Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

32

ECAI
2010
Springer

favoriteEmaildiscussreport

200views Artificial Intelligence» more ECAI 2010»

Prediction of Attributes and Links in Temporal Social Networks

13 years 12 months ago

Prediction of Attributes and Links in Temporal Social Networks

Download www.ist.temple.edu

The analysis of social networks often assumes the time invariant scenario while in practice node attributes and links in such networks often evolve over time. In this paper, we propose a new method to predict node attributes and links in temporal networks.

Vladimir Ouzienko, Yuhong Guo, Zoran Obradovic

Real-time Traffic

Artificial Intelligence | ECAI 2010 | Node Attributes | Practice Node Attributes | Time Invariant Scenario |

claim paper

Related Content

» Supervised Random Walks Predicting and Recommending Links in Social Networks

» Link Prediction on Evolving Data Using Matrix and Tensor Factorizations

» Link Prediction in Relational Data

» LINKREC a unified framework for link recommendation with user attributes and graph structu...

» Pruning Social Networks Using Structural Properties and Descriptive Attributes

» Randomization tests for distinguishing social influence and homophily effects

» Learning Probabilistic Models of Link Structure

» Pseudo Cold Start Link Prediction with Multiple Sources in Social Networks

» Predicting Interests of People on Online Social Networks

Post Info
More Details (n/a)

Added	08 Nov 2010
Updated	08 Nov 2010
Type	Conference
Year	2010
Where	ECAI
Authors	Vladimir Ouzienko, Yuhong Guo, Zoran Obradovic

Comments (0)