Search results for: SOCIAL NETWORK.
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Blast Charge Technique as a Method of Soil Improving to Locate the New Supporting Runways
PublicationA quick and effective method of reinforcing the ground base designed for the construction of engineering structures used for performing various types of air operations was presented. It allows to use wastelands, wetlands, swamps, etc. for these purposes, thus creating a dispersed network of landing sites, increasing the access of large social groups to air transport and increasing their mobility.
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The impact of brand communication on brand equity through Facebook
PublicationPurpose The purpose of this study is to fill the gap in the discussion of the ways in which firm-created and user-generated social media brand communication impacts consumer-based brand equity metrics through Facebook. Design/methodology/approach We evaluated 302 data sets that were generated through a standardized online-survey to investigate the impact of firm-created and user-generated social media brand communication on brand...
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Journal of Network Theory in Finance
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Journal on Chain and Network Science
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Competition and Regulation in Network Industries
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NETWORK-COMPUTATION IN NEURAL SYSTEMS
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Journal of Network and Systems Management
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International Journal of Network Management
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JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
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Technical Engine for Democratization of Modeling, Simulations, and Predictions
PublicationComputational science and engineering play a critical role in advancing both research and daily-life challenges across almost every discipline. As a society, we apply search engines, social media, and se- lected aspects of engineering to improve personal and professional growth. Recently, leveraging such aspects as behavioral model analysis, simulation, big data extraction, and human computation is gain- ing momentum. The nexus...
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Development of tools for road infrastructure safety management for the provinces (voivodeships) in Poland
PublicationThe development of modern tools for road infrastructure safety management will help to reduce the number of fatalities and serious injuries as one of the main objectives adopted in 2013 in the National Road Safety Programme 2014-2020 and the new Road Safety Programme 2011-2020 in the EU. Risk Management in Highway Engineering can be applied in developing tools essential in the process of safety management. Risk Management in Highway...
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Analysis and design improvement of high class roads’ arched sections in Poland
PublicationAlthough Polish road network standards, in particular higher classes of roads are improving dynamically the number of fatalities on the network is still higher that EU’s average. Ensuring road safety and high maintaining standards is a complex issue and one that poses a major challenge for all road authorities. Road accidents at high speed roads characterize specially serious material and social consequences, thus research into...
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IEEE Transactions on Network Science and Engineering
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IEEE Transactions on Control of Network Systems
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Journal of the National Comprehensive Cancer Network
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International Journal of Enterprise Network Management
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International Journal of Data and Network Science
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Chinese Journal of Network and Information Security
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Data for systematic review on interversions reducing car use
Open Research DataThis dataset contains search strategies, bibliographic information and data synthesis performed for a systematic literature review to provide a comprehensive and unbiased summary of the available evidence concerning car use-reducing interventions employed and their effectiveness. ‘Intervention’, for this study purposes, is defined as “any policy, program,...
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Exploring the Usability and User Experience of Social Media Apps through a Text Mining Approach
PublicationThis study aims to evaluate the applicability of a text mining approach for extracting UUX-related issues from a dataset of user comments and not to evaluate the Instagram (IG) app. This study analyses textual data mined from reviews in English written by IG mobile application users. The article’s authors used text mining (based on the LDA algorithm) to identify the main UUX-related topics. Next, they mapped the identified topics...
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Detecting type of hearing loss with different AI classification methods: a performance review
PublicationHearing is one of the most crucial senses for all humans. It allows people to hear and connect with the environment, the people they can meet and the knowledge they need to live their lives to the fullest. Hearing loss can have a detrimental impact on a person's quality of life in a variety of ways, ranging from fewer educational and job opportunities due to impaired communication to social withdrawal in severe situations. Early...
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EUROPEAN CYTOKINE NETWORK
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RACIAL COMPOSITION OF COMMUNITIES AND PARTICIPATION OF ADOLESCENTS
PublicationThe investigation used the Add Health data set to examine the association between communities’ composition with respect to race and participation in extracurricular school activities in secondary education. Results of this analysis show that the composition of adolescents’ communities matters for individuals’ participation outcomes in extracurricular school activities. The results find further support in previous research connecting...
