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    Dear Socnet mailing list members.



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First version of PajekXXL<http://mrvar.fdv.uni-lj.si/pajek/default.htm> is now available. PajekXXL<http://mrvar.fdv.uni-lj.si/pajek/default.htm> is a special edition of program Pajek.

Its memory consumption is much lower.
For the same network it needs at least 2-3 times less physical memory than Pajek.
Operations that are memory intensive are also faster.

Sparse networks containing up to 100 millions of vertices can be analysed on computers with

4 GRAM memory. Networks containing up to one billion of vertices can be analysed

with 16 GRAM (or more) using PajekXXL<http://mrvar.fdv.uni-lj.si/pajek/default.htm>.



You are welcome to learn more and visit PajekXXL<http://mrvar.fdv.uni-lj.si/pajek/default.htm> pre-release web page:
http://mrvar.fdv.uni-lj.si/pajek

or its mirror

http://mrvar2.fdv.uni-lj.si/pajek

The page containts first version of program PajekXXL<http://mrvar.fdv.uni-lj.si/pajek/default.htm>

together with instructions and some examples.

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On the same page you will find also significantly reconstructed new version of 'ordinary' Pajek3.01<http://mrvar.fdv.uni-lj.si/pajek/default.htm>.
Many improvements and additions were done, the most important:
faster and more efficient memory manager is now included in all Pajek<http://mrvar.fdv.uni-lj.si/pajek/default.htm>

versions. For details see history at:
http://mrvar.fdv.uni-lj.si/pajek

or its mirror

http://mrvar2.fdv.uni-lj.si/pajek

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3.



Cambridge University Press informed us that the first printing of the book:

Exploratory Social Network Analysis with Pajek: Revised and Expanded  Second Edition.

has been sold, the second printing will be available in April:

http://mrvar.fdv.uni-lj.si/pajek/be2.htm

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Simplified Chinese translation of "Exploratory Social Network Analysis with Pajek, 2nd edition"

will be published by the Cambridge University Press in collaboration with a Chinese publisher,

Beijing World Publishing Corporation.

The target publication date for the China Edition is March 2013.

The book was translated by 林枫 (Feng Lin) from The First Affiliated Hospital of Nanjing Medical University.

沃特.德.诺伊, 安德瑞.马禄发, 夫拉迪米尔.巴塔格尔杰:  蜘蛛软件——社会网络分析技术

Big THANKS to Feng Lin for the huge work he had done.
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With best wishes.

Andrej Mrvar

アンドレイ・ムルヴァル

安德瑞.马禄发



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