Vulnerability assessment and classification based on influence metrics in mobile social networks

K Nagaraj, SS Bhasale, J McNair, A Helmy - Proceedings of the 17th …, 2019 - dl.acm.org
In emerging 5G wireless systems, Mobile Social Networks (MSN) will play an important role
for providing data services and offloading data traffic from cellular networks. MSNs are …

An immunization framework for social networks through big data based influence modeling

S Peng, G Wang, Y Zhou, C Wan… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Social networks are critical in terms of information or malware propagation. However, how to
contain the spreading of malware in social networks is still an open and challenging issue …

Modeling and propagation analysis on social influence using social big data

S Peng, S Jiang, P Yin - Security, Privacy, and Anonymity in Computation …, 2016 - Springer
Although most existing models focus on the evaluation of social influence in online social
networks, failing to characterize indirect influence. So we present a novel framework for …

Identifying influential nodes with a community structure measure

L Zhang, X Sun, P Wang, J Hou… - 2019 IEEE Fourth …, 2019 - ieeexplore.ieee.org
Locating significant spreaders in social networks is an important issue for optimizing network
structures so as to enhance the robustness of a system. While traditional methods are …

Graph-based modeling using association rule mining to detect influential users in social networks

T Agouti - Expert Systems with Applications, 2022 - Elsevier
Abstract Information diffusion is an important and attractive field of research in the area of
social network analysis, and is at the heart of many studies and applications of knowledge …

Social influence analysis using mobile phone dataset

Q Han - 2016 17th IEEE International Conference on Mobile …, 2016 - ieeexplore.ieee.org
In this paper, we perform social influence analysis using a massive mobile phone dataset
with two applications that are salient to the success of Mobile Network Operators (MNO) …

[HTML][HTML] Evaluating influential nodes in social networks by local centrality with a coefficient

X Zhao, F Liu, J Wang, T Li - ISPRS International Journal of Geo …, 2017 - mdpi.com
Influential nodes are rare in social networks, but their influence can quickly spread to most
nodes in the network. Identifying influential nodes allows us to better control epidemic …

Disseminating real-time messages in opportunistic mobile social networks: A ranking perspective

Q Cai, L Sun, J Niu, Y Liu… - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
There has been a significant body of work on evaluating node criticality in information
networks. However, most of the existing works are developed for static networks and are not …

Leveraging motifs to model the temporal dynamics of diffusion networks

S Sarkar, H Alvari, P Shakarian - … Proceedings of The 2019 World Wide …, 2019 - dl.acm.org
Information diffusion mechanisms based on social influence models are mainly studied
using likelihood of adoption when active neighbors expose a user to a message. The …

Identifying influential nodes in social networks: A voting approach

P Liu, L Li, S Fang, Y Yao - Chaos, Solitons & Fractals, 2021 - Elsevier
With the prosperity of social networks, the research of influence maximization has become
growing importance and captured increasing attention from various disciplines. The key …