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Smart Services for Improving eCommerce
PublicationThe level of customer support provided by the existing eCom-merce solutions assumes that the person using the functionality of theshop has sufficient knowledge to decide on the purchase transaction. Alow conversion rate indicates that customers are more likely to seekknowledge about the particular product than finalize the transaction.This is facilitated by the continuous development of customers’ digi-tal...
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International Journal of Computer Network and Information Security
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International Journal of Mobile Network Design and Innovation
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Network Modeling and Analysis in Health Informatics and Bioinformatics
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Journal of the International Network for Korean Language and Culture
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Computational Simulation of the Effects of Different Culture Types and Leader Qualities on Mistake Handling and Organisational Learning
PublicationThis chapter investigates computationally the following research hypotheses: (1) Higher flexibility and discretion in organisational culture results in better mistake management and thus better organisational learning, (2) Effective organisational learning requires a transformational leader to have both high social and formal status and consistency, and (3) Company culture and leader’s behavior must align for the best learning...
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The Method of a Two-Level Text-Meaning Similarity Approximation of the Customers’ Opinions
PublicationThe method of two-level text-meaning similarity approximation, consisting in the implementation of the classification of the stages of text opinions of customers and identifying their rank quality level was developed. Proposed and proved the significance of major hypotheses, put as the basis of the developed methodology, notably about the significance of suggestions about the existence of analogies between mathematical bases of...
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ANALIZA POSTAW INTERNAUTÓW WOBEC MARKI W MEDIACH SPOŁECZNOŚCIOWYCH
PublicationCelem opracowania jest ukazanie roli, jaką odgrywają media społecznościowe i wypowiedzi internautów w kształtowaniu wizerunku marki wśród użytkowników Sieci. Artykuł prezentuje także wyniki obserwacji aktywności polskich internautów dotyczące jednej z polskich marek spożywczych. Internauci zamieszczają w Internecie różnorodne treści powiązane pośrednio lub bezpośrednio z markami. Zadaniem organizacji, podobnie jak w przypadku pozostałych...
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Nina Rizun dr
PeopleNina Rizun is an assistant professor at the Faculty of Management and Economics at the Gdańsk University of Technology. In October 1999 she obtained a PhD degree in technical sciences in the Faculty of Enterprise Economy and Production Organization, National Mining Academy, Dnipropetrovsk, Ukraine. PhD thesis title: Development of Complex Subsystem of the Organization and Planning of Mining and Transport Processes. In the years...
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Decision-Making Models of the Human-Operator as an Element of the Socio-Technical Systems
PublicationThe authors of the chapter proved that the fundamental intellectual processes, which lie on the basis of decision-making behavior of the human-operator, could be identified on the bases on the analogies with the devices (elements). The basic intellectual processes of the Rational decision-making models can be adequately identified by the transient processes of the PID-controller; the intellectual processes of the Bounded Rationality...
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IEEE NETWORK
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Data for meta-analysis on interversions reducing car use
Open Research DataThis dataset contains the results of a meta-analysis of reported interventions reducing car use. To standardise intervention effects reported in different scales, the Hedges’ g effect size measure was used (ratio of raw difference in samples’ means and pooled standard deviation). The standardised studies outcomes, along with overall outcome, were...
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Eventual Convergence of the Reputation-Based Algorithm in IoT Sensor Networks
PublicationUncertainty in dense heterogeneous IoT sensor networks can be decreased by applying reputation-inspired algorithms, such as the EWMA (Exponentially Weighted Moving Average) algorithm, which is widely used in social networks. Despite its popularity, the eventual convergence of this algorithm for the purpose of IoT networks has not been widely studied, and results of simulations are often taken in lieu of the more rigorous proof....
