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Patrick,

I strongly disagree. Pajek has amazing analytical capabilities but it has
never been designed to produce *high-quality* visualizations of large
networks. I have used both Pajek and Gephi for over ten years, and I am
very familiar with the book that you mentioned. I do not believe saying
"something has reasonably good visualization" is erroneous. It would be
erroneous to say that Pajek does *not* have reasonably good visualization.
See also
https://urldefense.proofpoint.com/v2/url?u=https-3A__www.researchgate.net_post_Which-5Fopen-5Fsource-5Fsoftware-5Fis-5Fbest-5Ffor-5Fnetwork-5Fdata-5Fanalysis&d=DwIFaQ&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=rSZw2zopXe4Jlp3lIJiWCkZHZWdqbHjeAhrRtOFd0Sc&s=3ejy2Tx5QCi0cEDqWR2rJ9_B838q4Z4NeSnTuVQcQ7I&e= ,
item #5 in the first answer. As you can see, this is not just my opinion.

On Wed, Jun 12, 2019 at 5:00 PM Doreian, Patrick D <[log in to unmask]> wrote:

> Hello Everyone.
>
>                          I think claim about the diminished value of
> Pajek, as expressed in this message, is erroneous. It has outstanding
> visual capabilities. Se also de Nooy, Mrvar, Batagelj *Exploratory Social
> Network Analysis with Pajek* (Third edition) Cambridge University Pres
> for an  excellent introduction to most of its capabilities.
>
>                         Also, I am not happy about the declaration on one
> specific program being "the king of network visualization" (or queen for
> that matter). As there are different ways of thinking about visualizations
> of networks, I doubt that one one program is the best. It depends on what
> users want to do and  the 'story' that is in the data.
>
>
> with best wishes
> pat
>
> patrick doreian
> professor emeritus
> department of sociology
> 2602 WWPH
> university of pittsburgh
> pittsburgh, PA 15260
> website: https://urldefense.proofpoint.com/v2/url?u=http-3A__patrickdoreian.com&d=DwIFaQ&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=rSZw2zopXe4Jlp3lIJiWCkZHZWdqbHjeAhrRtOFd0Sc&s=qeyE9Dz8usHUqDRPvSikbll2j7W7rXIqwouceeXlRrQ&e= 
>
>
>
> ------------------------------
> *From:* Social Networks Discussion Forum <[log in to unmask]> on behalf
> of Dmitry Zinoviev <[log in to unmask]>
> *Sent:* Wednesday, June 12, 2019 3:02 PM
> *To:* [log in to unmask]
> *Subject:* Re: [SOCNET] Recommendation on SNA software that runs on Mac
> and Windows
>
> ***** To join INSNA, visit https://urldefense.proofpoint.com/v2/url?u=http-3A__www.insna.org&d=DwIFaQ&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=rSZw2zopXe4Jlp3lIJiWCkZHZWdqbHjeAhrRtOFd0Sc&s=xIEftNQt3TVUXZdb4yMKGr11hjGDBsGauRbCeS2__DE&e=  *****
> Gephi (gephi.org
> <https://urldefense.proofpoint.com/v2/url?u=http-3A__gephi.org&d=DwMFaQ&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=N7xnxC7JcvplubGvlSjiGo-RN-bnRwotqPNFHbXgKjw&s=jsitlFReKFEsDiCwBJ6degmLLziwmgLlBcWU8Ybpx8I&e=>)
> is the king of network visualization, and it also has some substantial
> support for SNA (centralities, degree distributions, clustering
> coefficient, community detection, etc.) It runs on any OS that supports
> Java.
>
> Someone already mentioned Pajek (excellent toolset, reasonabvly good
> visualization) and NetworkX (integration with Python). Incidentally, I am
> the author of the NetworkX book (see the signature), a step-by-step
> tutorial with real-life examples, including SNA exercises.
>
> --
> Dmitry Zinoviev, Professor of Computer Science, Suffolk University,
> Boston, MA 02114
> Author of "Data Science Essentials in Python" and "Complex Network
> Analysis in Python"
> https://urldefense.proofpoint.com/v2/url?u=https-3A__pragprog.com_book_dzpyds_&d=DwIFaQ&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=rSZw2zopXe4Jlp3lIJiWCkZHZWdqbHjeAhrRtOFd0Sc&s=58njOsDADhrDilnErZn9gDu29GOgNjpRu8FTFOwnRis&e= 
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__pragprog.com_book_dzpyds_data-2Dscience-2Dessentials-2Din-2Dpython&d=DwMFaQ&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=N7xnxC7JcvplubGvlSjiGo-RN-bnRwotqPNFHbXgKjw&s=xrLIDPLta-84wXfxvYOCkcjH3ZM-K6D5bpLD3mnmbwY&e=>
>  https://urldefense.proofpoint.com/v2/url?u=https-3A__pragprog.com_book_dzcnapy&d=DwIFaQ&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=rSZw2zopXe4Jlp3lIJiWCkZHZWdqbHjeAhrRtOFd0Sc&s=PfPAHcOXLAMWoEOJDyD1xnSWxUPmMQ5po0qWly1gPbo&e= 
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__pragprog.com_book_dzpyds_data-2Dscience-2Dessentials-2Din-2Dpython&d=DwMFaQ&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=N7xnxC7JcvplubGvlSjiGo-RN-bnRwotqPNFHbXgKjw&s=xrLIDPLta-84wXfxvYOCkcjH3ZM-K6D5bpLD3mnmbwY&e=>
>
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-- 
Dmitry Zinoviev, Professor of Computer Science, Suffolk University, Boston,
MA 02114
Author of "Data Science Essentials in Python" and "Complex Network Analysis
in Python"
https://urldefense.proofpoint.com/v2/url?u=https-3A__pragprog.com_book_dzpyds_&d=DwIFaQ&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=rSZw2zopXe4Jlp3lIJiWCkZHZWdqbHjeAhrRtOFd0Sc&s=58njOsDADhrDilnErZn9gDu29GOgNjpRu8FTFOwnRis&e= 
<https://urldefense.proofpoint.com/v2/url?u=https-3A__pragprog.com_book_dzpyds_data-2Dscience-2Dessentials-2Din-2Dpython&d=DwIFaQ&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=rSZw2zopXe4Jlp3lIJiWCkZHZWdqbHjeAhrRtOFd0Sc&s=SQAQVXHRycm8tyVjVu5OaASQ2Hlz5oZXZVYQI-cFixA&e= >
https://urldefense.proofpoint.com/v2/url?u=https-3A__pragprog.com_book_dzcnapy&d=DwIFaQ&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=rSZw2zopXe4Jlp3lIJiWCkZHZWdqbHjeAhrRtOFd0Sc&s=PfPAHcOXLAMWoEOJDyD1xnSWxUPmMQ5po0qWly1gPbo&e= 
<https://urldefense.proofpoint.com/v2/url?u=https-3A__pragprog.com_book_dzpyds_data-2Dscience-2Dessentials-2Din-2Dpython&d=DwIFaQ&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=rSZw2zopXe4Jlp3lIJiWCkZHZWdqbHjeAhrRtOFd0Sc&s=SQAQVXHRycm8tyVjVu5OaASQ2Hlz5oZXZVYQI-cFixA&e= >

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