slumlords — Slumlord collusion (2010)

Description

Networks of a group of "slumlords", real-estate investors who were convicted of housing violations in multiple buildings (including sewage leaks, lead contamination, evictions of complaining tenants, and unpaid utility bills), as mapped by a small not-for-profit economic justice organisation with the help of Valdis Krebs (orgnet.com) to assist the city attorney. The networks correspond to the figures of the step-by-step analysis described by Krebs, and were reconstructed at the University of Manchester. Nodes are persons (with pseudonymous first names) and businesses (limited liability companies), named in the vertex property name.

transactions: directed network of real-estate transactions (property sold from one company to another) among 5 companies (Fig. 1).
ownership: bipartite network of 11 owners and the 5 companies they own (Fig. 2); is_business marks the companies.
co_ownership: one-mode projection of ownership, connecting owners of the same company.
family: family ties among the 11 owners (Fig. 3).
extended_family: family ties among 13 persons, including relatives who are not owners (Fig. 4).
business_interests: bipartite network of 13 persons and 9 businesses and properties, connected by business affiliations or ownership (Fig. 5); is_business marks the businesses.
business_ties: ties among the 9 businesses and properties that have affiliated persons or owners in common.

Where the two directions of the undirected source matrices differ, the tie is included.¹

Description obtained in part from the UCINET datasets page. ↩

Tags

Social Offline Unweighted Projection

Citation

V. Krebs, "Social Network Analysis of Slumlords." orgnet.com www.orgnet.com

Upstream URL OK

https://sites.google.com/site/ucinetsoftware/datasets/covert-networks/slumlords

Networks

Tip: click on a column header to sort the list, or hover over it for a description.

Column legend

$\left<k\right>$: Mean degree
$\sigma_k$: Standard deviation of the degrees
$\lambda_h$: Largest eigenvalue of the Hashimoto (non-backtracking) matrix
$\tau$: Random walk mixing time
$r$: Degree assortativity
$c$: Global clustering coefficient
$\oslash$: (Pseudo-) diameter
$S$: Relative size of the largest component
NPs: Node properties
EPs: Edge properties

Name	Nodes	Edges	$\left<k\right>$	$\sigma_k$	$\lambda_h$	$\tau$	$r$	$c$	$\oslash$	$S$	Kind	Mode	NPs	gt	GraphML	GML	csv
transactions	5	4	0.80	0.49	1.00	2.89	-0.33	0.00	4	1.00	Directed	Bipartite	name	1 KiB	1 KiB	1 KiB	1 KiB
ownership	16	11	1.38	0.60	1.00	0.01	-0.80	0.00	2	0.25	Undirected	Bipartite	name is_business	1 KiB	1 KiB	1 KiB	1 KiB
co_ownership	11	7	1.27	0.45	1.00	nan	1.00	1.00	1	0.27	Undirected	Unipartite	name	1 KiB	1 KiB	1 KiB	1 KiB
family	11	16	2.91	0.90	2.50	1.13	0.35	0.43	2	0.64	Undirected	Unipartite	name	1 KiB	1 KiB	1 KiB	1 KiB
extended_family	13	23	3.54	1.01	2.81	9.23	0.10	0.46	5	1.00	Undirected	Unipartite	name	1 KiB	1 KiB	1 KiB	1 KiB
business_interests	22	15	1.36	0.83	1.00	0.03	-0.67	0.00	2	0.23	Undirected	Bipartite	name is_business	1 KiB	1 KiB	1 KiB	1 KiB
business_ties	9	15	3.33	1.70	2.62	2.33	-0.39	0.50	2	1.00	Undirected	Unipartite	name	1 KiB	1 KiB	1 KiB	1 KiB