Influence Maximization is an important problem in social networks, and its main goal is to
select some most influential initial nodes (ie, seed nodes) to obtain the maximal influence …

Abstract Knowledge diffusion is the main driving force behind technology innovation,
economic development and social progress. Based on the fact that the people prefer to …

Abstract Knowledge of influential actors on real networks is essential for designing policies
for boosting the spread of positive things (eg, news and innovation) and preventing the …

Abstract Opinion Maximization Problem (OMP) targets at selecting a subset of influential
initial nodes and eventually generating the maximum opinion spread. The current OMP …

Task assignment is a research focus of Mobile Crowd Sensing (MCS). On the arrival of a
sensing task, most researches use the way of immediate recruitment to assign the task …

We study the role and impact of interpersonal relationships on the dissemination of
information, emotions, and behaviors through social higher-order networks. Namely, we …

With the exponential expansion of online social networks (OSNs), an extensive research on
information diffusion in OSNs has been emerged in recent years. One of the key research is …

Opinion-leader mining in social networks is a critical problem in research of the information
dissemination process and in public opinion guidance and supervision. Not every social …

Influence maximization for opinion formation (IMOF) is a significant issue in social networks.
In general, the main goal of the IMOF is to determine a set of optimal nodes in an effective …

Multiple kinds of connections (links) may be encoded into distinct layers in multiplex
networks, with each layer representing a particular type of link. Even if the type of linkages in …