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LEARN Journal: Language Education and Acquisition Research Network
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Kamila Kokot-Kanikuła mgr
PeopleKamila Kokot-Kanikuła is a digital media senior librarian at Gdańsk University of Technology (GUT) Library. She works in Digital Archive and Multimedia Creation Department and her main areas of interests include early printed books, digital libraries, Open Access and Open Science. In the Pomeranian Digital Library (PDL) Project she is responsible for creating annual digital plans, transferring files on digital platform, and promoting...
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An IoT-Based Computational Framework for Healthcare Monitoring in Mobile Environments
PublicationThe new Internet of Things paradigm allows for small devices with sensing, processing and communication capabilities to be designed, which enable the development of sensors, embedded devices and other ‘things’ ready to understand the environment. In this paper, a distributed framework based on the internet of things paradigm is proposed for monitoring human biomedical signals in activities involving physical exertion. The main...
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Advancing the evidence base for public policies impacting on dietary behaviour, physical activity and sedentary behaviour in Europe: The Policy Evaluation Network promoting a multidisciplinary approach
PublicationNon-communicable diseases (NCDs) are the leading cause of global mortality. As the social and economic costs of NCDs have escalated, action is needed to tackle important causes of many NCD’s: low physical activity levels and unhealthy dietary behaviours. As these behaviours are driven by upstream factors, successful policy interventions are required that encourage healthy dietary behaviours, improve physical activity levels and...
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IEEE Transactions on Network and Service Management
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Positively aware : the monthly journal of the Test Positive Aware Network
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Networks Externalities as Social Phenomenon in the Process ICT Diffusion.
PublicationThis paper is designed to fill the gap in knowledge that we have identified regarding the process of diffusion of information and communication technologies and emerging network effects that significantly enhance spread of these technologies. We contribute to the present state of the art by examining the process of ICT diffusion in 50 countries, which in 2015 achieved highest ICT penetration rates.
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Nexus Network Journal
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Company Culture, Knowledge Sharing and Organizational Performance. The Employee’s Perspective
PublicationKnowledge sharing, as a basic prerequisite for knowledge creation, is a dynamic social process characterized by profound human interactions. The process of knowledge sharing can be supported by organizational culture which is a set of values and norms giving identity to each enterprise. As a valuable element of intellectual capital, organizational culture contributes to achieving strategic business goals. The purpose of this article...
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International Conference on Web and Social Media (International Conference on Weblogs and Social Media)
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Ontology-based text convolution neural network (TextCNN) for prediction of construction accidents
PublicationThe construction industry suffers from workplace accidents, including injuries and fatalities, which represent a significant economic and social burden for employers, workers, and society as a whole.The existing research on construction accidents heavily relies on expert evaluations,which often suffer from issues such as low efficiency, insufficient intelligence, and subjectivity.However, expert opinions provided in construction...
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Analysis of the impact of socio-economic development on road safety based on the example of Baltic Sea Region countries
PublicationBaltic Sea Region (BSR) is a specific region of Europe, bringing together countries with different levels of socio-economic development. The main common point is territorial access to the Baltic Sea and the importance of maritime transport in the transportation of goods. The region consists of 9 countries, including Germany, Poland, Lithuania, Latvia, Estonia, Finland, Sweden, Denmark and Russia (more specifically, Kaliningrad...
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The health impact of urban parks along waterways
PublicationWell designed parks along waterways could promote health and well-being of local inhabitants. The way the human settlements meet water bodies can influence the habits of local population. How people spend their time have significant impact on their health. For example, a team of Japanese scientists has proven that a well designed walk-able green spaces are crucial for the longevity of elderly citizens (Takano T. et al, 2002). Nature...
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Assessing the attractiveness of human face based on machine learning
PublicationThe attractiveness of the face plays an important role in everyday life, especially in the modern world where social media and the Internet surround us. In this study, an attempt to assess the attractiveness of a face by machine learning is shown. Attractiveness is determined by three deep models whose sum of predictions is the final score. Two annotated datasets available in the literature are employed for training and testing...