freeman_eies — Freeman's EIES networks (1978)

Description

Networks among researchers working on social network analysis, who took part in the Electronic Information Exchange System (EIES) study of S. C. Freeman and L. C. Freeman in 1978, which examined the impact of a computer-based communication system on the relationships among its users. These data are also used as examples in Wasserman and Faust (1994). This version was distributed by T. Opsahl.

time1 and time2: the personal relationships among 48 researchers at the beginning and at the end of the study, respectively. A directed edge (i, j) indicates how researcher i regards researcher j. Only 34 of the 48 researchers appear in the edge lists; the others are isolated nodes.
messages: the number of messages sent among 32 of the researchers who used the electronic communication system. A directed edge (i, j) indicates messages sent from i to j. The source data contain self-loops, whose meaning is not documented.

The node numbering of the messages network does not necessarily correspond to the one of the other two networks.

The networks have the following properties:

time1 and time2: Edges: weight, from 1 to 4 (1: has heard of the person, but not met; 2: has met the person; 3: friend; 4: close personal friend).
messages: Nodes: name, the name of the researcher; discipline, the main disciplinary affiliation (1: sociology, 2: anthropology, 3: mathematics or statistics, 4: others); citations, the number of citations of the researcher in the Social Science Citation Index in 1978. Edges: weight, the number of messages.

Tags

Social Offline Weighted Metadata Temporal

Citation

S. C. Freeman, L. C. Freeman, "The networkers network: A study of the impact of a new communications medium on sociometric structure." Social Science Research Reports 46, University of California, Irvine (1979) scholar.google.com
S. Wasserman, K. Faust, "Social Network Analysis: Methods and Applications." Cambridge University Press (1994) 10.1017/CBO9780511815478 Sci-Hub

Upstream URL OK

https://toreopsahl.com/datasets/#FreemansEIES

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	EPs	gt	GraphML	GML	csv
time1	48	695	14.48	21.52	24.73	0.78	-0.14	0.83	2	0.71	Directed	Unipartite		weight	1 KiB	3 KiB	3 KiB	3 KiB
time2	48	830	17.29	23.97	27.56	0.66	-0.13	0.88	2	0.71	Directed	Unipartite		weight	1 KiB	3 KiB	3 KiB	3 KiB
messages	32	460	14.38	15.16	19.61	0.86	-0.33	0.67	2	1.00	Directed	Unipartite	name discipline citations	weight	2 KiB	3 KiB	3 KiB	3 KiB