Social network analysis of an online dating network

Authors:
Lin Chen;Richi Nayak
Affiliations:
Queensland University of Technology;Queensland University of Technology
Venue:
Proceedings of the 5th International Conference on Communities and Technologies
Year:
2011

Citing 11
Cited 1

Referral Web: combining social networks and collaborative filtering

Communications of the ACM
Trawling the Web for emerging cyber-communities

WWW '99 Proceedings of the eighth international conference on World Wide Web
Mining the network value of customers

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Data Structures and Algorithms

Data Structures and Algorithms
Modeling and predicting personal information dissemination behavior

Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Mining hidden community in heterogeneous social networks

Proceedings of the 3rd international workshop on Link discovery
POLYPHONET: an advanced social network extraction system from the web

Proceedings of the 15th international conference on World Wide Web
Measurement and analysis of online social networks

Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Assessing attractiveness in online dating profiles

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Expertise Analysis in a Question Answer Portal for Author Ranking

WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
User interactions in social networks and their implications

Proceedings of the 4th ACM European conference on Computer systems

A common neighbour based two-way collaborative recommendation method

Proceedings of the 27th Annual ACM Symposium on Applied Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Online social networks can be found everywhere from chatting websites like MSN, blogs such as MySpace to social media such as YouTube and second life. Among them, there is one interesting type of online social networks, online dating network that is growing fast. This paper analyzes an online dating network from social network analysis point of view. Observations are made and results are obtained in order to suggest a better recommendation system for people-to-people networks.