Super mediator–A new centrality measure of node importance for information diffusion over social network

K Saito, M Kimura, K Ohara, H Motoda - Information Sciences, 2016 - Elsevier
We propose an efficient method to discover a new type of influential nodes in a social
network, which we name “super-mediators”, ie, those nodes which, if removed, decrease …

The effects of evolutionary adaptations on spreading processes in complex networks

R Eletreby, Y Zhuang, KM Carley… - Proceedings of the …, 2020 - National Acad Sciences
A common theme among previously proposed models for network epidemics is the
assumption that the propagating object (eg, a pathogen [in the context of infectious disease …

Rumor spreading model with noise interference in complex social networks

L Zhu, Y Wang - Physica A: Statistical Mechanics and its Applications, 2017 - Elsevier
In this paper, a modified susceptible–infected–removed (SIR) model has been proposed to
explore rumor diffusion on complex social networks. We take variation of connectivity into …

Selecting information diffusion models over social networks for behavioral analysis

K Saito, M Kimura, K Ohara, H Motoda - … 20-24, 2010, Proceedings, Part III …, 2010 - Springer
We investigate how well different information diffusion models can explain observation data
by learning their parameters and discuss which model is better suited to which topic. We use …

Simplicial SIR rumor propagation models with delay in both homogeneous and heterogeneous networks

X Lv, D Fan, Q Li, J Wang, L Zhou - Physica A: Statistical Mechanics and its …, 2023 - Elsevier
In social systems, not only do many interactions take place between pairs of individuals, but
also take place in groups of individuals. To model the rumor propagation with consideration …

Characterizing a spam traffic

LH Gomes, C Cazita, JM Almeida, V Almeida… - Proceedings of the 4th …, 2004 - dl.acm.org
The rapid increase in the volume of unsolicited commercial e-mails, also known as spam, is
beginning to take its toll in system administrators, business corporations and end-users …

Fuzzy epidemic model for the transmission of worms in computer network

BK Mishra, SK Pandey - Nonlinear Analysis: Real World Applications, 2010 - Elsevier
An e-epidemic SIRS (susceptible–infectious–recovered–susceptible) model for the fuzzy
transmission of worms in computer network is formulated. We have analyzed the …

Reciprocity in directed hypergraphs: measures, findings, and generators

S Kim, M Choe, J Yoo, K Shin - Data Mining and Knowledge Discovery, 2023 - Springer
Group interactions are prevalent in a variety of areas. Many of them, including email
exchanges, chemical reactions, and bitcoin transactions, are directional, and thus they are …

Can you infect me now? Malware propagation in mobile phone networks

C Fleizach, M Liljenstam, P Johansson… - Proceedings of the …, 2007 - dl.acm.org
In this paper we evaluate the effects of malware propagating usingcommunication services
in mobile phone networks. Although self-propagating malware is well understood in the …

Structure and network in the YouTube core

JC Paolillo - Proceedings of the 41st Annual Hawaii …, 2008 - ieeexplore.ieee.org
In this paper, we present results of an empirical investigation into the social structure of
YouTube, addressing friend relations and their correlation with tags applied to uploaded …