861 resultados para Attributed Social Networks, Community Detection
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Mestrado em Engenharia Informática
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Mestrado em Auditoria
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Recruitment is based on a conglomerate of techniques and procedures put in place to attract qualified. The recruitment process has suffered changes, becoming even more sophisticated, involving a whole organisation and a whole community. A new source of recruitment has emerged with the use of online social networks using facilitators in its development and usage, allowing the search for candidates to be fast, cheap and "global". In Portugal, the information available and studies conducted into this phenomenon are still irrelevant, with little reported on the importance of online social recruitment. The purpose of this article is to contribute to what is understood by the professional process of recruitment through online social media by recruitment companies in the Northern Region of Portugal, analysing the use of online media by recruitment professionals, facilitator support tools and the associated best practices.
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Dissertação para obtenção do Grau de Doutor em Ciências da Educação Especialidade em Tecnologias, Redes e Multimédia na Educação e Formação
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The Community Development and Health Network (CDHN) aim to end health inequalities using a community development approach - campaigning, influencing policy and developing best practice work which shows that communities, both geographical and of interest & identity, can define their own health needs and design and implement preventative and radical solutions. It believes that health is affected by more than access to health services, individual lifestyle choices and our own genetic make-up. These other factors can include poverty, the environment, education, living and working conditions, housing, access to food and social and community networks. This resource is part of the Public Health Advocacy Website Collection.
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In this chapter I will present some observations and results about Ritual Kinship and political mobilization of popular groups in an Alpine valley: the Val de Bagnes, in the Swiss canton of Valais, - a mountain valley, well known today thanks to the tourist station of Verbier - where we can rely on excellent sources about local families. This region presents a particular political situation, because the 11 major villages of the valley form only one commune, which includes the whole valley.¦There are two major reasons to choose the Val de Bagnes for our inquiry on kinship and social networks in a rural society:¦A. The existence of sharp political and social conflicts during the 18th and the 19th centuries;¦B. The existence of almost systematic genealogical data between 1700 and 1900. (Casanova, Gard, Perrenoud 2005-08)¦The 18th century was characterized by the struggle of an important part of the community of Bagnes against the feudal lord, the abbot of St-Maurice. The culminating point was a local upheaval in 1745 in Le Châble, during which the abbot was forced to sign several documents in accordance with the wishes of the rebels (Guzzi-Heeb 2007). In the 19th century feudal lordship was abolished, but now the struggle confronted a liberal-radical faction and the conservative majority in the commune.¦The starting point of my presentation focuses on this question: which role did spiritual kinship play in the political mobilization of popular groups and in the organization of competing factions? This question allows us to shed light on some utilizations and meanings of spiritual kinship in the local society. Was spiritual kinship a significant instrument for economic cooperation? Or was it a channel for privileged social contacts and transactions?
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Abstract The object of game theory lies in the analysis of situations where different social actors have conflicting requirements and where their individual decisions will all influence the global outcome. In this framework, several games have been invented to capture the essence of various dilemmas encountered in many common important socio-economic situations. Even though these games often succeed in helping us understand human or animal behavior in interactive settings, some experiments have shown that people tend to cooperate with each other in situations for which classical game theory strongly recommends them to do the exact opposite. Several mechanisms have been invoked to try to explain the emergence of this unexpected cooperative attitude. Among them, repeated interaction, reputation, and belonging to a recognizable group have often been mentioned. However, the work of Nowak and May (1992) showed that the simple fact of arranging the players according to a spatial structure and only allowing them to interact with their immediate neighbors is sufficient to sustain a certain amount of cooperation even when the game is played anonymously and without repetition. Nowak and May's study and much of the following work was based on regular structures such as two-dimensional grids. Axelrod et al. (2002) showed that by randomizing the choice of neighbors, i.e. by actually giving up a strictly local geographical structure, cooperation can still emerge, provided that the interaction patterns remain stable in time. This is a first step towards a social network structure. However, following pioneering work by sociologists in the sixties such as that of Milgram (1967), in the last few years it has become