The graph represents a network of 7,575 Twitter users whose recent tweets contained ""World Health Organisation"", 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, 24 June 2020 at 06:51 UTC.
The tweets in the network were tweeted over the 8-day, 9-hour, 9-minute period from Monday, 15 June 2020 at 20:50 UTC to Wednesday, 24 June 2020 at 06:00 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.
Vertices : 7575
Unique Edges : 8294
Edges With Duplicates : 1606
Total Edges : 9900
Self-Loops : 1407
Reciprocated Vertex Pair Ratio : 0.00380952380952381
Reciprocated Edge Ratio : 0.00759013282732448
Connected Components : 1165
Single-Vertex Connected Components : 668
Maximum Vertices in a Connected Component : 4507
Maximum Edges in a Connected Component : 5771
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 6.115011
Graph Density : 0.00013778246058036
Modularity : 0.801016
NodeXL Version : 1.0.1.435
Data Import : The graph represents a network of 7,575 Twitter users whose recent tweets contained ""World Health Organisation"", 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, 24 June 2020 at 06:51 UTC.
The tweets in the network were tweeted over the 8-day, 9-hour, 9-minute period from Monday, 15 June 2020 at 20:50 UTC to Wednesday, 24 June 2020 at 06:00 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 : "World Health Organisation"
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[6621] world,health [6445] health,organisation [992] covid,19 [909] hiv,aids [902] organisation,infected [902] deaths,over [902] million,people [901] innocent,people [900] spread,far [900] far,wide Top Word Pairs in Tweet in G1:
[890] world,health [890] health,organisation [880] organisation,infected [879] hiv,aids [879] innocent,people [878] spread,far [878] far,wide [878] wide,1959 [878] 1959,world [878] infected,south Top Word Pairs in Tweet in G2:
[623] world,health [576] health,organisation [184] covid,19 [87] 19,cases [87] organisation,reports [82] record,increase [81] increase,new [78] new,covid [78] 24,hour [77] hour,period Top Word Pairs in Tweet in G3:
[557] world,health [557] health,organisation [549] follow,wives [549] wives,world [549] organisation,fails [549] fails,mention [549] mention,'goodwill [549] 'goodwill,ambassador' [549] ambassador',peng [549] peng,liyuan Top Word Pairs in Tweet in G4:
[465] world,health [446] health,organisation [152] free,wild [152] wild,polio [152] following,completion [152] completion,documentation [152] documentation,free [152] free,status [151] organisation,declared [151] declared,nigeria Top Word Pairs in Tweet in G5:
[489] world,health [486] health,organisation [470] gates,frontman [470] frontman,tedros [470] tedros,still [470] still,promoting [470] promoting,gates [470] gates,virus [470] virus,agenda [470] agenda,gates Top Word Pairs in Tweet in G6:
[210] mr,bean [210] social,distancing [188] world,health [188] health,organisation [136] #coronavirus,mr [136] bean,drafted [136] drafted,make [136] make,series [136] series,key [136] key,points Top Word Pairs in Tweet in G7:
[498] world,health [498] health,organisation [327] organisation,warning [215] mention,world [199] gordon,brewer [199] brewer,becomes [199] becomes,latest [199] latest,#colonialquay [199] #colonialquay,presenter [199] presenter,allow Top Word Pairs in Tweet in G8:
[253] world,health [253] health,organisation [149] report,world [138] abysmal,scenario [138] scenario,roads [138] roads,envisage [138] envisage,report [90] organisation,states [90] states,more [90] more,twenty Top Word Pairs in Tweet in G9:
[113] biggest,daily [113] daily,rise [113] coronavirus,cases [112] rise,coronavirus [112] cases,worldwide [112] worldwide,reported [9] half,world's [9] world's,population [9] population,exposed [9] exposed,increasing Top Word Pairs in Tweet in G10:
[133] world,health [133] health,organisation [110] one,million [74] head,world [55] took,more [55] more,three [55] three,months [55] months,world [55] infections,latest [55] latest,one Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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