The graph represents a network of 8,554 Twitter users whose tweets in the requested range contained "HIV AIDS", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 04 April 2022 at 02:00 UTC.
The requested start date was Monday, 04 April 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 4-day, 14-hour, 4-minute period from Tuesday, 29 March 2022 at 22:02 UTC to Sunday, 03 April 2022 at 12:06 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 : 8554
Unique Edges : 4594
Edges With Duplicates : 11568
Total Edges : 16162
Number of Edge Types : 5
Retweet : 5124
MentionsInRetweet : 6346
Replies to : 930
Mentions : 2315
Tweet : 1447
Self-Loops : 1513
Reciprocated Vertex Pair Ratio : 0.0130282089044976
Reciprocated Edge Ratio : 0.0257213151420264
Connected Components : 1515
Single-Vertex Connected Components : 649
Maximum Vertices in a Connected Component : 3631
Maximum Edges in a Connected Component : 8522
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 8.14944
Graph Density : 0.000122221313740527
Modularity : 0.564988
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,554 Twitter users whose tweets in the requested range contained "HIV AIDS", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 04 April 2022 at 02:00 UTC.
The requested start date was Monday, 04 April 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 4-day, 14-hour, 4-minute period from Tuesday, 29 March 2022 at 22:02 UTC to Sunday, 03 April 2022 at 12:06 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 : GraphServerTwitterSearch
Graph Term : HIV AIDS
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:
[3811] hiv,aids [1047] baby,registry [920] lil,nas [767] aids,organizations [750] nas,baby [511] 500,000 [443] luc,montagnier [438] professor,luc [437] montagnier,dead [437] dead,shortly Top Word Pairs in Tweet in G1:
[488] hiv,aids [53] aids,hiv [35] #hiv,#aids [27] living,hiv [20] hiv,エイズ [18] covid,19 [16] #aids,#hiv [15] view,article [12] aids,awareness [12] people,living Top Word Pairs in Tweet in G2:
[404] professor,luc [404] luc,montagnier [404] montagnier,dead [404] dead,shortly [404] shortly,appearance [404] appearance,nobel [404] nobel,laureate [404] laureate,virologist [404] virologist,considered [404] considered,foremost Top Word Pairs in Tweet in G3:
[383] hiv,aids [382] baby,registry [381] lil,nas [378] nas,baby [378] registry,raised [378] raised,approx [378] approx,half [378] half,million [378] million,dollars [378] dollars,hiv Top Word Pairs in Tweet in G4:
[338] 多くのaids研究者が突然,謎の死を遂げている [337] がんを乗り越えて,mrna注射が世界中でhiv [333] mrna注射が世界中でhiv,aidsを復活させている一方で [333] aidsを復活させている一方で,多くのaids研究者が突然 [332] 謎の死を遂げている,covidblog [317] covidblog,１ [306] kuu331108,がんを乗り越えて [25] さてはてメモ帳,imagine [25] imagine,think [23] 後天性免疫不全症候群,acquired Top Word Pairs in Tweet in G5:
[349] lil,nas [348] hiv,aids [347] baby,registry [346] aids,organizations [344] nas,baby [344] 500,000 [342] 000,hiv [340] registry,montero [340] montero,raised [340] raised,500 Top Word Pairs in Tweet in G6:
[54] hiv,aids [24] party,parliamentary [18] parliamentary,group [17] executive,director [15] part,#aids2022 [13] winnie_byanyima,martinchungong [13] general,ipuparliament [13] ipuparliament,delighted [13] delighted,co [13] co,host Top Word Pairs in Tweet in G7:
[300] baby,registry [183] hiv,aids [162] lil,nas [150] lilnasx,baby [150] nearly,500k [150] charities,aimed [150] aimed,stopping [150] stopping,hiv [150] aids,epidemic [148] nas,raised Top Word Pairs in Tweet in G8:
[268] hiv,aids [267] aids,education [267] education,secondary [267] secondary,school [267] school,basically [267] basically,teachers [267] teachers,slut [267] slut,shaming [267] shaming,students [267] students,telling Top Word Pairs in Tweet in G9:
[46] #vaids,vaccine [46] acquired,immunodeficiency [46] immunodeficiency,syndrome [45] updated,super [45] super,thread [45] thread,#vaids [45] vaccine,acquired [45] syndrome,feb [45] feb,2020 [45] 2020,#indian Top Word Pairs in Tweet in G10:
[138] hiv,aids [121] panic,globalists [121] globalists,attempt [120] please,panic [120] attempt,hiv [120] aids,crisis [120] crisis,globalists [120] globalists,banking [120] banking,stigma [119] liz_churchill_,please 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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Top Tweeters in G10: