Social network analysis of an online dating network
Loading...
Fulltext URI
Document type
Text
Files
Additional Information
Date
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Springer, London
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.
Description
Keywords
Online Dating Network, Social Network Analysis, User profile, User preference
Citation
URI
URI
Endorsement
Review
Supplemented By
Referenced By
Number of citations to item: 5
- Zhe Liu, Bernard J. Jansen (2015): Analysis of Question and Answering Behavior in Question Routing Services, In: Lecture Notes in Computer Science, doi:10.1007/978-3-319-22747-4_6
- Lin Chen, Richi Nayak, Yue Xu (2012): A common neighbour based two-way collaborative recommendation method, In: Proceedings of the 27th Annual ACM Symposium on Applied Computing, doi:10.1145/2245276.2245317
- Deepak Uniyal, Richi Nayak (2024): Twitter’s pulse on hydrogen energy in 280 characters: a data perspective, In: Social Network Analysis and Mining 1(14), doi:10.1007/s13278-023-01194-6
- Lin Chen, Richi Nayak (2013): A Reciprocal Collaborative Method Using Relevance Feedback and Feature Importance, In: 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), doi:10.1109/wi-iat.2013.20
- JingMin Huang, Gianluca Stringhini, Peng Yong (2015): Quit Playing Games with My Heart: Understanding Online Dating Scams, In: Lecture Notes in Computer Science, doi:10.1007/978-3-319-20550-2_12