apparent that many social and biological interaction networks, and even some technological networks, have particular, and partly unexpected, properties that set them apart from regular or random graphs. Among other things, they usually display broad degree distributions, and show small-world topological structure. Roughly speaking, a small-world graph is a network where any individual is relatively close, in terms of social ties, to any other individual, a property also found in random graphs but not in regular lattices. However, in contrast with random graphs, small-world networks also have a certain amount of local structure, as measured, for instance, by a quantity called the clustering coefficient. In the same vein, many real conflicting situations in economy and sociology are not well described neither by a fixed geographical position of the individuals in a regular lattice, nor by a random graph. Furthermore, it is a known fact that network structure can highly influence dynamical phenomena such as the way diseases spread across a population and ideas or information get transmitted. Therefore, in the last decade, research attention has naturally shifted from random and regular graphs towards better models of social interaction structures. The primary goal of this work is to discover whether or not the underlying graph structure of real social networks could give explanations as to why one finds higher levels of cooperation in populations of human beings or animals than what is prescribed by classical game theory. To meet this objective, I start by thoroughly studying a real scientific coauthorship network and showing how it differs from biological or technological networks using divers statistical measurements. Furthermore, I extract and describe its community structure taking into account the intensity of a collaboration. Finally, I investigate the temporal evolution of the network, from its inception to its state at the time of the study in 2006, suggesting also an effective view of it as opposed to a historical one. Thereafter, I combine evolutionary game theory with several network models along with the studied coauthorship network in order to highlight which specific network properties foster cooperation and shed some light on the various mechanisms responsible for the maintenance of this same cooperation. I point out the fact that, to resist defection, cooperators take advantage, whenever possible, of the degree-heterogeneity of social networks and their underlying community structure. Finally, I show that cooperation level and stability depend not only on the game played, but also on the evolutionary dynamic rules used and the individual payoff calculations. Synopsis Le but de la théorie des jeux réside dans l'analyse de situations dans lesquelles différents acteurs sociaux, avec des objectifs souvent conflictuels, doivent individuellement prendre des décisions qui influenceront toutes le résultat global. Dans ce cadre, plusieurs jeux ont été inventés afin de saisir l'essence de divers dilemmes rencontrés dans d'importantes situations socio-économiques. Bien que ces jeux nous permettent souvent de comprendre le comportement d'êtres humains ou d'animaux en interactions, des expériences ont montré que les individus ont parfois tendance à coopérer dans des situations pour lesquelles la théorie classique des jeux prescrit de faire le contraire. Plusieurs mécanismes ont été invoqués pour tenter d'expliquer l'émergence de ce comportement coopératif inattendu. Parmi ceux-ci, la répétition des interactions, la réputation ou encore l'appartenance à des groupes reconnaissables ont souvent été mentionnés. Toutefois, les travaux de Nowak et May (1992) ont montré que le simple fait de disposer les joueurs selon une structure spatiale en leur permettant d'interagir uniquement avec leurs voisins directs est suffisant pour maintenir un certain niveau de coopération même si le jeu est joué de manière anonyme et sans répétitions. L'étude de Nowak et May, ainsi qu'un nombre substantiel de travaux qui ont suivi, étaient basés sur des structures régulières telles que des grilles à deux dimensions. Axelrod et al. (2002) ont montré qu'en randomisant le choix des voisins, i.e. en abandonnant une localisation géographique stricte, la coopération peut malgré tout émerger, pour autant que les schémas d'interactions restent stables au cours du temps. Ceci est un premier pas en direction d'une structure de réseau social. Toutefois, suite aux travaux précurseurs de sociologues des années soixante, tels que ceux de Milgram (1967), il est devenu clair ces dernières années qu'une grande partie des réseaux d'interactions sociaux et biologiques, et même quelques réseaux technologiques, possèdent des propriétés particulières, et partiellement inattendues, qui les distinguent de graphes réguliers ou aléatoires. Entre autres, ils affichent en général une distribution du degré relativement large ainsi qu'une structure de "petit-monde". Grossièrement parlant, un graphe "petit-monde" est un réseau où tout individu se trouve relativement près de tout autre individu en termes de distance sociale, une propriété également présente dans les graphes aléatoires mais absente des grilles régulières. Par contre, les réseaux "petit-monde" ont, contrairement aux graphes aléatoires, une certaine structure de localité, mesurée par exemple par une quantité appelée le "coefficient de clustering". Dans le même esprit, plusieurs situations réelles de conflit en économie et sociologie ne sont pas bien décrites ni par des positions géographiquement fixes des individus en grilles régulières, ni par des graphes aléatoires. De plus, il est bien connu que la structure même d'un réseau peut passablement influencer des phénomènes