A Scalable System for Bundling Online Social Network Mining Research

Online social networks like Facebook and Twitter have become integral to people’s daily lives, serving as platforms for interaction, information acquisition, and knowledge gain; however, accessing and extracting data from these networks is often constrained by complex APIs and data scraping limitations, leading to restricted research access and shared quotas, necessitating the development of a proxy server presented in this paper that enables cooperative management of researchers’ data contingents, facilitating seamless integration of multiple API accessing programs within the same research group without incurring performance penalties or implementation overhead.

Download paper here

Bibtex

@inproceedings{burchard2020scalable,
  title={A scalable system for bundling online social network mining research},
  author={Burchard, Luk and Schroeder, Daniel Thilo and Pogorelov, Konstantin and Becker, Soeren and Dietrich, Emily and Filkukova, Petra and Langguth, Johannes},
  booktitle={2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS)},
  pages={1--6},
  year={2020},
  organization={IEEE}
}