which are found to be totally different depending on the level of clustering. An empirical analysis of a real social network confirms our predictions.

Small World Folksonomies: Clustering in Tri-Partite Hypergraphs

Many recent Web 2.0 resource sharing applications can be subsumed under the "folksonomy" moniker. Regardless of the type of resource shared, all of these share a common structure describing the assignment of tags to resources by users. In this report, we generalize the notions of clustering and characteristic path length which play a major role in the current research on networks, where they are used to describe the small-world effects on many observable network datasets. To that end, we show that the notion of clustering has two facets which are not equivalent in the generalized setting. The new measures are evaluated on two large-scale folksonomy datasets from resource sharing systems on the web.