A new direction in social network analysis: Online social network analysis problems and applications

U Can, B Alatas - Physica A: Statistical Mechanics and its Applications, 2019 - Elsevier
The use of online social networks has made significant progress in recent years as the use
of the Internet has become widespread worldwide as the technological infrastructure and the …

Multi-feature, multi-modal, and multi-source social event detection: A comprehensive survey

I Afyouni, Z Al Aghbari, RA Razack - Information Fusion, 2022 - Elsevier
The tremendous growth of event dissemination over social networks makes it very
challenging to accurately discover and track exciting events, as well as their evolution and …

A survey of techniques for event detection in twitter

F Atefeh, W Khreich - Computational Intelligence, 2015 - Wiley Online Library
Twitter is among the fastest‐growing microblogging and online social networking services.
Messages posted on Twitter (tweets) have been reporting everything from daily life stories to …

[图书][B] Natural language processing for social media

A Farzindar, D Inkpen, G Hirst - 2015 - Springer
In recent years, online social networking has revolutionized interpersonal communication.
The newer research on language analysis in social media has been increasingly focusing …

Cloud storage as the infrastructure of cloud computing

J Wu, L Ping, X Ge, Y Wang, J Fu - … International conference on …, 2010 - ieeexplore.ieee.org
As an emerging technology and business paradigm, Cloud Computing has taken
commercial computing by storm. Cloud computing platforms provide easy access to a …

What's happening around the world? a survey and framework on event detection techniques on twitter

Z Saeed, RA Abbasi, O Maqbool, A Sadaf… - Journal of Grid …, 2019 - Springer
In the last few years, Twitter has become a popular platform for sharing opinions,
experiences, news, and views in real-time. Twitter presents an interesting opportunity for …

A distributed frequent itemset mining algorithm using Spark for Big Data analytics

F Zhang, M Liu, F Gui, W Shen, A Shami, Y Ma - Cluster Computing, 2015 - Springer
Frequent itemset mining is an essential step in the process of association rule mining.
Conventional approaches for mining frequent itemsets in big data era encounter significant …

Online social networks event detection: a survey

M Cordeiro, J Gama - Solving Large Scale Learning Tasks. Challenges …, 2016 - Springer
Today online social network services are challenging state-of-the-art social media mining
algorithms and techniques due to its real-time nature, scale and amount of unstructured data …

A survey of event detection techniques in online social networks

A Goswami, A Kumar - Social Network Analysis and Mining, 2016 - Springer
The online social networks (OSNs) have become an important platform for detecting real-
world event in recent years. These real-world events are detected by analyzing huge social …

Multi-modal news event detection with external knowledge

Z Lin, J Xie, Q Li - Information Processing & Management, 2024 - Elsevier
News event detection involves the identification and categorization of significant happenings
or occurrences from social media data. Recent work has typically relied on datasets …