@inproceedings{9b10381b256747bebc7ecb0de67679fa,
title = "On efficiently generating realistic social media timeline structures",
abstract = "A framework of synthetic data generator to generate social media timeline structures is proposed in this paper, which is useful for benchmarking query processing over social media data, and validating hypothesis over users' behavior. It is flexible to generate synthetic data with different distributions. With the help of its asynchronized parallel processing model and delayed update strategy, it is efficient to feed out timeline structure with high throughput. We show in experiments that our method can generate realistic social media timeline structures efficiently.",
author = "Chengcheng Yu and Fan Xia and Weining Qian and Aoying Zhou and Jianlong Chang",
year = "2014",
month = jun,
day = "30",
doi = "10.1145/2618243.2618272",
language = "英语",
isbn = "9781450327220",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
booktitle = "SSDBM 2014 - Proceedings of the 26th International Conference on Scientific and Statistical Database Management",
address = "美国",
note = "26th International Conference on Scientific and Statistical Database Management, SSDBM 2014 ; Conference date: 30-06-2014 Through 02-07-2014",
}