Tagging Users’ Social Circles via Multiple Linear Regression
Journal Title: Informatics - Year 2016, Vol 3, Issue 3
Abstract
A social circle is a category of strong social relationships, such as families, classmates and good friends and so on. The information diffusion among members of online social circles is frequent and credible. The research of users’ online social circles has become popular in recent years. Many scholars propose methods for detecting users’ online social circles. On the other hand, the social meanings and the tags of a social circle are also important for the analysis of a social circle. However, little work involves the tags discovery of social circles. This paper proposes an algorithm for social circle tag detection by multiple linear regression. The model solves the data sparse problem of tags in social circles and successfully combines different categories of features in social circles. We also redmap the concept of the social circle into "reference circles" of an academic paper. We evaluate our method in datasets of both Facebook and Microsoft Academic Search, and prove that it is more effective than other relevant methods.
Authors and Affiliations
Hailong Qin, Jing Liu, Chin-Yew Lin and Ting Liu
Keywords
Related Articles
- EP ID EP44063
- DOI https://doi.org/10.3390/informatics3030010
- Views 229
- Downloads 0
A Recommender System for Programming Online Judges Using Fuzzy Information Modeling
Programming online judges (POJs) are an emerging application scenario in e-learning recommendation areas. Specifically, they are e-learning tools usually used in programming practices for the automatic evaluation of so...
Developing and Improving Student Non-Technical Skills in IT Education: A Literature Review and Model
The purpose of this paper is to identify portions of the literature in the areas of Information Technology (IT) management, skills development, and curriculum development that support the design of a holistic conceptua...
Self-Adaptive Multi-Sensor Activity Recognition Systems Based on Gaussian Mixture Models
Personal wearables such as smartphones or smartwatches are increasingly utilized in everyday life. Frequently, activity recognition is performed on these devices to estimate the current user status and trigger automate...
How Thumbelina Knows
In this paper, I take the book by Michel Serres, “Thumbelina”, as an occasion for reflection on the conceptual basis of knowledge management, as was built by Nonaka and co-workers. The direct access to knowledge that T...
Mayall: A Framework for Desktop JavaScript Auditing and Post-Exploitation Analysis
Writing desktop applications in JavaScript offers developers the opportunity to create cross-platform applications with cutting-edge capabilities. However, in doing so, they are potentially submitting their code to a n...