We are not able to deal with a mammoth text corpus without summarizing them into a
relatively small subset. A computational tool is extremely needed to understand such a …

Real networks exhibit heterogeneous nature with nodes playing far different roles in
structure and function. To identify vital nodes is thus very significant, allowing us to control …

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 …

Political polarization on the digital sphere poses a real challenge to many democracies
around the world. Although the issue has received some scholarly attention, there is a need …

The widespread dissemination of misinformation in social media has recently received a lot
of attention in academia. While the problem of misinformation in social media has been …

With the growth of online social network platforms and applications, large amounts of textual
user-generated content are created daily in the form of comments, reviews, and short-text …

Topic modeling is one of the most powerful techniques in text mining for data mining, latent
data discovery, and finding relationships among data and text documents. Researchers …

Findings of two experimental studies show that Instagram influencers with high numbers of
followers are found more likeable, partly because they are considered more popular …

Analyzing short texts infers discriminative and coherent latent topics that is a critical and
fundamental task since many real-world applications require semantic understanding of …

With the widespread use of social networks, blogs, forums and e-commerce web sites, the
volume of user generated textual data is growing exponentially. User opinions in product …