The graph represents a network of 14,311 Twitter users whose recent tweets contained "#coronavirusde OR #covid19de OR #coronadeutschland OR #coronapandemie OR #covid19deutschland OR #coronavirusgermany", 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 Tuesday, 31 March 2020 at 08:50 UTC.
The tweets in the network were tweeted over the 1-day, 1-hour, 34-minute period from Monday, 30 March 2020 at 06:33 UTC to Tuesday, 31 March 2020 at 08:07 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.
Author Description
Vertices : 14311
Unique Edges : 19868
Edges With Duplicates : 3250
Total Edges : 23118
Number of Edge Types : 5
Tweet : 5090
Retweet : 8960
MentionsInRetweet : 5569
Replies to : 846
Mentions : 2653
Self-Loops : 5280
Reciprocated Vertex Pair Ratio : 0.00343322665114926
Reciprocated Edge Ratio : 0.00684295987009974
Connected Components : 3019
Single-Vertex Connected Components : 2155
Maximum Vertices in a Connected Component : 9364
Maximum Edges in a Connected Component : 17399
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.435448
Graph Density : 8.42031616617204E-05
Modularity : 0.703993
NodeXL Version : 1.0.1.428
Data Import : The graph represents a network of 14,311 Twitter users whose recent tweets contained "#coronavirusde OR #covid19de OR #coronadeutschland OR #coronapandemie OR #covid19deutschland OR #coronavirusgermany", 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 Tuesday, 31 March 2020 at 08:50 UTC.
The tweets in the network were tweeted over the 1-day, 1-hour, 34-minute period from Monday, 30 March 2020 at 06:33 UTC to Tuesday, 31 March 2020 at 08:07 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 : #coronavirusde OR #covid19de OR #coronadeutschland OR #coronapandemie OR #covid19deutschland OR #coronavirusgermany
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[819] #coronadeutschland,#covid_19 [713] #coronadeutschland,freiheit [687] drakonische,strafen [687] diktatur,dekret [687] wärs,#coronadeutschland [687] freiheit,schnell [687] schnell,vorbei [685] afd,gratuliert [685] gratuliert,#orban [685] #orban,sieg Top Word Pairs in Tweet in G1:
[143] #coronadeutschland,#coronakrise [119] #coronadeutschland,#covid_19 [92] #covid_19,#coronadeutschland [75] #covid19,#coronadeutschland [58] #coronadeutschland,#coronavirus [57] #coronadeutschland,#covid19 [54] #coronakrise,#coronadeutschland [49] #coronavirus,#coronadeutschland [46] #coronavirus,#covid19 [46] #covid19,#coronavirus Top Word Pairs in Tweet in G2:
[278] schutzmaske,trägt [226] #laschet,schutzmaske [225] anstatt,#orban [225] #orban,trump [225] trump,johnson [225] johnson,lästern [225] lästern,eher [225] eher,ansehen [225] ansehen,#laschet [225] trägt,genauso Top Word Pairs in Tweet in G3:
[174] deutschland,fast [174] fast,schlusslicht [174] schlusslicht,länder [174] länder,deutlich [174] deutlich,#pflegefachkräfte [174] #pflegefachkräfte,pro [174] pro,patient [174] patient,#coronakrise [174] #coronakrise,verschärft [174] verschärft,problem Top Word Pairs in Tweet in G4:
[60] #coronadeutschland,#coronavirusde [56] #covid_19,#coronadeutschland [56] folgen,#coronapandemie [55] #sozialschutzpaket,kraft [55] kraft,getreten [55] getreten,erleichtert [55] erleichtert,zugang [55] zugang,sozialer [55] sozialer,sicherung [55] sicherung,soziale Top Word Pairs in Tweet in G5:
[565] afd,gratuliert [565] gratuliert,#orban [565] #orban,sieg [565] sieg,europa [565] europa,#ungarn [565] #ungarn,ausgangsperre [565] ausgangsperre,drakonische [565] drakonische,strafen [565] strafen,parlament [565] parlament,aufgelöst Top Word Pairs in Tweet in G6:
[64] bestätigte,#coronavirus [64] #coronavirus,fälle [59] #coronadeutschland,arbeite [59] arbeite,schülerlabor [59] schülerlabor,ruht [59] ruht,anzahl [59] anzahl,laboren [59] laboren,inkl [59] inkl,ausstattung [59] ausstattung,autoklaven Top Word Pairs in Tweet in G7:
[180] dinge,#gesellschaft [180] #gesellschaft,aufmerksam [180] aufmerksam,sehen [180] sehen,bewerten [180] bewerten,konsequenzen [180] konsequenzen,versehen [180] versehen,amp [180] amp,niemals [180] niemals,vergessen [180] vergessen,gehört Top Word Pairs in Tweet in G8:
[286] frauen,nähen [286] nähen,ehrenamtlich [286] ehrenamtlich,stoffmasken [286] stoffmasken,kinderhospiz [286] kinderhospiz,therapiezentrum [286] therapiezentrum,frau [286] frau,förmlicher [286] förmlicher,zustellung [286] zustellung,abmahnung [286] abmahnung,anwaltskanzlei Top Word Pairs in Tweet in G9:
[65] #coronadeutschland,#covid_19 [57] #covid_19,#coronadeutschland [57] mut,solidarisches [57] solidarisches,murtaza [57] murtaza,gesamtes [57] gesamtes,#krankenhaus [57] #krankenhaus,team [57] team,lasst [57] lasst,sorgen [57] sorgen,#klinikpersonal Top Word Pairs in Tweet in G10:
[104] tn,#coronavirus [103] #coronavirus,#coronavirusde [84] innen,handyortung [42] #handyortung,#coronavirus [42] #coronavirus,handyortung [42] handyortung,terrorismus [42] terrorismus,handyortung [42] handyortung,organisierte [42] organisierte,kriminalität [42] kriminalität,handyortung Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: