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PeeringDB capacity graph generated from CAIDA daily dumps of peeringDB. Graph files are stored in a weighted edgelist format in the directory graph/ under the name `{beta_H}_{beta_M}_peeringdb_2_dump_YYYY_MM_DD.txt` The nodes integer label is either a positive number for ASN or a negative number attributed to IXPs. Metadata on nodes are stored in net/ for a AS nodes and ix/ for a IXP node in the format. There is also a most concise view of PeeringDB capacity graph nodes in the nodes/ directory. `peeringdb_2_dump_YYYY_MM_DD.pickle` These binary files are DataFrame (Pandas python library).
In order to read a pickle file named "to_pickle.pickle" in python ```python import pickle pickle_in = open("to_pickle.pickle", "rb") df = pickle.load(pickle_in) pickle_in.close() ``` It can be exported to CSV with the code with `df.to_csv("filename.csv")`
peeringDB, Complex Networks, Internet Topology
peeringDB, Complex Networks, Internet Topology
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 5 |

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