{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/identifying-networks-with-common","title":"Identifying networks with common organizational principles","arxiv_id":"1704.00387","date":"2017-04-02","proceeding":null,"authors":["Anatol E. Wegner","Luis Ospina-Forero","Robert E. Gaunt","Charlotte M. Deane","Gesine Reinert"],"abstract":"Many complex systems can be represented as networks, and the problem of\nnetwork comparison is becoming increasingly relevant. There are many techniques\nfor network comparison, from simply comparing network summary statistics to\nsophisticated but computationally costly alignment-based approaches. Yet it\nremains challenging to accurately cluster networks that are of a different size\nand density, but hypothesized to be structurally similar. In this paper, we\naddress this problem by introducing a new network comparison methodology that\nis aimed at identifying common organizational principles in networks. The\nmethodology is simple, intuitive and applicable in a wide variety of settings\nranging from the functional classification of proteins to tracking the\nevolution of a world trade network.","url_abs":"http://arxiv.org/abs/1704.00387v1","url_pdf":"http://arxiv.org/pdf/1704.00387v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"identifying-networks-with-common","repo_url":"https://github.com/alan-turing-institute/network-comparison","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"classification","task_name":"General Classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}