Vital nodes identification in complex networks
Real networks exhibit heterogeneous nature with nodes playing far different roles in
structure and function. To identify vital nodes is thus very significant, allowing us to control …
structure and function. To identify vital nodes is thus very significant, allowing us to control …
Analysis of online social network connections for identification of influential users: Survey and open research issues
Online social networks (OSNs) are structures that help users to interact, exchange, and
propagate new ideas. The identification of the influential users in OSNs is a significant …
propagate new ideas. The identification of the influential users in OSNs is a significant …
Continuous-time dynamic network embeddings
Networks evolve continuously over time with the addition, deletion, and changing of links
and nodes. Although many networks contain this type of temporal information, the majority of …
and nodes. Although many networks contain this type of temporal information, the majority of …
PageRank beyond the web
DF Gleich - siam REVIEW, 2015 - SIAM
Google's PageRank method was developed to evaluate the importance of web-pages via
their link structure. The mathematics of PageRank, however, are entirely general and apply …
their link structure. The mathematics of PageRank, however, are entirely general and apply …
Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks
Node characteristics and behaviors are often correlated with the structure of social networks
over time. While evidence of this type of assortative mixing and temporal clustering of …
over time. While evidence of this type of assortative mixing and temporal clustering of …
[HTML][HTML] Searching for superspreaders of information in real-world social media
A number of predictors have been suggested to detect the most influential spreaders of
information in online social media across various domains such as Twitter or Facebook. In …
information in online social media across various domains such as Twitter or Facebook. In …
Identifying topical authorities in microblogs
Content in microblogging systems such as Twitter is produced by tens to hundreds of
millions of users. This diversity is a notable strength, but also presents the challenge of …
millions of users. This diversity is a notable strength, but also presents the challenge of …
A shapley value-based approach to discover influential nodes in social networks
R Narayanam, Y Narahari - IEEE transactions on automation …, 2010 - ieeexplore.ieee.org
Our study concerns an important current problem, that of diffusion of information in social
networks. This problem has received significant attention from the Internet research …
networks. This problem has received significant attention from the Internet research …
Identifying the influential bloggers in a community
Blogging becomes a popular way for a Web user to publish information on the Web.
Bloggers write blog posts, share their likes and dislikes, voice their opinions, provide …
Bloggers write blog posts, share their likes and dislikes, voice their opinions, provide …
Data mining in social media
G Barbier, H Liu - Social network data analytics, 2011 - Springer
The rise of online social media is providing a wealth of social network data. Data mining
techniques provide researchers and practitioners the tools needed to analyze large …
techniques provide researchers and practitioners the tools needed to analyze large …