Limits of static analysis for malware detection

A Moser, C Kruegel, E Kirda - Twenty-third annual computer …, 2007 - ieeexplore.ieee.org
Malicious code is an increasingly important problem that threatens the security of computer
systems. The traditional line of defense against malware is composed of malware detectors …

Adaptive influence maximization in dynamic social networks

G Tong, W Wu, S Tang, DZ Du - IEEE/ACM Transactions on …, 2016 - ieeexplore.ieee.org
For the purpose of propagating information and ideas through a social network, a seeding
strategy aims to find a small set of seed users that are able to maximize the spread of the …

Ranking nodes in complex networks based on local structure and improving closeness centrality

C Salavati, A Abdollahpouri, Z Manbari - Neurocomputing, 2019 - Elsevier
In complex networks, the nodes with most spreading ability are called influential nodes. In
many applications such as viral marketing, identification of most influential nodes and …

Identification of multi-spreader users in social networks for viral marketing

A Sheikhahmadi… - Journal of Information …, 2017 - journals.sagepub.com
Identifying high spreading power nodes is an interesting problem in social networks. Finding
super spreader nodes becomes an arduous task when the nodes appear in large numbers …

Profit maximization for viral marketing in online social networks: Algorithms and analysis

J Tang, X Tang, J Yuan - IEEE Transactions on Knowledge and …, 2017 - ieeexplore.ieee.org
Information can be disseminated widely and rapidly through Online Social Networks (OSNs)
with “word-of-mouth” effects. Viral marketing is such a typical application in which new …

A multi-objective linear threshold influence spread model solved by swarm intelligence-based methods

R Olivares, F Muñoz, F Riquelme - Knowledge-Based Systems, 2021 - Elsevier
The influence maximization problem (IMP) is one of the most important topics in social
network analysis. It consists of finding the smallest seed of users that maximizes the …

Dynamic epistemic logics of diffusion and prediction in social networks

A Baltag, Z Christoff, RK Rendsvig, S Smets - Studia Logica, 2019 - Springer
We take a logical approach to threshold models, used to study the diffusion of opinions, new
technologies, infections, or behaviors in social networks. Threshold models consist of a …

Continuous influence maximization: What discounts should we offer to social network users?

Y Yang, X Mao, J Pei, X He - … of the 2016 international conference on …, 2016 - dl.acm.org
Imagine we are introducing a new product through a social network, where we know for
each user in the network the purchase probability curve with respect to discount. Then, what …

Distributed rumor blocking with multiple positive cascades

G Tong, W Wu, DZ Du - IEEE Transactions on Computational …, 2018 - ieeexplore.ieee.org
Misinformation and rumor can spread rapidly and widely through online social networks and
therefore rumor controlling has become a critical issue. It is assumed in the existing works …

[PDF][PDF] Toward information diffusion model for viral marketing in business

L AlSuwaidan, M Ykhlef - International journal of …, 2016 - pdfs.semanticscholar.org
Current obstacles in the study of social media marketing include dealing with massive data
and real-time updates have motivated to contribute solutions that can be adopted for viral …