https://github.com/ntamas/plfit
Revision 42c66c187ca7f55c2ea76b918bad0105e831fb27 authored by Tamas Nepusz on 27 December 2021, 10:37:13 UTC, committed by Tamas Nepusz on 27 December 2021, 10:37:19 UTC
1 parent e93a739
Tip revision: 42c66c187ca7f55c2ea76b918bad0105e831fb27 authored by Tamas Nepusz on 27 December 2021, 10:37:13 UTC
chore: updated changelog
chore: updated changelog
Tip revision: 42c66c1
karate-commented_dos.dat
## karate-commented.dat data file
## contains the (total) degree sequence of Zachary karate club network
## as described in [Zachary1977]
##
## BibTeX entries
##@article{Zachary1977,
## author = {Wayne W. Zachary},
## title = {An Information Flow Model for Conflict and Fission in Small Groups},
## journal = {Journal of Anthropological Research},
## volume = {33},
## number = {4},
## pages = {452-473},
## year = {1977},
## doi = {10.1086/jar.33.4.3629752},
## eprint = {https://doi.org/10.1086/jar.33.4.3629752},
## abstract = {
## Data from a voluntary association are used to construct a new
## formal model for a traditional anthropological problem, fission
## in small groups. The process leading to fission is viewed as an
## unequal flow of sentiments and information across the ties in a
## social network. This flow is unequal because it is uniquely
## constrained by the contextual range and sensitivity of each
## relationship in the network. The subsequent differential sharing
## of sentiments leads to the formation of subgroups with more internal
## stability than the group as a whole, and results in fission.
## The Ford-Fulkerson labeling algorithm allows an accurate prediction
## of membership in the subgroups and of the locus of the fission to be
## made from measurements of the potential for information flow across
## each edge in the network. Methods for measurement of potential
## information flow are discussed, and it is shown that all appropriate
## techniques will generate the same predictions.}
## }
## End of BibTeX entries
##
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## eof
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