Interactions via social media platforms have made it possible for anyone, irrespective of
physical location, to gain access to quick information on events taking place all over the …

The explosive growth in popularity of social networking leads to the problematic usage. An
increasing number of social network mental disorders (SNMDs), such as Cyber-Relationship …

In this study, we investigate expected CP decomposition—a special case of CP
decomposition in which a tensor to be decomposed is given as the sum or average of tensor …

Twitter hashtags are typically used to categorize a tweet, to monitor ongoing conversations,
and to facilitate accurate retrieval of posts. Hashtag hijacking occurs when a group of users …

Micro-blogging networks have become the most influential online social networks in recent
years, more and more people are used to obtain and diffuse information in them. Detecting …

Twitter is used for various applications such as disaster monitoring and news material
gathering. In these applications, each Tweet is classified into pre-defined classes. These …

Automatic geolocation of microblog posts from their text content is particularly difficult
because many location-indicative terms are rare terms, notably entity names such as …

# MyBodyMyChoice is a well-known hashtag originally created to advocate for women's
rights, often used in discourse about abortion and bodily autonomy. The Covid-19 outbreak …

Data in many fields such as e-commerce, social networks, and web data can be modeled as
bipartite graphs, where a node represents a person and/or an object and a link represents …

In this paper we show how the performance of tweet clustering can be improved by
leveraging character-based neural networks. The proposed approach overcomes the …