4 papers
Weighted degrees and truncated derived bibliographic networks
Vladimir Batagelj
Large bibliographic networks are sparse -- the average node degree is small. This is not necessarily true for their product -- in some cases, it can ``explode'' (it is not sparse,…
On weighted two-mode network projections
Vladimir Batagelj
The standard and fractional projections are extended from binary two-mode networks to weighted two-mode networks. Some interesting properties of the extended projections are proved…
Exactly mergeable summaries
Vladimir Batagelj
In the analysis of large/big data sets, aggregation (replacing values of a variable over a group by a single value) is a standard way of reducing the size (complexity) of the data.…
Cores in multiway networks
Vladimir Batagelj
The notion of a core is generalized to multiway networks. To determine the multiway cores, we adapted already-known algorithms for determining the generalized cores in one-mode and…