Topic-aware social influence propagation models

N Barbieri, F Bonchi, G Manco - Knowledge and information systems, 2013 - Springer
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 …

Event detection over twitter social media streams

X Zhou, L Chen - The VLDB journal, 2014 - Springer
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 …

TM-LDA: efficient online modeling of latent topic transitions in social media

Y Wang, E Agichtein, M Benzi - Proceedings of the 18th ACM SIGKDD …, 2012 - dl.acm.org
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 …

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 …

Co-factorization machines: modeling user interests and predicting individual decisions in twitter

L Hong, AS Doumith, BD Davison - … conference on Web search and data …, 2013 - dl.acm.org
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 …

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 …

Event detection and popularity prediction in microblogging

X Zhang, X Chen, Y Chen, S Wang, Z Li, J **a - Neurocomputing, 2015 - Elsevier
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 …

[PDF][PDF] Online Topic-aware Influence Maximization Queries.

C Aslay, N Barbieri, F Bonchi, R Baeza-Yates - EDBT, 2014 - openproceedings.org
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 …

Predicting information diffusion probabilities in social networks: A Bayesian networks based approach

D Varshney, S Kumar, V Gupta - Knowledge-Based Systems, 2017 - Elsevier
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 …

A survey on trends of cross-media topic evolution map

H Zhou, H Yu, R Hu, J Hu - Knowledge-Based Systems, 2017 - Elsevier
Rapid advancements in internet and social media technologies have made “information
overload” a rampant and widespread problem. Complex subjects, histories, or issues break …