Internet traffic analysis in a large university town: A graphical and clustering approach

Mathematics

• Traffic Analysis 100%
• Internet Traffic 95%
• Universities 73%
• Clustering 57%
• Graphics 50%
• Traffic 33%
• Spectral Clustering 30%
• Similarity 17%
• Data Communication 15%
• Heterogeneous Networks 15%
• Clustering Algorithm 13%
• Divide and conquer 13%
• Anomalous 11%
• Server 10%
• Experimental Results 10%
• Bipartite Graph 9%
• Projection 7%
• Range of data 6%
• Model 3%

Engineering & Materials Science

• Internet 41%
• Heterogeneous networks 15%
• Smartphones 14%
• Clustering algorithms 13%
• Servers 10%
• Communication 7%