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Strengthening social networks analysis by networks fusion

Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2019
The relationship extraction and fusion of networks are the hotspots of current research in social network mining. Most previous work is based on single-source data. However, the relationships portrayed by single-source data are not sufficient to characterize the relationships of the real world.
Feiyu Long   +3 more
openaire   +1 more source

Multiobjective Blockmodeling for Social Network Analysis

Psychometrika, 2013
To date, most methods for direct blockmodeling of social network data have focused on the optimization of a single objective function. However, there are a variety of social network applications where it is advantageous to consider two or more objectives simultaneously.
Brusco, Michael   +3 more
openaire   +3 more sources

Social networks analysis

Proceedings of the Behavioral and Quantitative Game Theory: Conference on Future Directions, 2010
This study examines how early business relationships in company networks may predict later performance and centrality. We define a way of classifying centrality trajectories in social networks, providing a method that can be used more generally to predict network change over time.
openaire   +1 more source

Measurement and analysis of online social networks

Proceedings of the 7th ACM SIGCOMM conference on Internet measurement, 2007
Online social networking sites like Orkut, YouTube, and Flickr are among the most popular sites on the Internet. Users of these sites form a social network, which provides a powerful means of sharing, organizing, and finding content and contacts. The popularity of these sites provides an opportunity to study the characteristics of online social network
Alan Mislove   +4 more
openaire   +2 more sources

Sentiment Analysis on Smoking in Social Networks

2013
Online social networks play a vital role in daily life to share the opinions or behaviors on different topics. The data of social networks can be used to understand health-related behaviors. In this work, we used Twitter status updates to survey of smoking behaviors among the users.
Mustafa Sofean, Matthew Smith 0001
openaire   +2 more sources

Social Network Analysis in Applications

AI Communications, 2015
Katarzyna Musial   +2 more
openaire   +2 more sources

Information avoidance behavior on social network sites: Information irrelevance, overload, and the moderating role of time pressure

International Journal of Information Management, 2020
Chaoyou Wang   +2 more
exaly  

A system for social network analysis

2013 IEEE Third International Conference on Information Science and Technology (ICIST), 2013
Luciene Cristina Alves Rinaldi   +3 more
openaire   +1 more source

Privacy Preserving Social Network Data Publication

IEEE Communications Surveys and Tutorials, 2016
Jemal Abawajy   +2 more
exaly  

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