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Generalized blockmodeling of sparse networks
ID
Žiberna, Aleš
(
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)
URL - Presentation file, Visit
http://www.stat-d.si/mz/mz10.1/Ziberna2013.pdf
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Abstract
The paper starts with an observation that the blockmodeling of relatively sparse binary networks (where we also expect sparse non-null blocks) is problematic. The use of regular equivalence often results in almost all units being classified in the same equivalence class, while using structural equivalence (binary version) only finds very small complete blocks.Two possible ways of blockmodeling such networks within a binary generalized blockmodeling approach are presented. It is also shown that sum of squares (homogeneity) generalized blockmodeling according to structural equivalence is appropriate for this task, although it suffers from the null block problem. A solution to this problem is suggested that makes the approach even more suitable. All approaches are also applied to an empirical example.My general suggestion is to use either binary blockmodeling according to structural equivalence with different weights for inconsistencies or sum of squares (homogeneity) blockmodeling with null and constrained complete blocks. The second approach is more appropriate when we want complete blocks to have rows and columns of similar densities and differentiate among complete blocks based on densities. If these aspects are not important the first approach is more appropriate as it does in general produce cleaner null blocks.
Language:
English
Keywords:
omrežja
,
matematične metode
Work type:
Not categorized
Typology:
1.01 - Original Scientific Article
Organization:
FDV - Faculty of Social Sciences
Year:
2013
Number of pages:
Str. 99-119
Numbering:
Vol. 10, no. 2
PID:
20.500.12556/RUL-75801
UDC:
303
ISSN on article:
1854-0023
COBISS.SI-ID:
32428893
Publication date in RUL:
21.12.2015
Views:
1001
Downloads:
139
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Record is a part of a journal
Title:
Metodološki zvezki
Shortened title:
Metodol. zv.
Publisher:
Fakulteta za družbene vede
ISSN:
1854-0023
COBISS.SI-ID:
215795712
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