The graph represents a network of 10,185 Twitter users whose recent tweets contained "#COVID19Aus", 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, 08 September 2021 at 07:56 UTC.
The tweets in the network were tweeted over the 3-day, 6-hour, 2-minute period from Sunday, 05 September 2021 at 01:02 UTC to Wednesday, 08 September 2021 at 07:04 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 : 10185
Unique Edges : 19981
Edges With Duplicates : 5579
Total Edges : 25560
Number of Edge Types : 5
Tweet : 3156
Retweet : 13440
MentionsInRetweet : 4863
Replies to : 1782
Mentions : 2319
Self-Loops : 3258
Reciprocated Vertex Pair Ratio : 0.00573264146281196
Reciprocated Edge Ratio : 0.0113999312073117
Connected Components : 828
Single-Vertex Connected Components : 622
Maximum Vertices in a Connected Component : 8792
Maximum Edges in a Connected Component : 23833
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.109178
Graph Density : 0.000196203310245147
Modularity : 0.537652
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 10,185 Twitter users whose recent tweets contained "#COVID19Aus", 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, 08 September 2021 at 07:56 UTC.
The tweets in the network were tweeted over the 3-day, 6-hour, 2-minute period from Sunday, 05 September 2021 at 01:02 UTC to Wednesday, 08 September 2021 at 07:04 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 : #COVID19Aus
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[3631] #covid19aus,#auspol [2013] #auspol,#covid19aus [1603] #covid19nsw,#covid19aus [1479] underlying,conditions [1244] let's,careful [1244] careful,language [1244] language,millions [1244] millions,live [1244] live,quite [1244] quite,normally Top Word Pairs in Tweet in G1:
[812] #auspol,#covid19aus [795] #covid19aus,#auspol [793] #covid19nsw,#covid19aus [356] #covid19aus,#covid19nsw [228] #covid19aus,#covid19vic [217] #auspol,#covid19nsw [211] underlying,conditions [204] #covidnsw,#covid19aus [179] #covid19nsw,#covidnsw [179] #covid19vic,#covid19aus Top Word Pairs in Tweet in G2:
[829] #covid19aus,#auspol [825] underlying,conditions [771] let's,careful [771] careful,language [771] language,millions [771] millions,live [771] live,quite [771] quite,normally [771] normally,underlying [771] conditions,used Top Word Pairs in Tweet in G3:
[497] #covid19aus,#auspol [261] #auspol,#covid19aus [224] covid,19 [215] pm,nsw [212] underlying,health [211] gladys,berejiklian [207] vaccine,doses [206] scottmorrisonmp,greghuntmp [206] having,stealthily [206] stealthily,lifted Top Word Pairs in Tweet in G4:
[287] state,premiers [280] #auspol,#covid19aus [236] #covid19,#auspol [205] premiers,gone [205] gone,'we'll [205] 'we'll,offer [205] offer,australian [205] australian,vaccine' [205] vaccine','vaccinate [205] 'vaccinate,starve Top Word Pairs in Tweet in G5:
[327] #covid19nsw,#covid19aus [290] #covid19aus,#covid19nsw [253] #auspol,#covid19aus [223] #covid19aus,#auspol [180] hospitalisation,rate [180] rate,nsw [179] hospital,home [178] many,numbers [178] numbers,swirling [178] swirling,around Top Word Pairs in Tweet in G6:
[994] #covid19aus,#auspol [833] going,start [833] start,thread [833] thread,people [833] people,#underlyinghealthcondition [833] #underlyinghealthcondition,put [833] put,human [833] human,face [833] face,those [833] those,people Top Word Pairs in Tweet in G7:
[70] #covid19nsw,#covid19aus [55] #auspol,#covid19aus [44] #covid19,#covid19aus [37] #covid19vic,#covid19aus [33] #covid19aus,#covid19nsw [32] #covid19aus,#auspol [26] #covid19aus,#covid19 [24] #covid19aus,#covid19vic [20] covid,19 [18] #covid19nsw,#covid19vic Top Word Pairs in Tweet in G8:
[618] broke,down [618] miles,miles [309] australia,media [309] media,blackout [309] blackout,change [309] change,plans [309] plans,truckers [309] truckers,broke [309] down,days [309] days,later Top Word Pairs in Tweet in G9:
[75] whilst,one [75] one,state [75] state,focussed [75] focussed,path [75] path,mess [75] mess,vaccination [75] vaccination,others [75] others,focussing [75] focussing,harder [75] harder,lockdowns Top Word Pairs in Tweet in G10:
[143] hospital,staff [143] staff,came [143] came,night [143] night,ward [143] ward,ppe [143] ppe,kit [143] kit,patient [143] patient,frightened [143] frightened,thought [143] thought,#djsbu Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G9:
Top Tweeters in G10: