#CausaIschgl, Twitter, 5/27/2020 4:25:56 PM, 228375


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#CausaIschgl Twitter NodeXL SNA Map and Report for Wednesday, 27 May 2020 at 16:23 UTC
#CausaIschgl Twitter NodeXL SNA Map and Report for Wednesday, 27 May 2020 at 16:23 UTC
From:
Nodexplorer
Uploaded on:
May 27, 2020
Short Description:
#CausaIschgl via NodeXL https://bit.ly/36BJ22W
@cczielinski
@hanslak
@gast5502
@zackzackzack4
@postnormalera
@mymission2030
@profilonline
@winter_jakob
@t_moonshine
@greenstorm2030

Top hashtags:
#causaischgl
#ischgl
#platter
#tirol
#kurz
#tilg
#hörl
#transparenz

Description:
Description
The graph represents a network of 79 Twitter users whose recent tweets contained "#CausaIschgl", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 27 May 2020 at 16:23 UTC.

The tweets in the network were tweeted over the 7-day, 20-hour, 15-minute period from Tuesday, 19 May 2020 at 17:59 UTC to Wednesday, 27 May 2020 at 14:15 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

The graph is directed.

The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.


Overall Graph Metrics
Vertices : 79
Unique Edges : 188
Edges With Duplicates : 111
Total Edges : 299
Number of Edge Types : 5
Replies to : 51
Mentions : 62
MentionsInRetweet : 88
Retweet : 91
Tweet : 7
Self-Loops : 8
Reciprocated Vertex Pair Ratio : 0.0372093023255814
Reciprocated Edge Ratio : 0.0717488789237668
Connected Components : 3
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 73
Maximum Edges in a Connected Component : 294
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.62479
Graph Density : 0.0361895488477767
Modularity : 0.409145
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 79 Twitter users whose recent tweets contained "#CausaIschgl", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 27 May 2020 at 16:23 UTC.

The tweets in the network were tweeted over the 7-day, 20-hour, 15-minute period from Tuesday, 19 May 2020 at 17:59 UTC to Wednesday, 27 May 2020 at 14:15 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : #CausaIschgl
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Followers

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[8] https://www.profil.at/oesterreich/causa-ischgl-namen-islaender-11485354
[1] https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=228287
[1] https://twitter.com/lesart_/status/1263929260454096896
[1] https://apps.derstandard.at/privacywall/story/2000117642228/gesundheitsministerium-alle-relevanten-informationen-an-tirol-uebermittelt
[1] https://twitter.com/fragdenstaat/status/1263164441824243715
[1] https://amp.theguardian.com/world/2020/may/20/top-eu-doctor-europe-should-brace-itself-for-second-wave-of-coronavirus
[1] https://apps.derstandard.at/privacywall/story/2000117613538/im-kitzloch-hatten-mehrere-mitarbeiter-schon-im-februar-grippeaehnliche-symptome?ref=article
[1] https://www.profil.at/oesterreich/causa-ischgl-tiroler-behoerden-erlass-gesundheitsministerium-11478893
[1] https://www.semiosis.at/2020/05/19/auf-der-schwarzen-liste-in-ischgl/
[1] https://twitter.com/KolbaPeter/status/1262562442967687168

Top URLs in Tweet in G1:
[1] https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=228287
[1] https://twitter.com/teresaeder/status/1262454560318251008
[1] https://twitter.com/KolbaPeter/status/1262562442967687168
[1] https://apps.derstandard.at/privacywall/story/2000117642228/gesundheitsministerium-alle-relevanten-informationen-an-tirol-uebermittelt
[1] https://twitter.com/fragdenstaat/status/1263164441824243715
[1] https://www.semiosis.at/2020/05/19/auf-der-schwarzen-liste-in-ischgl/

Top URLs in Tweet in G2:
[1] https://twitter.com/lesart_/status/1263929260454096896

Top URLs in Tweet in G3:
[1] https://tirol.orf.at/stories/3049684/
[1] https://amp.theguardian.com/world/2020/may/20/top-eu-doctor-europe-should-brace-itself-for-second-wave-of-coronavirus
[1] https://apps.derstandard.at/privacywall/story/2000117613538/im-kitzloch-hatten-mehrere-mitarbeiter-schon-im-februar-grippeaehnliche-symptome?ref=article

Top URLs in Tweet in G4:
[7] https://www.profil.at/oesterreich/causa-ischgl-namen-islaender-11485354

Top URLs in Tweet in G5:
[1] https://www.profil.at/oesterreich/causa-ischgl-tiroler-behoerden-erlass-gesundheitsministerium-11478893

Top URLs in Tweet in G6:
[1] https://www.profil.at/oesterreich/causa-ischgl-namen-islaender-11485354

Top Domains
Top Domains in Tweet in Entire Graph:
[9] profil.at
[4] twitter.com
[2] derstandard.at
[1] nodexlgraphgallery.org
[1] theguardian.com
[1] semiosis.at
[1] orf.at

Top Domains in Tweet in G1:
[3] twitter.com
[1] nodexlgraphgallery.org
[1] derstandard.at
[1] semiosis.at

Top Domains in Tweet in G2:
[1] twitter.com

Top Domains in Tweet in G3:
[1] orf.at
[1] theguardian.com
[1] derstandard.at

Top Domains in Tweet in G4:
[7] profil.at

Top Domains in Tweet in G5:
[1] profil.at

Top Domains in Tweet in G6:
[1] profil.at

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[76] causaischgl
[28] ischgl
[16] platter
[14] tirol
[12] kurz
[10] tilg
[9] hörl
[9] transparenz
[9] coronahilfe
[9] tiroler



