Survey of generative methods for social media analysis
This survey draws a broad-stroke, panoramic picture of the State of the Art (SoTA) of the
research in generative methods for the analysis of social media data. It fills a void, as the …
research in generative methods for the analysis of social media data. It fills a void, as the …
[图书][B] Generative Methods for Social Media Analysis
This book draws a broad-stroke, panoramic picture of the State of the Art (SoTA) of the
research in generative methods for the analysis of social media data. It fills a void, as the …
research in generative methods for the analysis of social media data. It fills a void, as the …
[HTML][HTML] Modeling influence and community in social media data using the digital methods initiative-twitter capture and analysis toolkit (DMI-TCAT) and Gephi
J Groshek, V de Mees, R Eschmann - MethodsX, 2020 - Elsevier
The methods summarized in this video tutorial series are based on the open source Digital
Methods Initiative–Twitter Capture and Analysis Toolkit (DMI-TCAT) that allows media …
Methods Initiative–Twitter Capture and Analysis Toolkit (DMI-TCAT) that allows media …
OSoMe: the IUNI observatory on social media
The study of social phenomena is becoming increasingly reliant on big data from online
social networks. Broad access to social media data, however, requires software …
social networks. Broad access to social media data, however, requires software …
[引用][C] Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social
Networks Analysis and Mining | ACM Conferences skip to main content ACM Digital Library …
Networks Analysis and Mining | ACM Conferences skip to main content ACM Digital Library …
Limits of Multilayer Diffusion Network Inference in Social Media Research
Abstract Information on social media spreads through an underlying diffusion network that
connects people of common interests and opinions. This diffusion network often comprises …
connects people of common interests and opinions. This diffusion network often comprises …
Realtime analysis of information diffusion in social media
The goal of this thesis is to investigate real-time analysis methods on social media with a
focus on information diffusion. From a conceptual point of view, we are interested both in the …
focus on information diffusion. From a conceptual point of view, we are interested both in the …
Applicability of multilayer diffusion network inference to social media data
Information on social media spreads through an underlying diffusion network that connects
people of common interests and opinions. This diffusion network often comprises multiple …
people of common interests and opinions. This diffusion network often comprises multiple …
Computational models for social network analysis: A brief survey
J Tang - Proceedings of the 26th international conference on …, 2017 - dl.acm.org
With the exponential growth of online social network services such as Facebook and Twitter,
social networks and social medias become more and more important, directly influencing …
social networks and social medias become more and more important, directly influencing …
How does the data sampling strategy impact the discovery of information diffusion in social media?
Platforms such as Twitter have provided researchers with ample opportunities to analytically
study social phenomena. There are however, significant computational challenges due to …
study social phenomena. There are however, significant computational challenges due to …