dynamiques tels que la manière qu'a une maladie de se répandre à travers une population, ou encore la façon dont des idées ou une information s'y propagent. Ainsi, durant cette dernière décennie, l'attention de la recherche s'est tout naturellement déplacée des graphes aléatoires et réguliers vers de meilleurs modèles de structure d'interactions sociales. L'objectif principal de ce travail est de découvrir si la structure sous-jacente de graphe de vrais réseaux sociaux peut fournir des explications quant aux raisons pour lesquelles on trouve, chez certains groupes d'êtres humains ou d'animaux, des niveaux de coopération supérieurs à ce qui est prescrit par la théorie classique des jeux. Dans l'optique d'atteindre ce but, je commence par étudier un véritable réseau de collaborations scientifiques et, en utilisant diverses mesures statistiques, je mets en évidence la manière dont il diffère de réseaux biologiques ou technologiques. De plus, j'extrais et je décris sa structure de communautés en tenant compte de l'intensité d'une collaboration. Finalement, j'examine l'évolution temporelle du réseau depuis son origine jusqu'à son état en 2006, date à laquelle l'étude a été effectuée, en suggérant également une vue effective du réseau par opposition à une vue historique. Par la suite, je combine la théorie évolutionnaire des jeux avec des réseaux comprenant plusieurs modèles et le réseau de collaboration susmentionné, afin de déterminer les propriétés structurelles utiles à la promotion de la coopération et les mécanismes responsables du maintien de celle-ci. Je mets en évidence le fait que, pour ne pas succomber à la défection, les coopérateurs exploitent dans la mesure du possible l'hétérogénéité des réseaux sociaux en termes de degré ainsi que la structure de communautés sous-jacente de ces mêmes réseaux. Finalement, je montre que le niveau de coopération et sa stabilité dépendent non seulement du jeu joué, mais aussi des règles de la dynamique évolutionnaire utilisées et du calcul du bénéfice d'un individu.
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We propose a procedure for analyzing and characterizing complex networks. We apply this to the social network as constructed from email communications within a medium sized university with about 1700 employees. Email networks provide an accurate and nonintrusive description of the flow of information within human organizations. Our results reveal the self-organization of the network into a state where the distribution of community sizes is self-similar. This suggests that a universal mechanism, responsible for emergence of scaling in other self-organized complex systems, as, for instance, river networks, could also be the underlying driving force in the formation and evolution of social networks.
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An increasing body of research has pointed to the relevance of social capital in studying a great variety of socio-economic phenomena, ranging from economics growth and development to educational attainment and public health. Conceptually, our paper is framed within the debates about the possible links between health and social capital, on one hand, and within the hypotheses regarding the importance of social and community networks in all stages of the dynamics of international migration, on the other hand. Our primary objective is to explore the ways social relations contribute to health differences between the immigrants and the native-born population of Spain. We also try to reveal differences in the nature of the social networks of foreign-born, as compared to that of the native-born persons. The empirical analysis is based on an individual-level data coming from the 2006 Spanish Health Survey, which contains a representative sample of the immigrant population. To assess the relationship between various health indicators (self-assessed health, chronic conditions and long-term illness) and social capital, controlling for other covariates, we estimate multilevel models separately for the two population groups of interest. In the estimates we distinguish between individual and community-level social capital. While the Health Survey contains information that allows us to define individual social capital measures, the collective indicators come from other official sources. In particular, for the subsample of immigrants, we proxy community-level networks and relationships by variables contained in the Spanish National Survey of Immigrants 2007. The results obtained so far point to the relevance of social capital as a covariate in the health equation, although, the significance varies according to the specific health indicator used. Additionally, and contrary to what is expected, immigrants’ social networks seem to be inferior to those of the native-born population in many aspects; and they also affect immigrant’s health to a lesser extent. Policy implications of the findings are discussed. Keywords: health status, social capital, immigration, Spain
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We propose a procedure for analyzing and characterizing complex networks. We apply this to the social network as constructed from email communications within a medium sized university with about 1700 employees. Email networks provide an accurate and nonintrusive description of the flow of information within human organizations. Our results reveal the self-organization of the network into a state where the distribution of community sizes is self-similar. This suggests that a universal mechanism, responsible for emergence of scaling in other self-organized complex systems, as, for instance, river networks, could also be the underlying driving force in the formation and evolution of social networks.
