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Table of Contents
Introduction
Tools
- Visualization
PADGETT FLORENTINE FAMILIES Study
PADGETT FLORENTINE FAMILIES
DATASET PADGETT and PADGW / Pajek
DESCRIPTION PADGETT
Two 16×16 matrices:
PADGB symmetric binary
PADGM symmetric binary
PADGW
One 16×3 matrix, valued.
BACKGROUND Breiger & Pattison (1986), in their discussion of local role analysis, use a subset of data on the social relations among Renaissance Florentine families (person aggregates) collected by John Padgett from historical documents. The two relations are business ties (PADGB - specifically, recorded financial ties such as loans, credits and joint partnerships) and marriage alliances (PADGM).
As Breiger & Pattison point out, the original data are symmetrically coded. This is acceptable perhaps for marital ties, but is unfortunate for the financial ties (which are almost certainly directed). To remedy this, the financial ties can be recoded as directed relations using some external measure of power - for instance, a measure of wealth. PADGW provides information on (1) each family's net wealth in 1427 (in thousands of lira); (2) the number of priorates (seats on the civic council) held between 1282- 1344; and (3) the total number of business or marriage ties in the total dataset of 116 families (see Breiger & Pattison (1986), p 239).
Substantively, the data include families who were locked in a struggle for political control of the city of Florence in around 1430. Two factions were dominant in this struggle: one revolved around the infamous Medicis (9), the other around the powerful Strozzis (15).
REFERENCES
- Breiger R. and Pattison P. (1986). Cumulated social roles: The duality of persons and their algebras. Social Networks, 8, 215-256. PDF
- Kent D. (1978). The rise of the Medici: Faction in Florence, 1426-1434. Oxford: Oxford University Press.
- Padgett, John F; Ansell, Christopher K. (1993). Robust action and the rise of the Medici, 1400-1434. The American Journal of Sociology, 98 (6). PDF
DL N=16 NM=2 FORMAT = FULLMATRIX DIAGONAL PRESENT ROW LABELS: ACCIAIUOL ALBIZZI BARBADORI BISCHERI CASTELLAN GINORI GUADAGNI LAMBERTES MEDICI PAZZI PERUZZI PUCCI RIDOLFI SALVIATI STROZZI TORNABUON COLUMN LABELS: ACCIAIUOL ALBIZZI BARBADORI BISCHERI CASTELLAN GINORI GUADAGNI LAMBERTES MEDICI PAZZI PERUZZI PUCCI RIDOLFI SALVIATI STROZZI TORNABUON LEVEL LABELS: PADGM PADGB DATA: 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 0 1 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
DL NR=16 NC=3 FORMAT = FULLMATRIX DIAGONAL PRESENT ROW LABELS: ACCIAIUOL ALBIZZI RIDOLFI STROZZI BARBADORI BISCHERI CASTELLAN GUADAGNI LAMBERTES MEDICI PAZZI PERUZZI SALVIATI TORNABUON GINORI PUCCI COLUMN LABELS: WEALTH #PRIORS #TIES DATA: 10 53 2 36 65 3 27 38 4 146 74 29 55 0 14 44 12 9 20 22 18 8 21 14 42 0 14 103 53 54 48 0 7 49 42 32 10 35 5 48 0 7 32 0 9 3 0 1
QAP result
QAP CORRELATION
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Data Matrices: PADGB
PADGM
# of Permutations: 5000
Random seed: 8954
Method: Fast: no missing values allowed
QAP results for PADGM * PADGB (5000 permutations)
1 2 3 4 5 6 7 8
Obs Value Significa Average Std Dev Minimum Maximum Prop >= O Prop <= O
--------- --------- --------- --------- --------- --------- --------- ---------
Pearson Correlation 0.3719 0.0016 0.0032 0.0944 -0.1690 0.4395 0.0016 0.9998
QAP Correlations
1 2
PADGB PADGM
----- -----
1 PADGB 1.000 0.372
2 PADGM 0.372 1.000
QAP P-Values
1 2
PADGB PADGM
----- -----
1 PADGB 0.000 0.002
2 PADGM 0.002 0.000
QAP statistics saved as datafile QAP Correlation Results
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Running time: 00:00:01
Output generated: 12 5 16 08:44:36
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