Graph based anomaly detection and description: a survey

L Akoglu, H Tong, D Koutra - Data mining and knowledge discovery, 2015 - Springer
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 …

Multiple anonymized social networks alignment

J Zhang, SY Philip - 2015 IEEE International Conference on …, 2015 - ieeexplore.ieee.org
Users nowadays are normally involved in multiple (usually more than two) online social
networks simultaneously to enjoy more social network services. Some of the networks that …

Simultaneous optimization of both node and edge conservation in network alignment via WAVE

Y Sun, J Crawford, J Tang, T Milenković - Algorithms in Bioinformatics …, 2015 - Springer
Network alignment can be used to transfer functional knowledge between conserved
regions of different networks. Existing methods use a node cost function (NCF) to compare …

Structured learning from heterogeneous behavior for social identity linkage

S Liu, S Wang, F Zhu - IEEE Transactions on Knowledge and …, 2015 - ieeexplore.ieee.org
Social identity linkage across different social media platforms is of critical importance to
business intelligence by gaining from social data a deeper understanding and more …

Exploring and making sense of large graphs

D Koutra - Computer Science Department, Carnegie Mellon …, 2015 - apps.dtic.mil
Graphs naturally represent information ranging from links between webpages to friendships
in social networks, to connections between neurons in our brains. These graphs often span …

[PDF][PDF] Danai Koutra, Computer Science Department, Carnegie Mellon University. Neil Shah, Computer Science Department, Carnegie Mellon University. Joshua T …

C Faloutsos - nshah.net
How much did a network change since yesterday? How different is the wiring between Bob's
brain (a left-handed male) and Alice's brain (a right-handed female), and how is it different …

[引用][C] Danai Koutra, Computer Science and Engineering, University of Michigan, Ann Arbor1 Neil Shah, Computer Science Department, Carnegie Mellon University …