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Learning objects have been the promise of providing people with high quality learning resources. Initiatives such as MIT Open-CourseWare, MERLOT and others have shown the real possibilities of creating and sharing knowledge through Internet. Thousands of educational resources are available through learning object repositories. We indeed live in an age of content abundance, and content can be considered as infrastructure for building adaptive and personalized learning paths, promoting both formal and informal learning. Nevertheless, although most educational institutions are adopting a more open approach, publishing huge amounts of educational resources, the reality is that these resources are barely used in other educational contexts. This paradox can be partly explained by the dificulties in adapting such resources with respect to language, e-learning standards and specifications and, finally, granularity. Furthermore, if we want our learners to use and take advantage of learning object repositories, we need to provide them with additional services than just browsing and searching for resources. Social networks can be a first step towards creating an open social community of learning around a topic or a subject. In this paper we discuss and analyze the process of using a learning object repository and building a social network on the top of it, with respect to the information architecture needed to capture and store the interaction between learners and resources in form of learning object metadata.
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Social networking and social networking sites have gained popularity among internet users during the past few years. Social networks fulfill the need of users to stay connected to friends and other people interested in the same issues. Combining social networks to the mobile environment is a growing interest of mobile device users as it allows the users to be in their online social community despite their mobility. This thesis highlights the basics of mobile environment, social networking and PeerHood and introduces a new approach of social networking on mobile environment, which is a new concept in mobile social networking. This approach is based on dynamic group discovery in accordance to some common user interests and management in the PeerHood environment. A reference implementation of a social networking application built on top of PeerHood is presented and it is tested and analyzed to understand the social networking on mobile environment and the new concept of dynamic group discovery in it.
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The possibilities and expansion of the use of Web 2.0 has opened up a world of possibilities in online learning. In spite of the integration of these tools in education major changes are required in the educational design of instructional processes.This paper presents an educational experience conducted by the Open University of Catalonia using the social network Facebook for the purpose of testing a learning model that uses a participation and collaboration methodology among users based on the use of open educational resources.- The aim of the experience is to test an Open Social Learning (OSL) model, understood to be a virtual learning environment open to the Internet community, based on the use of open resources and on a methodology focused on the participation and collaboration of users in the construction of knowledge.- The topic chosen for this experience in Facebook was 2.0 Journeys: online tools and resources. The objective of this 5 weeks course was to provide students with resources for managing the various textual, photographic, audiovisual and multimedia materials resulting from a journey.- The most important changes in the design and development of a course based on OSL are the role of the teacher, the role of the student, the type of content and the methodology:- The teacher mixes with the participants, guiding them and offering the benefit of his/her experience and knowledge.- Students learn through their participation and collaboration with a mixed group of users.- The content is open and editable under different types of license that specify the level of accessibility.- The methodology of the course was based on the creation of a learning community able to self-manage its learning process. For this a facilitator was needed and also a central activity was established for people to participate and contribute in the community.- We used an ethnographic methodology and also questionnaires to students in order to acquire results regarding the quality of this type of learning experience.- Some of the data obtained raised questions to consider for future designs of educational situations based on OSL:- Difficulties in breaking the facilitator-centred structure- Change in the time required to adapt to the system and to achieve the objectives- Lack of commitment with free courses- The trend to return to traditional ways of learning- Accreditation- This experience has taught all of us that education can happen any time and in any place but not in any way.
