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You may also take a look at the source code.
The network in this dataset can be loaded directly from graph-tool with:
import graph_tool.all as gt
g = gt.collection.ns["citeseer"]

citeseer — CiteSeer citations (2014)


Citations among papers indexed by the CiteSeer digital library. If a paper i cites a paper j also in this data set, then a directed edge connects i to j. (Papers not in the data set are excluded.) Self-loops may be present.1

  1. Description obtained from the ICON project. 

Informational Citation Unweighted
  • K. Bollacker, S. Lawrence, & C. L, Giles, "CiteSeer: An autonomous Web agent for automatic retrieval and identification of interesting publications." In Proc. Int. Conf. on Autonomous Agents, 116-123 (1998), https://doi.org/10.1145/280765.280786 [@sci-hub]
Upstream URL OK
Tip: hover your mouse over a table header to obtain a legend.
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv
citeseer 384,413 1,751,463 4.56 18.85 52.88 582.06 -0.06 0.05 34 0.95 Directed Unipartite 9.2 MiB 15.3 MiB 15.0 MiB 13.0 MiB
None drawing