Exploiting heterogeneous scientific literature networks to combat ranking bias: evidence from the computational linguistics area

Social Sciences

• computational linguistics 87%
• technical literature 64%
• ranking 54%
• trend 30%
• evidence 25%
• gold standard 5%
• reinforcement 4%
• textbook 4%
• literature 3%
• website 3%
• linguistics 3%
• university 2%
• time 1%

Business & Economics

• Computational Linguistics 100%
• Ranking 63%
• Graph 9%
• PageRank 6%
• Gold Standard 5%
• Network Relationships 5%
• Information Networks 5%
• Reinforcement 5%
• Textbooks 5%
• Network Structure 4%
• Usefulness 3%
• Web Sites 3%
• Benchmark 3%
• Competitors 3%

Engineering & Materials Science

• Computational linguistics 86%
• Textbooks 19%
• Heterogeneous networks 16%
• Linguistics 14%
• Websites 13%
• Reinforcement 12%