Online social networks have grown exponentially in the recent years while finding
applications in real life like marketing, recommendation systems, and social awareness …

Influence maximization in online social networks is a trending research area due to its use in
many real-world domains. Influence maximization addresses the problem of identifying a k …

Many practical applications have observed knowledge evolution, ie, continuous born of new
knowledge, with its formation influenced by the structure of historical knowledge. This …

Accurately modeling the inter-arrival distribution is critical for synthesizing memory traces to
evaluate performance. The intensity and complexity of memory accesses have increased …

As cloud platforms become increasingly popular, accurately understanding I/O behaviors in
modern cloud storage is of paramount importance for system design and optimization. This …

Influence Maximization (IM) aims to select a seed set of size k in a social network so that
information can be spread most widely under a specific information propagation model …

The design and performance optimization of flash-based storage subsystems are crucial for
improving the system performance of Android-based Smartphones. However, it highly relies …

Mobile Event-Based Social Network (EBSN) platforms, such as Meetup and Plancast, have
become increasingly popular for online organization of offline (in-person) events. The …

Online Social Networks (OSNs) have grown exponentially in the last few years due to their
applications in real life like marketing, recommendation systems, and social awareness …

Most of the existing work done in the area of influence maximization (IM) in online social
networks (OSNs) aims at the development of an algorithm for identification of seed set or the …