计算机科学与探索Issue(8)：945-953,9.DOI:10.3778/j.issn.1673-9418.1410041
面向关系语境的罪犯藏匿位置预测方法
Relation Context Oriented Approach to Predict Hiding Location of Criminals
摘要
Abstract
It is an important and challenging task to predict hiding locations of target criminals. This paper proposes a relation context oriented approach to predict hiding locations of target criminals. The proposed approach first finds the minimal strong tie subset by computing trust strength between users in relation context oriented social networks, and selects the candidate location subset that target criminals may hide based on users’historic location trails, and then predicts the current most likely hiding locations of the target criminals by collaborative filtering computation. This way combines the social relationships and historic location information of users, thus it is helpful to abate the blindness and difficulties of predicting directly the hiding locations of target criminals. Finally, simulations on syn-thetic data are conducted to evaluate the effectiveness of the proposed approach.关键词
社会网络/关系语境/轨迹/位置预测Key words
social networks/relation context/trajectory/location prediction分类
信息技术与安全科学引用本文复制引用
张彩平,周丽华,陈红梅,阮惠风..面向关系语境的罪犯藏匿位置预测方法[J].计算机科学与探索,2015,(8):945-953,9.基金项目
The National Natural Science Foundation of China under Grant Nos.61262069,61472346(国家自然科学基金) （国家自然科学基金）