Top Hashtags in Tweet in G1:
[39] causaischgl
[24] ischgl
[11] tirol
[10] platter
[8] transparenz
[8] coronahilfe
[7] kurz
[5] tiroler
[5] tilg
[5] övp

Top Hashtags in Tweet in G2:
[25] causaischgl

Top Hashtags in Tweet in G3:
[8] causaischgl
[6] platter
[5] kurz
[5] hörl
[5] tilg
[4] tiroler
[3] ischgl
[1] övp
[1] tirol
[1] transparenz

Top Hashtags in Tweet in G4:
[2] causaischgl
[1] ischgl

Top Hashtags in Tweet in G5:
[4] intirol
[1] covid__19
[1] tirol
[1] causaischgl
[1] ischglgate

Top Hashtags in Tweet in G6:
[1] island
[1] causaischgl
[1] covidー19
[1] tirol
[1] intirol

Top Words
Top Words in Tweet in Entire Graph:
[] Top Word Pairs in Tweet in Entire Graph
[] Entire Graph Count
[] Top Word Pairs in Tweet in G1

Top Words in Tweet in G1:
[54] #causaischgl
[27] #ischgl
[26] sich
[19] #platter
[17] noch
[16] wird
[16] #kurz
[16] #tilg
[15] #tirol
[15] kann

Top Words in Tweet in G2:
[50] oder
[50] dem
[25] wissen
[25] ob
[25] reaktionen
[25] herrschaften
[25] #causaischgl
[25] ebenso
[25] entschlossen
[25] waren

Top Words in Tweet in G3:
[14] #causaischgl
[14] sich
[10] #platter
[9] #kurz
[9] #hörl
[9] #tilg
[8] kolbapeter
[8] wird
[7] #tirol
[6] man

Top Words in Tweet in G4:
[8] #causaischgl
[8] aus
[7] causa
[7] ischgl
[7] erst
[7] abend
[7] des
[7] 5
[7] märz
[7] suchte

Top Words in Tweet in G5:
[4] behördenversagen
[4] #intirol
[4] wird
[4] immer
[4] noch
[4] deutlicher
[4] buchstäblich
[4] home
[4] wahnsinn
[4] hier

Top Word Pairs
Top Word Pairs in Tweet in G2:
[14] wissen,ob
[14] ob,reaktionen
[13] reaktionen,herrschaften
[8] herrschaften,#causaischgl
[8] #causaischgl,ebenso
[8] ebenso,entschlossen
[8] entschlossen,waren
[8] waren,oder
[8] oder,vielleicht
[7] vielleicht,sogar

Top Word Pairs in Tweet in G3:
[25] #kurz,#platter
[25] #platter,#hörl
[25] #hörl,#tilg
[25] alles,richtig
[25] richtig,gemacht
[25] #övp,skandal
[25] da,freuen
[25] freuen,sich
[25] sich,#tiroler
[25] #tiroler,free

Top Word Pairs in Tweet in G4:
[9] causa,ischgl
[9] ischgl,erst
[9] erst,abend
[6] abend,des
[6] des,5
[5] 5,märz
[4] märz,suchte
[4] suchte,österreich
[4] österreich,genauen
[4] genauen,kontaktdaten

Top Word Pairs in Tweet in G5:
[7] behördenversagen,#intirol
[7] #intirol,wird
[7] wird,immer
[7] immer,noch
[7] noch,deutlicher
[7] deutlicher,buchstäblich
[7] buchstäblich,home
[7] home,wahnsinn
[7] wahnsinn,hier
[7] hier,tiroler

Top Word Pairs in Tweet in G6:

Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@kolbapeter
@mymission2030
@semiosisblog
@lightcurves
@gruene_austria
@anschober
@t_moonshine
@winter_jakob
@volkspartei
@neos_eu

Top Mentioned in G1:
@mymission2030
@semiosisblog
@lightcurves
@gruene_austria
@kolbapeter
@anschober
@volkspartei
@neos_eu
@spoe_at
@greenstorm2030

Top Mentioned in G3:
@kolbapeter
@diepressecom
@derstandardat
@josef_broukal
@semiosisblog
@lightcurves
@gruene_austria
@anschober

Top Mentioned in G4:
@t_moonshine
@winter_jakob

Top Mentioned in G6:
@skolland

Top Tweeters
Top Tweeters in Entire Graph:
@michael_kunz
@diepressecom
@hanslak
@derstandardat
@postnormalera
@creation_2011
@kreisnagel
@gudrungiebels
@heigion
@at_oesi

Top Tweeters in G1:
@michael_kunz
@hanslak
@postnormalera
@exitoilexitoel
@greenstorm2030
@pflab
@mymission2030
@neos_eu
@bakhall
@glesi6

Top Tweeters in G2:
@creation_2011
@heigion
@at_oesi
@yvebiskupska
@paedar_1958
@nowzeitspur
@theres34126641
@gabrielefritz3
@odaschwehla
@villacoconvenio

Top Tweeters in G3:
@diepressecom
@derstandardat
@gudrungiebels
@grafkaroly
@zackzackzack4
@kolbapeter
@naapi
@tatianafuchs1
@susanneschnabl
@peterplaikner

Top Tweeters in G4:
@gast5502
@raphstar
@rabemanimanuela
@profilonline
@joachimkovacs
@philipdulle
@ruegertill
@winter_jakob
@t_moonshine

Top Tweeters in G5:
@kreisnagel
@merkstatt
@vdb_psychologie
@gdornauer

Top Tweeters in G6:
@marco_neher
@skolland


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