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@netzschleuder@social.skewed.de
2025-10-04 07:00:04

sa_companies: South African companies (1919)
A bipartite network of the affiliations between a small group of individuals and five important companies in South African finance, around 1919.
This network has 11 nodes and 13 edges.
Tags: Social, Affiliation, Unweighted
networks.skewed.de/net/sa_comp

sa_companies: South African companies (1919). 11 nodes, 13 edges. https://networks.skewed.de/net/sa_companies

sa_companies — South African companies (1919)
A bipartite network of the affiliations between a small group of individuals and five important companies in South African finance, around 1919.

@netzschleuder@social.skewed.de
2025-09-04 03:00:04

sa_companies: South African companies (1919)
A bipartite network of the affiliations between a small group of individuals and five important companies in South African finance, around 1919.
This network has 11 nodes and 13 edges.
Tags: Social, Affiliation, Unweighted
networks.skewed.de/net/sa_comp

sa_companies: South African companies (1919). 11 nodes, 13 edges. https://networks.skewed.de/net/sa_companies

sa_companies — South African companies (1919)
A bipartite network of the affiliations between a small group of individuals and five important companies in South African finance, around 1919.

@netzschleuder@social.skewed.de
2025-08-05 05:00:04

sa_companies: South African companies (1919)
A bipartite network of the affiliations between a small group of individuals and five important companies in South African finance, around 1919.
This network has 11 nodes and 13 edges.
Tags: Social, Affiliation, Unweighted
networks.skewed.de/net/sa_comp

sa_companies: South African companies (1919). 11 nodes, 13 edges. https://networks.skewed.de/net/sa_companies

sa_companies — South African companies (1919)
A bipartite network of the affiliations between a small group of individuals and five important companies in South African finance, around 1919.

@netzschleuder@social.skewed.de
2025-09-05 08:00:04

new_zealand_collab: New Zealand scientific collaborations (2015)
A network of scientific collaborations among institutions in New Zealand. Nodes are institutions (universities, organizations, etc.), and two nodes i,j are connected if Scopus lists at least one publication with authors at institutions i and j, in the period 2010-2015. Edges are weighted by the number of such collaborations. Nodes are annotated with the categorical type of institution.
This network has 1511 nodes an…

new_zealand_collab: New Zealand scientific collaborations (2015). 1511 nodes, 4273 edges. https://networks.skewed.de/net/new_zealand_collab

new_zealand_collab — New Zealand scientific collaborations (2015)
A network of scientific collaborations among institutions in New Zealand. Nodes are institutions (universities, organizations, etc.), and two nodes i,j are connected if Scopus lists at least one publication with authors at institutions i and j, in the period 2010-2015. Edges are weighted by the number of such collaborations. Nodes are annotated with the categorical type of institution.

@netzschleuder@social.skewed.de
2025-10-05 11:00:05

bag_of_words: Bag of words (2008)
Five text collections in the form of bags-of-words, i.e. a bipartite document–word network. Left nodes are documents and right nodes are words. Edge weights are multiplicities. .
This network has 67963 nodes and 3710420 edges.
Tags: Informational, Text, Bipartite, Weighted, Metadata
…

bag_of_words: Bag of words (2008). 67963 nodes, 3710420 edges. https://networks.skewed.de/net/bag_of_words#enron

bag_of_words — Bag of words (2008)
Five text collections in the form of bags-of-words, i.e. a bipartite document–word network. Left nodes are documents and right nodes are words. Edge weights are multiplicities. After tokenization and removal of stopwords, the vocabulary of unique words was truncated by only keeping words that occurred more than ten times. Individual document names (i.e. a identifier for each docID) are not provided for copyright reasons.

@netzschleuder@social.skewed.de
2025-08-05 12:00:04

anybeat: Anybeat social network (2013)
A snapshot of the Anybeat online social network from 2013, before it was shut down. Nodes are users and links represent friendships. The edge direction (i, j) denotes the user i follows user j.
This network has 12645 nodes and 67053 edges.
Tags: Social, Online, Unweighted
ne…

anybeat: Anybeat social network (2013). 12645 nodes, 67053 edges. https://networks.skewed.de/net/anybeat

anybeat — Anybeat social network (2013)
A snapshot of the Anybeat online social network from 2013, before it was shut down. Nodes are users and links represent friendships. The edge direction (i, j) denotes the user i follows user j.

@netzschleuder@social.skewed.de
2025-10-05 05:00:05

dblp_cite: DBLP citations (2014)
Citations among papers contained in the DBLP computer science bibliography. 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. This snapshot from May 2014.
This network has 12590 nodes and 49759 edges.
Tags: Informational, Citation, Unweighted

dblp_cite: DBLP citations (2014). 12590 nodes, 49759 edges. https://networks.skewed.de/net/dblp_cite

dblp_cite — DBLP citations (2014)
Citations among papers contained in the DBLP computer science bibliography. 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. This snapshot from May 2014.

@netzschleuder@social.skewed.de
2025-09-04 07:00:13

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.
This network has 384413 nodes and 1751463 edges.
Tags: Informational, Citation, Unweighted

citeseer: CiteSeer citations (2014). 384413 nodes, 1751463 edges. https://networks.skewed.de/net/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.

@netzschleuder@social.skewed.de
2025-09-04 14:00:13

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.
This network has 384413 nodes and 1751463 edges.
Tags: Informational, Citation, Unweighted

citeseer: CiteSeer citations (2014). 384413 nodes, 1751463 edges. https://networks.skewed.de/net/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.

@netzschleuder@social.skewed.de
2025-11-03 22:00:04

bag_of_words: Bag of words (2008)
Five text collections in the form of bags-of-words, i.e. a bipartite document–word network. Left nodes are documents and right nodes are words. Edge weights are multiplicities. .
This network has 10336 nodes and 353160 edges.
Tags: Informational, Text, Bipartite, Weighted, Metadata

bag_of_words: Bag of words (2008). 10336 nodes, 353160 edges. https://networks.skewed.de/net/bag_of_words#kos

bag_of_words — Bag of words (2008)
Five text collections in the form of bags-of-words, i.e. a bipartite document–word network. Left nodes are documents and right nodes are words. Edge weights are multiplicities. After tokenization and removal of stopwords, the vocabulary of unique words was truncated by only keeping words that occurred more than ten times. Individual document names (i.e. a identifier for each docID) are not provided for copyright reasons.