(original) (raw)

TY - JOUR AU - Clauset, Aaron AU - Moore, Cristopher AU - Newman, M. E. J. PY - 2008 DA - 2008/05/01 TI - Hierarchical structure and the prediction of missing links in networks JO - Nature SP - 98 EP - 101 VL - 453 IS - 7191 AB - Networks are now a ubiquitous tool for representing the structure of complex systems, including the Internet, social networks, food webs, and protein and genetic networks. Unfortunately, the data describing these networks are in many cases incomplete or biased. A new study provides a general technique to divide network vertices into groups and sub-groups. Revealing such underlying hierarchies makes it possible to predict missing links from partial data with higher accuracy than previous methods. SN - 1476-4687 UR - https://doi.org/10.1038/nature06830 DO - 10.1038/nature06830 ID - Clauset2008 ER -