Title: A RELIABLE AND VITALITY RANKING IN SOCIAL NETWORKING SERVICES
Abstract: Social networking services have been prevalent at many online communities such as twitter.com and weibo.com, where millions of users keep interacting with each other every day, One interesting and important problem in the social networking services is to rank users based on their vitality in a timely fashion. An accurate ranking list of user vitality could benefit many parties in social network services such as the ads providers and site operators. Although it is very promising to obtain a vitality-based ranking list of users, there are many technical challenges due to the large scale and dynamics of social networking data. In this project, we propose a unique perspective to achieve this goal, which is quantifying user vitality by analyzing the dynamic interactions among users on social networks. Examples of social network include but are not limited to social networks in micro blog sites and academicals collaboration networks. If a user has many interactions with his friends within a time period and most of his friends do not have many interactions with their friends simultaneously, based on this idea, we develop quantitative measurements for user vitality and propose our first algorithm for ranking users based vitality. Also we further consider the mutual influence between users while computing the vitality measurements and propose the second ranking algorithm, which computes user vitality in an iterative way.
Publication Year: 2018
Publication Date: 2018-07-01
Language: en
Type: article
Access and Citation
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot