The influence maximization problem has gained increasing attention in recent years.
Previous research focuses on the development of algorithms to analyze static social …

Online social networks have become an important platform for people to communicate,
share knowledge and disseminate information. Given the widespread usage of social …

With the burgeoning advancements of computing and network communication technologies,
network infrastructures and their application environments have become increasingly …

Recent years have witnessed a growing trend toward employing deep reinforcement
learning (Deep-RL) to derive heuristics for combinatorial optimization (CO) problems on …

Influence analysis aims at detecting influential vertices in networks and utilizing them in cost-
effective business strategies. Influence analysis in large-scale networks is a key technique in …

The influence maximization problem aims to identify influential nodes allowing to reach the
viral marketing objectives on social networks. Previous researches are mainly concerned …

Outstanding users (OUs) denote the influential,“core” or “bridge” users in online social
networks. How to accurately detect and rank them is an important problem for third-party …

Research on social networks is at its peak in the current era of big data, especially in the
field of computer research. Link prediction in social networks has attracted an increasing …