Predicting the future success of scientific publications through social network and semantic analysis

Abstract

Citations acknowledge the impact a scientific publication has on subsequent work. At the same time, deciding how and when to cite a paper, is also heavily influenced by social factors. In this work, we conduct an empirical analysis based on a dataset of 2010-2012 global publications in chemical engineering. We use social network analysis and text mining to measure publication attributes and understand which variables can better help predicting their future success. Controlling for intrinsic quality of a publication and for the number of authors in the byline, we are able to predict scholarly impact of a paper in terms of citations received six years after publication with almost 80 percent accuracy. Results suggest that, all other things being equal, it is better to co-publish with rotating co-authors and write the papers' abstract using more positive words, and a more complex, thus more informative, language. Publications that result from the collaboration of different social groups also attract more citations.

References in corpus (22)

• XGBoost: A Scalable Tree Boosting System
• A Unified Approach to Interpreting Model Predictions
• Evolution of the social network of scientific collaborations
• Quantifying Long-Term Scientific Impact
• Principles of scientific research team formation and evolution
• A small world of citations? The influence of collaboration networks on citation practices
• The Chaperone Effect in Scientific Publishing
• Predicting long-term publication impact through a combination of early citations and journal impact factor
• The relationship between the number of authors of a publication, its citations and the impact factor of the publishing journal: Evidence from Italy
• Predicting the long-term citation impact of recent publications
• Growth and structure of Slovenia's scientific collaboration network
• Assessing the varying level of impact measurement accuracy as a function of the citation window length
• It is rotating leaders who build the swarm: social network determinants of growth for healthcare virtual communities of practice
• What is the appropriate length of the publication period over which to assess research performance?
• The power of reciprocal knowledge sharing relationships for startup success
• The impact of virtual mirroring on customer satisfaction
• Forecasting managerial turnover through e-mail based social network analysis
• Peer review vs bibliometrics: which method better predicts the scholarly impact of publications?
• The effect of a country's name in the title of a publication on its visibility and citability
• Robustness and stability of enterprise intranet social networks: The impact of moderators
• Does your surname affect the citability of your publications?
• Coauthorship networks: A directed network approach considering the order and number of coauthors