Modeling dynamic behavior in large evolving graphs
Given a large time-evolving graph, how can we model and characterize the temporal
behaviors of individual nodes (and network states)? How can we model the behavioral …
behaviors of individual nodes (and network states)? How can we model the behavioral …
Inferring social roles and statuses in social networks
Users in online social networks play a variety of social roles and statuses. For example,
users in Twitter can be represented as advertiser, content contributor, information receiver …
users in Twitter can be represented as advertiser, content contributor, information receiver …
Guided learning for role discovery (GLRD) framework, algorithms, and applications
S Gilpin, T Eliassi-Rad, I Davidson - Proceedings of the 19th ACM …, 2013 - dl.acm.org
Role discovery in graphs is an emerging area that allows analysis of complex graphs in an
intuitive way. In contrast to community discovery, which finds groups of highly connected …
intuitive way. In contrast to community discovery, which finds groups of highly connected …
[PDF][PDF] Unsupervised approaches to detecting anomalous behavior in the bitcoin transaction network
J Hirshman, Y Huang, S Macke - Technical report, Stanford …, 2013 - cs229.stanford.edu
Bitcoin is an electronic crypto-currency created in 2008 by Satoshi Nakamoto (pseudonym).
At the time the original bitcoin client was written, the idea of a purely peer-to-peer (P2P) …
At the time the original bitcoin client was written, the idea of a purely peer-to-peer (P2P) …
Learning, analyzing and predicting object roles on dynamic networks
Dynamic networks are structures with objects and links between the objects that vary in time.
Temporal information in dynamic networks can be used to reveal many important …
Temporal information in dynamic networks can be used to reveal many important …
[PDF][PDF] Entity role discovery in hierarchical topical communities
People and social communities are often characterized by the topics and themes they are
working on, or communicating about. Discovering the roles played by different entities in …
working on, or communicating about. Discovering the roles played by different entities in …
Using self-organizing maps for identification of roles in social networks
S Zehnalova, Z Horak, M Kudelka… - 2013 Fifth International …, 2013 - ieeexplore.ieee.org
In social networks the participants may be characterized by their roles. We understand roles
as different patterns of link structure in the network. These roles describe the node and its …
as different patterns of link structure in the network. These roles describe the node and its …
Analyse des r\^ oles dans les communaut\'es virtuelles: d\'efinitions et premi\eres exp\'erimentations sur IMDb
Role analysis in online communities allows us to understand and predict users behavior.
Though several approaches have been followed, there is still lack of generalization of their …
Though several approaches have been followed, there is still lack of generalization of their …