Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …

Matching user accounts can help us build better users' profiles and benefit many
applications. It has attracted much attention from both industry and academia. Most of …

Evolvement of blockchain technology has greatly changed the network and it makes many
applications to be distributed, decentralized without loss of security. Ethereum is an open …

User identification has been attracting considerable attention from academia. Due to the
uniqueness and difficulty of faking friendship networks, some friendship-based methods …

Understanding how social structures with the use of a network have been an active field of
study for academics in the past five years alone. The need to properly comprehends how …

Understanding how social media users interact with each other and spread information
across multiple platforms is critical for developing effective methods for promoting truthful …

The precision of the conventional user identification algorithm is not satisfactory because it
ignores the role of user-generated data in identity matching. In this paper, we propose a …

Matching user accounts across social networks is helpful for building better user profile,
which has practical significance for many applications. It has attracted many scholars' …

Sentiment analysis (SA) is an essential task for many domains where it is crucial to know
users' public opinion about events, products, brands, politicians and so on. Existing works …

User alignment refers to linking a user's accounts across multiple social networks, which is
important for studying community discovery, recommendation systems, and other related …