Quantitative image mean squared displacement (iMSD) analysis of the dynamics of profilin 1 at the membrane of live cells. [PDF]
, 2018 Image mean square displacement analysis (iMSD) is a method allowing the mapping of diffusion dynamics of molecules in living cells. However, it can also be used to obtain quantitative information on the diffusion processes of fluorescently labelled ...
Davey, Rhonda J +3 more
core +1 more source
Information-Theoretic Registration with Explicit Reorientation of Diffusion-Weighted Images
, 2021 We present an information-theoretic approach to the registration of images with directional information, and especially for diffusion-Weighted Images (DWI), with explicit optimization over the directional scale.
Darkner, Sune +2 more
core +1 more source
Phantom cascades: The effect of hidden nodes on information diffusion [PDF]
, 2015 Research on information diffusion generally assumes complete knowledge of the underlying network. However, in the presence of factors such as increasing privacy awareness, restrictions on application programming interfaces (APIs) and sampling strategies,
Belák, Václav +3 more
core +2 more sources
Reshaping the urban hierarchy: patterns of information diffusion on social media
Geo-spatial Information Science, 2019 The spatial diffusion of information is a process governed by the flow of interpersonal communication. The emergence of the Internet and especially social media platforms has reshaped this process and previous research has studied how online social ...
Jiue-An Yang +4 more
doaj +1 more source
Applied SciencesThis study presents a comprehensive analysis of information diffusion in social networks with time delay mechanisms. We first analyze real Reddit thread data, identifying limitations in the sample size.
Kamila Bakenova +5 more
doaj +1 more source
Modeling Information Diffusion on Social Media: The Role of the Saturation Effect
MathematicsIn an era where social media shapes public opinion, understanding information spreading is key to grasping its broader impact. This paper explores the intricacies of information diffusion on Twitter, emphasizing the significant influence of content ...
Julia Atienza-Barthelemy +2 more
doaj +1 more source
Predicting the Popularity of Information on Social Platforms without Underlying Network Structure
Entropy, 2023 The ability to predict the size of information cascades in online social networks is crucial for various applications, including decision-making and viral marketing.
Leilei Wu +3 more
doaj +1 more source
Atmosphere, 2018 Drought vulnerability characteristics and risk assessment form the basis of drought risk management. In this study, the standardized precipitation index (SPI) and drought damage rates (DDR) were combined to analyze drought vulnerability characteristics ...
Shouzheng Jiang +4 more
doaj +1 more source
Risk Estimation of Typhoon Disaster Based on Three-Dimensional Information Diffusion Method
Journal of Marine Science and Engineering, 2023 In the context of the increasing frequency and intensity of natural disasters, assessing the risk of typhoon disasters can provide significant assistance for risk control and emergency management of typhoon disasters.
Guilin Liu +6 more
doaj +1 more source
Predicting the Popularity of Online Content by Modeling the Social Influence and Homophily Features
Frontiers in Physics, 2022 Predicting the popularity of online content on social network can bring considerable economic benefits to companies and marketers, and it has wide application in viral marketing, content recommendation, early warning of social unrest, etc.
Yingdan Shang +5 more
doaj +1 more source