Earticle

초록

영어

Microblog platform, such as Twitter and Sina, has been one of the major ways of information diffusion in modern society. However, although microblog has been proven to contain lots of information, it is really hard for people to find useful information on it. Besides, some information in microblog such as user IDs is not allowed to publish due to privacy policies. Thus the queries on microblog data can be regarded as privacy-preserved queries. One of the challenged issues is the poor performance of answering privacy-preserved queries over microblog data, which owes to the large and increasing volume and the complex social network structure of microblog data. In this paper, we propose a basic idea to optimize the privacy-preserved queries on microblog data. We use a query-specific approach to treat the queries, i.e., the microblog data is first preprocessed according to the specific requirements of different types of queries, which are then organized through some indexing structures. Our preliminary experiments on real microblog data show that this approach has reasonable performance.

목차

Abstract
 1. Introduction
 2. Problem Statement
 3. Rules for Query Optimization
  3.1 Classification on Privacy-Preserved Queries
  3.2 Data Preprocessing Rules
  3.3 Indexing
 4. Execution of Privacy-Preserved Queries over Microblog Data
  4.1 User-based Queries
  4.2 Event-based Queries
  4.3 Retweet-based & Mention-based Queries
  4.4 All Microblog Queries
 5. Experiment
 6. Conclusions
 Acknowledgements
 References

키워드

저자

• Jie Zhao [ School of Business, Anhui University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605