118 resultados para Diffusione, notizie, informazioni, analisi, dati, microblogging, social network, twitter, friendfeed.


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Universities are now observed using social media communications channels for a variety of purposes, including marketing, student recruitment, student support and alumni communication. This paper presents an investigation into the use of the Twitter social media platform by universities in Australia, using publicly available Twitter data over a 2-year period. A social media network visualisation method is developed to make visible the interactions between a university and its stakeholders in the Twitter environment. This analysis method provides insights into the differing ways in which Australian universities are active on Twitter, and how universities might more effectively use the platform to achieve their individual objectives for institutional social media communications.

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This article argues that it is not just trust-generating but also trust-inhibiting mechanisms that operate in teams, and that these cooperative and competitive structures of interpersonal relations of trust within teams may affect team performance. Specifically, we propose that the presence of trust-generating structures (e.g., reciprocity, trusting in the referrals of others we trust, trusting in high performers and more experienced people) and the absence of trust-inhibiting structures (e.g., not trusting in the referrals of others we trust) are more likely to be associated with successful teams. Using exponential random graph models, a particular class of statistical model for social networks, we examine three professional sporting teams from the Australian Football League for the presence and absence of these mechanisms of interpersonal relations of trust. Quantitative network results indicate a differential presence of these postulated structures of trust relations in line with our hypotheses. Qualitative comparisons of these quantitative findings with team performance measures suggest a link between trust-generating and trust-inhibiting mechanisms of trust and team performance. Further theorization on other trust-inhibiting structures of trust relations and related empirical work is likely to shed further light on these connections.

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There has been an increasing interest in the use of inter-organisational groups to address regional implications in sustainable development. These groups bring together local knowledge and expertise and span boundaries between government and industry organisations. Our focus is in understanding how knowledge is shared in such inter-organisational groups. Utilising interviews, observations and social network analysis, we examine the knowledge sharing implications derived from the mixed membership, multilevel interaction, and the need to span boundaries with external organisations in these collaborations.

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Engineering academic units might engage with social media for a range of purposes including for general communication with students, staff, alumni, other important stakeholders and the wider community at large; for student recruitment and for marketing and promotion more generally. This paper presents an investigation into the use of Twitter by six engineering academic units internationally, using publicly available Twitter data over an 18-month period for analysis and visualization, to characterize the engagement by engineering academic units with one popular social media tool. Widely varying levels of activity were observed, from essentially undirected 'Megaphone' Tweeting, through to sustained and complex interactions with multiple external accounts. This work provides insights into how engineering academic units are using Twitter and how they might more effectively use the platform to achieve their individual objectives for institutional social media communications and marketing, and offers a methodology for future research. © 2014 © 2014 Taylor & Francis.

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Through two concepts, this paper investigates how online culture is shifting our understanding of media, communication and what could be described as the public sphere. The concept of intercommunication is developed to explicate how online culture blends what has often been seen as separate domains: there is now a higher fluidity between what is seen as media and what is seen as a form of communication. In effect, there is now an interpersonal mediation of communication through social media where what we like and dislike is shared and exchanged. The result of this different structure of communication is a transforming public sphere that highlights how the personal dimension of communicationis privileged. To unpack this shifted structure of media and communication, the paper develops the concept of persona. Persona, as a structure and presentation of personal identity for different publics, helps us understand how the individualhas to present themselves strategically and tactically in this intercommunicative world. Through a series of examples that analyse memes, social network identity, and communication, and new iterations of what could be construed as private,public, and professional identity, the paper investigates this emerging "intercommunicative public self.”

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This article presents a personal e-learning system architecture in the context of a social network environment. The main objective of a personal e-learning system is to develop individual skills on a specific subject and share resources with peers. The authors' system architecture defines the organisation and management of a personal learning environment that aids in creating, verifying and sharing learning artefacts, and making money at the same time. In their research, they also focus on one of the most interesting arenas in digital content or document management - digital rights management - and its application to e-learning.

