In this survey we review the literature and concepts of the data mining of social networks, with special emphasis on their representation as a graph structure. The survey is divided …
Detecting anomalies in data is a vital task, with numerous high-impact applications in areas such as security, finance, health care, and law enforcement. While numerous techniques …
L Backstrom, J Leskovec - Proceedings of the fourth ACM international …, 2011 - dl.acm.org
Predicting the occurrence of links is a fundamental problem in networks. In the link prediction problem we are given a snapshot of a network and would like to infer which …
Y Zhou, H Cheng, JX Yu - Proceedings of the VLDB Endowment, 2009 - dl.acm.org
The goal of graph clustering is to partition vertices in a large graph into different clusters based on various criteria such as vertex connectivity or neighborhood similarity. Graph …
M Sozio, A Gionis - Proceedings of the 16th ACM SIGKDD international …, 2010 - dl.acm.org
A lot of research in graph mining has been devoted in the discovery of communities. Most of the work has focused in the scenario where communities need to be discovered with only …
H Tong, C Faloutsos, JY Pan - Sixth international conference on …, 2006 - ieeexplore.ieee.org
How closely related are two nodes in a graph? How to compute this score quickly, on huge, disk-resident, real graphs? Random walk with restart (RWR) provides a good relevance …
In this survey, we provide an overview of the literature on knowledge graphs (KGs) in the context of information retrieval (IR). Modern IR systems can benefit from information …
J Cheng, AW Fu, J Liu - Proceedings of the 2010 ACM SIGMOD …, 2010 - dl.acm.org
Serious concerns on privacy protection in social networks have been raised in recent years; however, research in this area is still in its infancy. The problem is challenging due to the …
How closely related are two nodes in a graph? How to compute this score quickly, on huge, disk-resident, real graphs? Random walk with restart (RWR) provides a good relevance …