Abstract Online Social Network's (OSN) considered a spark that burst the Big Data era. The
unfolding of every event, breaking new or trend flows in real time inside OSN triggering a …

Identity resolution of a person using various online social networks can enable an interested
party to have a better and holistic understanding of former's behavior and personality. Major …

Though representing a promising approach for personalization, targeting, and
recommendation, aggregation of user profiles from multiple social networks will inevitably …

With the popularization of the Internet and the arrival of the big data era, numerous different
social networks (SNs) have emerged to satisfy users' social needs and offer them rich …

Nowadays, social network data of ever increasing size is gathered, stored and analyzed by
researchers from a range of disciplines. This data is often automatically gathered from API's …

User identification across multiple online social networks is beneficial for building
knowledge graphs. Under privacy protection considerations, researchers have shown …

The data linkage techniques “entity linking” and “record linkage” get rising attention as they
enable the integration of multiple data sources for data, web, and text mining approaches …

This chapter provides a survey of different metaheuristic machine learning algorithms used
for various interesting research problems in the domain of social networks and big data. It …

Entity Resolution (ER), a fundamental task in data cleaning and integration, is critical in
various fields such as healthcare, e-commerce, and social networks. Traditional ER methods …

Social network alignment, which aims at finding node correspondences between social
networks, is the cornerstone of fusing big data from different social networks. Most of social …