Topic-aware social influence propagation models
The study of influence-driven propagations in social networks and its exploitation for viral
marketing purposes has recently received a large deal of attention. However, regardless of …
marketing purposes has recently received a large deal of attention. However, regardless of …
Event detection over twitter social media streams
In recent years, microblogs have become an important source for reporting real-world
events. A real-world occurrence reported in microblogs is also called a social event. Social …
events. A real-world occurrence reported in microblogs is also called a social event. Social …
TM-LDA: efficient online modeling of latent topic transitions in social media
Latent topic analysis has emerged as one of the most effective methods for classifying,
clustering and retrieving textual data. However, existing models such as Latent Dirichlet …
clustering and retrieving textual data. However, existing models such as Latent Dirichlet …
Who creates trends in online social media: The crowd or opinion leaders?
L Zhang, J Zhao, K Xu - Journal of Computer-Mediated …, 2016 - academic.oup.com
Internet slang words can very quickly become ubiquitous because of social memes and viral
online content. Weibo, a Twitter-like service in China, demonstrates that the adoption of …
online content. Weibo, a Twitter-like service in China, demonstrates that the adoption of …
Co-factorization machines: modeling user interests and predicting individual decisions in twitter
Users of popular services like Twitter and Facebook are often simultaneously overwhelmed
with the amount of information delivered via their social connections and miss out on much …
with the amount of information delivered via their social connections and miss out on much …
Topic evolution based on the probabilistic topic model: a review
H Zhou, H Yu, R Hu - Frontiers of Computer Science, 2017 - Springer
Accurately representing the quantity and characteristics of users' interest in certain topics is
an important problem facing topic evolution researchers, particularly as it applies to modern …
an important problem facing topic evolution researchers, particularly as it applies to modern …
Event detection and popularity prediction in microblogging
As one of the most influential social media platforms, microblogging is becoming
increasingly popular in the last decades. Each day a large amount of events appear and …
increasingly popular in the last decades. Each day a large amount of events appear and …
[PDF][PDF] Online Topic-aware Influence Maximization Queries.
Influence maximization is the key algorithmic problem behind viral marketing: it requires to
identify a set of influential users in a social network, who, when convinced to adopt a …
identify a set of influential users in a social network, who, when convinced to adopt a …
Predicting information diffusion probabilities in social networks: A Bayesian networks based approach
In past few years, social networking has significantly contributed to online presence of users.
These social networks are hosts to a number of viral phenomena. This has fetched a lot of …
These social networks are hosts to a number of viral phenomena. This has fetched a lot of …
A survey on trends of cross-media topic evolution map
Rapid advancements in internet and social media technologies have made “information
overload” a rampant and widespread problem. Complex subjects, histories, or issues break …
overload” a rampant and widespread problem. Complex subjects, histories, or issues break …