<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<style type="text/css" style="display:none;"> P {margin-top:0;margin-bottom:0;} </style>
</head>
<body dir="ltr">
<div style="font-family: Calibri, Arial, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
Hi Christian,</div>
<div style="font-family: Calibri, Arial, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
<br>
</div>
<div style="font-family: Calibri, Arial, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
cool. Two things: since I'm late to this discussion I actually don't know where to find "RePEc Visual".</div>
<div style="font-family: Calibri, Arial, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
<br>
</div>
<div style="font-family: Calibri, Arial, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
Second, I have been working a lot with Docker lately, and have some experience by now (won the hard way, the old fashioned way). If you point me to your Git repo and/or your Docker build file, I can provide some insights/help.</div>
<div style="font-family: Calibri, Arial, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
<br>
</div>
<div style="font-family: Calibri, Arial, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
Lars<br>
</div>
<div>
<div style="font-family: Calibri, Arial, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
<br>
</div>
<div id="Signature">
<div id="divtagdefaultwrapper" dir="ltr">
<div>
<div class="BodyFragment"><font size="2">
<div class="PlainText" style="color:rgb(0,0,0); font-family:Tahoma; font-size:10pt; background-color:rgb(255,255,255)">
<font style="font-size:8pt"><span style="font-family:'Courier New'"></span></font></div>
</font>
<div class="PlainText"><font size="2"></font>
<div><font size="2"></font>
<div>-- </div>
<div>Lars Vilhuber, Economist</div>
<div>Cornell University, Executive Director, Labor Dynamics Institute</div>
<div> and ILR School - Department of Economics</div>
<div>American Economic Association - Data Editor</div>
<div>Journal of Privacy and Confidentiality - Managing Editor<br>
<br>
</div>
<div>
<div>e: lars.vilhuber@cornell.edu <br>
</div>
</div>
<div>p: <span id="gc-number-91" class="gc-cs-link" title="Call with Google Voice">
+1.607-330-5743</span> </div>
<div>v: <a href="https://cornell.zoom.us/my/larsvilhuber" class="OWAAutoLink">https://cornell.zoom.us/my/larsvilhuber</a></div>
<div>w: <a href="http://lars.vilhuber.com/" class="OWAAutoLink">http://lars.vilhuber.com/</a> <a href="http://lars.vilhuber.com/" class="OWAAutoLink"></a></div>
<div><br>
</div>
<div>
<div>
<div>Assistant: ldi@cornell.edu | <span id="gc-number-92" class="gc-cs-link" title="Call with Google Voice">+1.607-255-2744</span>
<br>
</div>
</div>
</div>
</div>
<font size="2"></font></div>
<font size="2"></font></div>
</div>
</div>
</div>
</div>
<div id="appendonsend"></div>
<hr style="display:inline-block;width:98%" tabindex="-1">
<div id="divRplyFwdMsg" dir="ltr"><font face="Calibri, sans-serif" style="font-size:11pt" color="#000000"><b>From:</b> Düben, Christian <Christian.Dueben@uni-hamburg.de><br>
<b>Sent:</b> Friday, May 29, 2020 16:12<br>
<b>To:</b> Thomas Krichel <krichel@openlib.org>; Lars Vilhuber <lars.vilhuber@cornell.edu><br>
<b>Cc:</b> CollEc Run <collec-run@lists.openlib.org><br>
<b>Subject:</b> RE: RePEc Visual</font>
<div> </div>
</div>
<div class="BodyFragment"><font size="2"><span style="font-size:11pt;">
<div class="PlainText">Dear All,<br>
<br>
<br>
Thanks again for the insightful Zoom meeting. This helped me a lot in developing a new version of CollEc. And thank you Thomas for allowing me to advance this interesting project.<br>
<br>
After spending much of this week on developing the new CollEc, it is now quasi done.
<br>
<br>
The user interface is similar to that of RePEc Visual. Users interactively navigate through the app and are presented with CollEc data through graphical output. A documentation contains variable definitions, details on the technical implementation etc. I wrote
the documentation so that someone who never heard of graph theory understands what CollEc displays.<br>
<br>
The SQL implementation and the code generating the CollEc data from RePEc Author Service inputs are also almost ready for upload.<br>
<br>
What I am still having some difficulties with is deploying apps through Docker containers. I am going to take a course on Docker this weekend and expect to deploy a test app some time next week.<br>
<br>
CollEc's server does not really have any vacant CPU capacity to test the web application. I therefore suggest to upload the test application to another server where everyone on this list can access it with a password. After this testing phase it can then be
officially released on the actual server.<br>
<br>
Feel free to share your thoughts on this.<br>
<br>
Have a nice weekend.<br>
<br>
<br>
Kind regards,<br>
Christian<br>
<br>
Christian Düben<br>
Research Associate<br>
Chair of Macroeconomics<br>
Hamburg University<br>
Von-Melle-Park 5, Room 3102<br>
20146 Hamburg<br>
Germany<br>
+49 40 42838 1898<br>
christian.dueben@uni-hamburg.de<br>
<a href="http://www.christian-dueben.com">http://www.christian-dueben.com</a><br>
<br>
<br>
-----Original Message-----<br>
From: Thomas Krichel <krichel@openlib.org> <br>
Sent: Donnerstag, 21. Mai 2020 16:03<br>
To: Düben, Christian <Christian.Dueben@uni-hamburg.de><br>
Cc: CollEc Run <collec-run@lists.openlib.org><br>
Subject: Re: RePEc Visual<br>
<br>
Düben, Christian writes<br>
<br>
> I weighted the edges between co-authors by their number of joint papers.<br>
<br>
As far a I understand we need a binary network. Otherwise can can easily<br>
be an a situation where we say that the shortest path between A and C<br>
is through B, even though A and C have written a paper together. <br>
<br>
> First, I calculated the distance matrix. Distances are measured as <br>
> the length of Dijkstra's shortest cost paths. Calculating and writing <br>
> those 2,227,084,864 cell values to disk took 4.77 minutes in a process <br>
> parallelized across 8 cores. Computing each author's closeness value <br>
> and writing it to disk took 4.27 minutes in an 8 core process. <br>
> Betweenness is quite slow in comparison.<br>
<br>
It would be many many times faster than what I do now.<br>
<br>
> See you tomorrow.<br>
<br>
Yes, 19:30 my time. <br>
<br>
-- <br>
<br>
Cheers,<br>
<br>
Thomas Krichel <a href="http://openlib.org/home/krichel">http://openlib.org/home/krichel</a><br>
skype:thomaskrichel<br>
</div>
</span></font></div>
</body>
</html>