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Previous research shows discrepant findings between youth leisure programming (before and after school programs, structured summer program, day camp, overnight camp), academic performance and other youth developmental outcomes. Studies underscores the importance of family, community and school social capital in educational success of youth, investigation of peer social capital in the leisure context and academic performance outcomes is limited. This study uses a sample of 10 and 11 year olds (N=1764) from the Canadian National Longitudinal Survey of Children and Youth (NLSCY) Cycle 6, to study the association between youth leisure programming, peer social capital and academic performance. Ordinal logistic regression models consistently showed a positive association between overnight camp and academic performance even after controlling for determinants of health, and measures of family, school and community social capital. Similarly, the measure of peer social capital was positively associated with academic performance. Most importantly, the interaction between overnight camp participation and peer social capital was significantly associated with academic performance. Study findings, highlight overnight camp opportunities and peer social
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Contexte : Au Québec, la très grande majorité des personnes âgées vivent dans un logement conventionnel. Pour celles qui sont en plus grande perte d’autonomie et qui ont besoin d’un environnement adapté à leurs besoins, soit environ 12 % de la population âgée de 65 ans ou plus en 2006, les options sont relativement limitées. Au 1er rang, on retrouve les résidences privées, pour ceux et celles qui en ont les moyens. Pour les autres, il y a les centres de soins de longue durée publics ou privés. Viennent ensuite les organismes sans but lucratif qui opèrent des projets résidentiels pour aînés, les communautés religieuses qui accueillent des personnes âgées dans leurs résidences, les ressources intermédiaires, les ressources de type familial, les habitations à loyer modique pour personnes âgées et les coopératives d’habitation. Les ressources alternatives du type projets novateurs arrivent en dernière position, ce qui explique que l’on en sait encore très peu sur la transition vers ce type d’hébergement. Problème et objet de recherche : La transition vers un milieu de vie substitut est un processus qui peut être potentiellement stressant dans la vie d’une personne âgée. Son réseau de soutien peut être appelé à jouer un rôle important pour l’aider à vivre cette transition avec plus de facilité. Si la littérature sur le soutien social est abondante, elle est plus limitée en ce qui concerne la relation entre le soutien social et la transition en milieu d’hébergement. La plupart des travaux recensés étudient les conséquences de l’hébergement durant les mois qui suivent le relogement. Quelques études analysent le processus décisionnel mais rares sont celles qui s’intéressent à toutes les étapes du processus qui précèdent le relogement. La plupart des recherches analysent surtout le point de vue des aidants et parfois celui des professionnels. Celui des personnes âgées est moins connu. But et objectifs : Le but de cette étude consiste à mieux comprendre comment opèrent les différentes formes de soutien social auprès des personnes âgées durant les diverses étapes du processus de transition en milieu d’hébergement. Plus précisément, elle vise à mieux comprendre comment ces personnes perçoivent les différents types de soutien apporté par leur réseau de soutien durant la transition, la signification que prend pour elles l’aide reçue, les besoins auxquels répond le soutien reçu et pourquoi elles apprécient ou non le soutien reçu. Cadre conceptuel : Cette recherche de type exploratoire et rétrospective se situe dans une approche des parcours de vie. La transition en milieu d’hébergement est étudiée comme un processus faisant partie de la trajectoire résidentielle de la personne. On privilégie une approche interactionnelle et constructiviste du soutien social qui accorde une attention plus grande aux interprétations subjectives des personnes faisant partie des réseaux de soutien. Méthodologie : On a interviewé huit (8) résidents (6 femmes et 2 hommes) de 64 ans ou plus, vivant dans un milieu d’hébergement alternatif de type projet novateur : les Habitations St-Christophe, une ressource alternative située dans la ville de Laval au Québec. Les perceptions des sujets du soutien social reçu durant la transition sont analysées à l’aide de la théorisation ancrée, la plus appropriée pour comprendre de l’intérieur le point de vue des participants. Résultats : L’analyse des perceptions des résidents interviewés du processus qui les a conduits aux Habitations St-Christophe a permis de mieux comprendre l’influence de leurs trajectoires résidentielles, les transitions ayant mené à leur hébergement, leurs perceptions du processus décisionnel et du rôle joué par des tiers dans les décisions prises, ainsi que les motifs de ces décisions, de même que le rôle joué par le soutien social durant la transition. Trois modèles de réseaux ont été identifiés, en tenant compte de la fréquence des contacts, de l’intensité des liens et de la disponibilité du soutien. Les formes les plus importantes de soutien reçu ont été identifiées à partir des perceptions des sujets de l’aide émotionnelle, instrumentale et cognitive fournie pendant la transition et de leur appréciation du soutien reçu. L’analyse a permis d’identifier deux modèles de transition (transition réfléchie, préparée et anticipée versus transition précipitée) et deux modèles de soutien (soutien valorisé versus soutien peu valorisé). Conclusions : Outre les éléments de convergence et les points de divergence observés entre nos résultats et la littérature, un certain nombre d’enseignements ont été retenus au niveau de l’intervention. Ceux-ci concernent les conditions gagnantes à mettre en place par les gestionnaires des services publics, certains principes à respecter dans les interventions, les mesures à prendre pour améliorer les interventions des professionnels et les interventions à mettre en place à l’intention des personnes âgées et de leurs proches aidants.