660 research outputs found

    Dynamics of private social networks

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    Social networks, have been a significant turning point in ways individuals and companies interact. Various research has also revolved around public social networks, such as Twitter and Facebook. In most cases trying to understand what's happening in the network such predicting trends, and identifying natural phenomenon. Seeing the growth of public social networks several corporations have sought to build their own private networks to enable their staff to share knowledge, and expertise. Little research has been done in regards to the value private networks give to their stake holders. This is primarily due to the fact as their name implies, these networks are private, thus access to internal data is limited to a trusted few. This paper looks at a particular online private social network, and seeks to investigate the research possibilities made available, and how this can bring value to the organisation which runs the network. Notwithstanding the limitations of the network, this paper seeks to explore the connections graph between members of the network, as well as understanding the topics discussed within the network. The findings show that by visualising a social network one can assess the success or failure of their online networks. The Analysis conducted can also identify skill shortages within areas of the network, thus allowing corporations to take action and rectify any potential problems.peer-reviewe

    Social media mental health analysis framework through applied computational approaches

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    Studies have shown that mental illness burdens not only public health and productivity but also established market economies throughout the world. However, mental disorders are difficult to diagnose and monitor through traditional methods, which heavily rely on interviews, questionnaires and surveys, resulting in high under-diagnosis and under-treatment rates. The increasing use of online social media, such as Facebook and Twitter, is now a common part of people’s everyday life. The continuous and real-time user-generated content often reflects feelings, opinions, social status and behaviours of individuals, creating an unprecedented wealth of person-specific information. With advances in data science, social media has already been increasingly employed in population health monitoring and more recently mental health applications to understand mental disorders as well as to develop online screening and intervention tools. However, existing research efforts are still in their infancy, primarily aimed at highlighting the potential of employing social media in mental health research. The majority of work is developed on ad hoc datasets and lacks a systematic research pipeline. [Continues.]</div

    The application of a business intelligence tool for service delivery improvement : the case of South Africa

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    Abstract: The global environment requires organisations to adapt and respond quickly to the complexity of its nature. Responding to such an environment depends on real-time information. In the last decade, organisations have relied much on human expertise to extract and analyse and process data into meaningful information for decision making. Many will probably agree with the assertion that the complexity of the globalisation has led to a complexity in modern data analysis, which encompasses different elements (technology and innovation, internet of things and influx of data to name but few), resulting in modern scientific problems. It is evident that organisational knowledge has become the enabling factor for decision-making in both the private and public sector. Yet, the study of the opinion that the advancement of technology and internet of things has complicated matters further for humankind to interpret complex and vast amounts of data at the speed required to keep up with the demands of the global environment in which they operate. Therefore, it is likely that the discovered knowledge may be inaccurate at times. In responding to these dynamics, organisations require computational intelligence systems to transform the data they acquire into real-time meaningful information in order to make informed decisions. ..D.Phil. (Engineering Management

    The Proceedings of the 23rd Annual International Conference on Digital Government Research (DGO2022) Intelligent Technologies, Governments and Citizens June 15-17, 2022

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    The 23rd Annual International Conference on Digital Government Research theme is “Intelligent Technologies, Governments and Citizens”. Data and computational algorithms make systems smarter, but should result in smarter government and citizens. Intelligence and smartness affect all kinds of public values - such as fairness, inclusion, equity, transparency, privacy, security, trust, etc., and is not well-understood. These technologies provide immense opportunities and should be used in the light of public values. Society and technology co-evolve and we are looking for new ways to balance between them. Specifically, the conference aims to advance research and practice in this field. The keynotes, presentations, posters and workshops show that the conference theme is very well-chosen and more actual than ever. The challenges posed by new technology have underscored the need to grasp the potential. Digital government brings into focus the realization of public values to improve our society at all levels of government. The conference again shows the importance of the digital government society, which brings together scholars in this field. Dg.o 2022 is fully online and enables to connect to scholars and practitioners around the globe and facilitate global conversations and exchanges via the use of digital technologies. This conference is primarily a live conference for full engagement, keynotes, presentations of research papers, workshops, panels and posters and provides engaging exchange throughout the entire duration of the conference

    The Proceedings of the European Conference on Social Media ECSM 2014 University of Brighton

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    Responsible AI and Analytics for an Ethical and Inclusive Digitized Society

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    Digital Marketing practices amongst start-up accelerators

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    Digital Marketing (DM) is a vital marketing tool used by all types of companies nowadays. Accelerators are companies that appeared in the last few years to help start-ups grow and, just like any other company, they are using DM as well. This research explored which were the DM strategies used by accelerators. To do so, an online survey was shared amongst more than 300 accelerators across the world, whose results were analyzed by using SPSS Software. Correlation analyses and significance tests were conducted to verify the existence of relations between characteristics such as: location, type of accelerator, DM objectives of the accelerator or digital channels used to reach different audiences (e.g. start-ups, corporates, investors, universities or media). As a result of these analyses, it was verified that the number of people working full-time within the accelerator was one of the characteristics of an accelerator that influence the definition of its DM strategy. Moreover, the digital channels used more frequently by accelerators are: Website, E-mail, Facebook and Twitter. These discoveries helped designing a conceptual framework that will guide start-up accelerators while defining its DM strategy, increasing the added-value start-up accelerators bring to society
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