Proceedings of the 2013 workshop on Computational scientometrics: theory & applications

It is our great pleasure to welcome you to the 2013 ACM International Workshop on Computational Scientometrics: Theory and Applications -- CSTA'13. This is the first time when the CSTA workshop has been organized in the ACM International Conference on Information and Knowledge Management. The primary goals and objectives of the workshop are to promote both theoretical results and practical applications within digital libraries to better answer questions such as how do research ideas emerge, evolve, or disappear as a topic, what is a good measure of quality of published works, what are the most promising areas of research, how authors connect and influence each other, who are the experts in a field, what works are similar, and who funds a particular research topic. The workshop aims at bringing together researchers with diverse interdisciplinary backgrounds interested in mining the web, large digital libraries and other relevant databases for research related publications and data. The combination of classical bibliometrics and novel text mining provides a synergy unavailable within each approach taken independently. In this proposed workshop, we also focus on bibliometrics analysis by using sophisticated text mining, or natural language processing methods, which will enable researchers to generate innovative research topics, e.g. full-text citation analysis. We expect people interested in the practical applications within digital libraries such as citation analysis and recommendation, scientific and research trends, expert finding, and collaborator recommendation, to attend the CSTA'13 workshop. The call for papers attracted submissions from Europe, Australia, and the United States. The program committee accepted 6 papers that cover topics, including program committees recommendation for academic conferences, collaborators recommendation, and citations classification and labeling. In addition, the program includes a keynote speech by Xiaozhong Liu on Full-text Citation Analysis and its Application.