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Urban Road Transport Network Analysis: Machine Learning and Social Network Approaches
Communications, 2022 Traffic congestion is one of the most significant problems in urban transportation. It has been increasing, especially in regions close to intersections. Several methods have been developed to reduce the traffic congestion. One of the analysis methods is
Emre Kuşkapan +4 more
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COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data
Journal of Medical Internet Research, 2020 Background Since the beginning of December 2019, the coronavirus disease (COVID-19) has spread rapidly around the world, which has led to increased discussions across online platforms. These conversations have also included various conspiracies shared by
Wasim Ahmed +3 more
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SAGE Open, 2021 Copenhagen Burnout Inventory (CBI) is a tool assessing fatigue and exhaustion as the core features of burnout. Despite its wide use and evidence of good psychometric properties, little is known about its structural validity.
Marko Živanović +2 more
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Review of Economic Design, 2000 We introduce a spatial cost topology in the network formation model analyzed by Jackson and Wolinsky, Journal of Economic Theory (1996), 71: 44–74. This cost topology might represent geographical, social, or individual differences. It describes variable costs of establishing social network connections.
Johnson, C., Gilles, R.P.
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Energies, 2021 In the Hungarian as well as the international literature, debates regarding the methodology used for measuring energy poverty are ongoing. Our contribution sought to develop a methodology that would be relatively easy to measure via survey and have the ...
Adrienne Csizmady +3 more
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Understanding hesitancy with revealed preferences across COVID-19 vaccine types
Scientific Reports, 2022 Many countries have secured larger quantities of COVID-19 vaccines than their population is willing to take. The abundance and the large variety of vaccines created not only an unprecedented intensity of vaccine related public discourse, but also a ...
Kristóf Kutasi +6 more
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Maximizing the spread of influence through a social network
Knowledge Discovery and Data Mining, 2003 Models for the processes by which ideas and influence propagate through a social network have been studied in a number of domains, including the diffusion of medical and technological innovations, the sudden and widespread adoption of various strategies ...
D. Kempe, J. Kleinberg, É. Tardos
semanticscholar +1 more source
, 2021 Soziologie : Sociology in the German-Speaking World : Special Issue Soziologische Revue 2020 / Edited by Betina Hollstein, Rainer Greshoff, Uwe Schimank, and Anja Weiß; München ; Wien : De Gruyter 415-428 (2021).
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Attributed Social Network Embedding [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2017 Embedding network data into a low-dimensional vector space has shown promising performance for many real-world applications, such as node classification and entity retrieval.
Lizi Liao +3 more
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Social norms in networks [PDF]
Journal of Economic Theory, 2018 Although the linear-in-means model is the workhorse model in empirical work on peer effects, its theoretical properties are understudied. In this paper, we investigate how social norms affect individual effort, aggregate effort, and welfare. While individual productivity always positively affects own effort and utility, we show that taste for ...
Philip Ushchev +3 more
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