A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks
Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …
Influence maximization in unknown social networks: Learning policies for effective graph sampling
A serious challenge when finding influential actors in real-world social networks is the lack
of knowledge about the structure of the underlying network. Current state-of-the-art methods …
of knowledge about the structure of the underlying network. Current state-of-the-art methods …
Characterizing speed and scale of cryptocurrency discussion spread on reddit
Cryptocurrencies are a novel and disruptive technology that has prompted a new approach
to how currencies work in the modern economy. As such, online discussions related to …
to how currencies work in the modern economy. As such, online discussions related to …
Fake news detection on twitter using propagation structures
M Meyers, G Weiss, G Spanakis - … , The Netherlands, October 26–27, 2020 …, 2020 - Springer
The growth of social media has revolutionized the way people access information. Although
platforms like Facebook and Twitter allow for a quicker, wider and less restricted access to …
platforms like Facebook and Twitter allow for a quicker, wider and less restricted access to …
Modelling of trends in twitter using retweet graph dynamics
In this paper we model user behaviour in Twitter to capture the emergence of trending
topics. For this purpose, we first extensively analyse tweet datasets of several different …
topics. For this purpose, we first extensively analyse tweet datasets of several different …
Multi-perspective User2Vec: Exploiting re-pin activity for user representation learning in content curation social network
Content curation social networks (CCSN) develop rapidly. Pinterest and Huaban are two
typical CCSNs. Recently, there is active research on CCSNs. As a kind of content based …
typical CCSNs. Recently, there is active research on CCSNs. As a kind of content based …
Utilizing the average node degree to assess the temporal growth rate of Twitter
Several models have been proposed that describe the evolution of the graph properties of
many online social networks (OSNs) and explain the behavior of their users. These models …
many online social networks (OSNs) and explain the behavior of their users. These models …
Towards feature selection for cascade growth prediction on twitter
S Elsharkawy, G Hassan, T Nabhan… - Proceedings of the 10th …, 2016 - dl.acm.org
On online social networks such as Twitter, retweeting allows users to share a variety of
content to their own followers. As tweets are retweeted from user to user, large cascades of …
content to their own followers. As tweets are retweeted from user to user, large cascades of …
Twitter response to Munich July 2016 attack: Network analysis of influence
I Bermudez, D Cleven, R Gera, ET Kiser… - Frontiers in big …, 2019 - frontiersin.org
Social Media platforms in Cyberspace provide communication channels for individuals,
businesses, as well as state and non-state actors (ie, individuals and groups) to conduct …
businesses, as well as state and non-state actors (ie, individuals and groups) to conduct …
DeepTrust: A Reliable Financial Knowledge Retrieval Framework For Explaining Extreme Pricing Anomalies
PW Chan - arXiv preprint arXiv:2203.08144, 2022 - arxiv.org
Extreme pricing anomalies may occur unexpectedly without a trivial cause, and equity
traders typically experience a meticulous process to source disparate information and …
traders typically experience a meticulous process to source disparate information and …