Search results for "Social network"
showing 10 items of 537 documents
Comunicar Conocimientos vs. Organizar el Conocimiento: la Gestión del Gen-preneur en el Aula
2014
Se han hecho innumerables pruebas para constatar que la creatividad es una habilidad crítica para los emprendedores y su formación emprendedora (Schmidt, J. et al. 2012), incluso se ha detectado que la práctica sobre el pensamiento divergente incrementa las habilidades emprendedoras de los estudiantes para generar un mayor número y rango de ideas, pero NO así, sus enfoques para la resolución creativa de problemas. Nuestro objetivo será mostrar que el emprendimiento es una faceta de la creatividad y que, el emprendedor "oculto" en el discente, necesitará observar y confirmar la existencia de condicionantes externos suficientes, para liberar su actitud emprendedora retenida, asimismo, será im…
Evolutionary Game Dynamics for Collective Decision Making in Structured and Unstructured Environments
2017
Abstract For a large population of players we consider a collective decision making process with three possible choices: option A or B or no option. The more popular option is more likely to be chosen by uncommitted players and cross-inhibitory signals can be sent to attract players committed to a different option. This model originates in the context of honeybees swarms, and we generalise it to accommodate other applications such as duopolistic competition and opinion dynamics. The first contribution is an evolutionary game model and a corresponding new game dynamics called expected gain pairwise comparison dynamics explaining how the strategic behaviour of the players may lead to deadlock…
Social networks and robot companions: Technology, ethics, and science fiction
2019
Information technologies have become part of our everyday lives and are increasingly acting as intermediaries in our workplaces and personal relationships or even substituting them. This growing interaction with machines poses several questions about which we have no previous experience, nor can we reliably predict how they will influence the evolution of society. This has led to the convergence of technoscience and humanities in an ethical debate that is starting to bear fruit, not only with the setting of regulations and standards, but also with educational initiatives in university teaching, professional improvement, and the conformation of public opinion. Interestingly, science fiction …
Global collaborative networks on meta-analyses of randomized trials published in high impact factor medical journals: a social network analysis
2014
Abstract Background Research collaboration contributes to the advancement of knowledge by exploiting the results of scientific efforts more efficiently, but the global patterns of collaboration on meta-analysis are unknown. The purpose of this research was to describe and characterize the global collaborative patterns in meta-analyses of randomized trials published in high impact factor medical journals over the past three decades. Methods This was a cross-sectional, social network analysis. We searched PubMed for relevant meta-analyses of randomized trials published up to December 2012. We selected meta-analyses (including at least randomized trials as primary evidence source) published in…
Electronic word of mouth (eWOM) in tourism
2012
This paper is based on the idea that user generated contents (UGC) about holidays, travels and destinations, widely propagated throughout modern social networks, have a topical relevance respect to the diffusion of the image of tourist destinations. More than other information transmission mechanisms, word of mouth (WOM) strongly influences consumer behavior and decision-making, especially when ‘experience goods’ (as in the case of tourism) difficult to be evaluated before their consumption are concerned (Wilson 1994; Griffin 1995; Silverman 1997; Rosen 2002; Dall’Ara, 2002; Lambin, 2004). The advances of ICT tools and the emergence of the Internet strongly influence word of mouth, since la…
Evaluating the impact of friends in predicting user’s availability in online social networks
2017
In recent years, Online Social Networks (OSNs) have changed the way people connect and interact with each other. Indeed, most people have registered an account on some popular OSNs (such as Facebook, or Google+) which is used to access the system at different times of the days, depending on their life and habits. In this context, understanding how users connect to the OSNs is of paramount importance for both the protection of their privacy and the OSN’s provider (or third-party applications) that want to exploit this information. In this paper, we study the task of predicting the availability status (online/offline) of the OSNs’ users by exploiting the availability information of their frie…
Empirically-derived subgroups of Facebook users and their association with personality characteristics: a Latent Class Analysis
2018
Abstract In recent years, considerable research effort has been directed at the identification of relationships between psychological variables and Facebook usage indicators. However, the identification of homogeneous subgroups of individuals based on similar Facebook usage characteristics still presents a challenge. This study aims: (1) to empirically determine homogeneous groups of Facebook users based on variables regarding their personal experience on Facebook, by using a Latent Class Analysis; and (2) to examine the association between an individual's personality and interpersonal characteristics and the empirically-derived profiles of Facebook usage. Eight hundred and eleven Facebook …
Multi-scale analysis of the European airspace using network community detection
2014
We show that the European airspace can be represented as a multi-scale traffic network whose nodes are airports, sectors, or navigation points and links are defined and weighted according to the traffic of flights between the nodes. By using a unique database of the air traffic in the European airspace, we investigate the architecture of these networks with a special emphasis on their community structure. We propose that unsupervised network community detection algorithms can be used to monitor the current use of the airspaces and improve it by guiding the design of new ones. Specifically, we compare the performance of three community detection algorithms, also by using a null model which t…
Disrupting resilient criminal networks through data analysis: The case of Sicilian Mafia
2020
Compared to other types of social networks, criminal networks present hard challenges, due to their strong resilience to disruption, which poses severe hurdles to law-enforcement agencies. Herein, we borrow methods and tools from Social Network Analysis to (i) unveil the structure of Sicilian Mafia gangs, based on two real-world datasets, and (ii) gain insights as to how to efficiently disrupt them. Mafia networks have peculiar features, due to the links distribution and strength, which makes them very different from other social networks, and extremely robust to exogenous perturbations. Analysts are also faced with the difficulty in collecting reliable datasets that accurately describe the…
Statistically validated mobile communication networks: the evolution of motifs in European and Chinese data
2014
Big data open up unprecedented opportunities to investigate complex systems including the society. In particular, communication data serve as major sources for computational social sciences but they have to be cleaned and filtered as they may contain spurious information due to recording errors as well as interactions, like commercial and marketing activities, not directly related to the social network. The network constructed from communication data can only be considered as a proxy for the network of social relationships. Here we apply a systematic method, based on multiple hypothesis testing, to statistically validate the links and then construct the corresponding Bonferroni network, gen…