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Researching persona is a study in the production, dissemination and exchange of public identity. One starting point in the process is to look at the production of the presentation of the self online, which allows for a particularly valuable way of exploring celebrity and public personalities. In order to advance on this point, this article examines three emerging and complementary methods of persona studies that work to capture different elements in the production of public identity. In the following we provide an introduction to the research currently being generated using three intersectional methods as a primer to the study of persona. We first present an adaptation of interpretative phenomenological analysis for the investigation of online identity as a means for understanding the strategic and negotiated agency that constructing a public persona entails. Second, we outline the potential for methods of social network analysis and data visualisation to contribute to the investigation of networked structures of public identities, and to further explore the assembly of a professional persona in the creative and niche paratextual industry roles enabled by social media. Finally, to explore reputation and relational cultural power we consider how persona is constituted by connections, adapting prosopography – an historical method for identifying relational status in a community – to the study of current public production of the self and relational reputation as a form of cultural field. All of these techniques are equally useful for the direct study of celebrity persona, and function dynamically together as means to access the wider dimensions of public persona.

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Emergencies, including both natural and man - made disasters, increasingly pose an immediate threat to life, health, property, and environment. For example, Hurricane Katrina, the deadliest and most destructive Atlantic tropical cyclone of the 2005 Atlantic hurricane season, led to at least 1,883 people's death and an estimated loss of - 108 billion property. To reduce the damage by emergencies, a wide range of cutting-edge technologies on medicine and information are used in all phases of emergency management. This article proposes a cloud-based emergency management system for environmental and structural monitoring that utilizes the powerful computing and storage capability of datacenters to analyze the mass data collected by the wireless intelligent sensor network deployed in civil environment. The system also benefits from smartphone and social network platform to setup the spatial and population models, which enables faster evacuation and better resource allocation.

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 Chronic heart failure (CHF) is a progressive and debilitating disease with a broad symptom profile, intermittently marked by periods of acute decompensation. CHF patients are encouraged to self-manage their illness, such as adhering to medical regimens and monitoring symptoms, to optimise health outcomes and quality of life. In so doing, patients are asked to collaborate with their health service providers with regard to their care. However, patients generally do not self-manage well, even with specialist support. Moreover, self- management interventions are yet to demonstrate morbidity or mortality benefits. Social network approaches to self-management consider the availability and mobilisation of all resources, beyond those of only the patient and healthcare providers. Used in conjunction with e-health platforms, social network approaches may offer a means by which to optimise self-management programmes of the future.

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P2P collusive piracy, where paid P2P clients share the content with unpaid clients, has drawn significant concerns in recent years. Study on the follow relationship provides an emerging track of research in capturing the followee (e.g., paid client) for the blocking of piracy spread from all his followers (e.g., unpaid clients). Unfortunately, existing research efforts on the follow relationship in online social network have largely overlooked the time constraint and the content feedback in sequential behavior analysis. Hence, how to consider these two characteristics for effective P2P collusive piracy prevention remains an open problem. In this paper, we proposed a multi-bloom filter circle to facilitate the time-constraint storage and query of P2P sequential behaviors. Then, a probabilistic follow with content feedback model to fast discover and quantify the probabilistic follow relationship is further developed, and then, the corresponding approach to piracy prevention is designed. The extensive experimental analysis demonstrates the capability of the proposed approach.

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Large-scale object-oriented applications consist of tens of thousands of methods and exhibit highly complex runtime behaviour that is difficult to analyse for performance. Typical performance analysis approaches that aggregate performance measures in a method-centric manner result in thinly distributed costs and few easily identifiable optimisation opportunities. Subsuming methods analysis is a new approach that aggregates performance costs across repeated patterns of method calls that occur in the application's runtime behaviour. This allows automatic identification of patterns that are expensive and represent practical optimisation opportunities. To evaluate the practicality of this analysis with a real world large-scale object-oriented application we completed a case study with the developers of letterboxd.com - a social network website for movie goers. Using the results of the analysis we were able to rapidly implement changes resulting in a 54.8% reduction in CPU load and an 49.6% reduction in average response time.

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Coordinated systems are required to ensure evidence-informed practice and evaluation of community-based interventions (CBIs). Knowledge translation and exchange (KTE) strategies show promise, but these require evaluation. This paper describes implementation and evaluation of COOPS, a national KTE platform to support best practice in obesity prevention CBIs. A logic model guides KTE activities including knowledge brokering, networking, tailored communications, training, and needs assessments. A mixed-methods evaluation includes communications data, knowledge brokering database, annual survey of CBIs, pre- and post-event questionnaires, interviews, social network analysis, and case studies. This evaluation will contribute to understanding the process of implementing a KTE platform with CBIs and its reach, quality and effectiveness.