[Air-L] Fwd: Facebook pages and Twitter worldwide trends analytic tool

Babiga Birregah bbirregah at gmail.com
Mon Mar 16 07:55:38 PDT 2020


thanks a lot!

Le lun. 16 mars 2020 à 11:16, Alessandro Zonin <alezonin70 at gmail.com> a
écrit :

> Hi all, some more details regarding my previous post.
>
> SocioViz have a free component and a premium component.
>
> The free one allows to gather 100 posts per query, the premium one allows
> to extract up to 1.000 most recent posts and comments for Facebook and up
> to 50.000 for Twitter.
> Once registered a free account and logged in, clicking on UPGRADE MY PLAN
> you could find all details.
>
> Regards
>
>
>
> ---------- Forwarded message ---------
> Da: Alessandro Zonin <alezonin70 at gmail.com>
> Date: lun 16 mar 2020 alle ore 09:28
> Subject: Facebook pages and Twitter worldwide trends analytic tool
> To: <air-l at listserv.aoir.org>
>
>
> Hi all,
> I guess that many of you use or heard about https://socioviz.net, a tool
> to
> extract and analyze Twitter data and export networks in GEXF Gephi format.
>
> The great news is that Socioviz team have released today two new
> experimental features:
>
> 👉 *Facebook public page analytics* (search for and analyze public pages)
> 👉 *Twitter worldwide trends analytics* (selected worldwide trends
> collected and updated daily)
>
> I had the chance to beta test these new experimental features. Have a look
> it's worth it.
>
> https://socioviz.net
>
> Regards
>
> --
>
> Twitter @AlessandroZonin <https://twitter.com/AlessandroZonin>
> Blog: Social Network Analysis <https://alessandrozonin.wordpress.com/>
>
>
> --
>
> Twitter @AlessandroZonin <https://twitter.com/AlessandroZonin>
> Blog: Social Network Analysis <https://alessandrozonin.wordpress.com/>
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-- 

-- 

*Babiga BIRREGAH*, PhD

Responsable des programmes:

Mastère Spécialisé®* Expert Big Analytics et Métriques* et Diplôme
d'Université *Big Data Engineer*

Enseignant-Chercheur / Assistant Professor

Institut Charles Delaunay
Equipe Modélisation et Sûreté des Systèmes (M2S)
Département Recherche Opérationnelle, Statistiques Appliquées,
Simulation (ROSAS)

Université de Technologie de Troyes

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CS 42060 - 10004 Troyes Cedex

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