On Monday, 4th of May 2020 at 4 PM we kindly invite you to attend the (on-line)  MONDAY COMPUTER SCIENCE SEMINAR organized by the Department of Information Sciences and Technologies at UP FAMNIT and UP IAM, this time joint with the MATHEMATICAL RESEARCH SEMINAR organized by the Department of Mathematics at UP FAMNIT and UP IAM.

TIME and PLACE: 4th of May 2020 at 4 PM on-line 

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PRESENTER: Vladimir BATAGELJ
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Vladimir Batagelj, Professor Emeritus
   IMFM - Institute of Mathematics, Physics, and Mechanics
   Jadranska 19, 1000 Ljubljana, Slovenia and
   University of Primorska, Andrej Marušič Institute, Koper and
   NRU HSE, Applied Network Research Lab, Moscow
W: http://vladowiki.fmf.uni-lj.si/doku.php?id=vlado

RECENT PUBLICATIONS:
On fractional approach to analysis of linked networks
   (https://doi.org/10.1007/s11192-020-03383-y)
Clustering and Generalized ANOVA for Symbolic Data
   (http://www.iste.co.uk/book.php?id=1597)
Temporal bibliographic networks
   (https://authors.elsevier.com/a/1aRuH6EAijpVq-)
Advances in Network Clustering and Blockmodeling (book) 
   (https://www.wiley.com/en-si/Advances+in+Network+Clustering+and+Blockmodeling-p-9781119224709)

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TITLE: NetsJSON - part 2
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ABSTRACT: 

A network consists of a graph and additional data on (properties of) nodes and/or links.
In some applications, the values of properties can be structured objects such us intervals, compositions, sets of keywords, temporal quantities, etc. Standard network description formats do not support such kinds of networks. 
We propose a JSON based format NetsJSON as a general network description option. It is supported in Python by a network analysis library Nets. The NetsJSON descriptions can be used as input data for network visualizations based on D3.js.

REFERENCES:
[1] Batagelj, V.: Python Packages for Networks. Encyclopedia of Social Network Analysis and
    Mining. Reda Alhajj, Jon Rokne (Eds.), Springer, 2017
    https://link.springer.com/referenceworkentry/10.1007%2F978-1-4614-7163-9_110210-1
[2] Batagelj, V., Maltseva, D.: Temporal bibliographic networks. Journal of Informetrics,
    14(2020)1, 101006. https://www.sciencedirect.com/science/article/pii/S1751157719301439
[3] Batagelj, V.: Nets. https://github.com/bavla/Nets
[4] Batagelj, V.: NetsJSON. https://github.com/bavla/netsJSON

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The seminar will be held in English through the videoconferencing tool Zoom.
This seminar is the follow-up of the seminar given on the 6th of April 2020.
You can connect to the seminar using the following link:

https://zoom.us/j/297328207

You are very welcome!