The graph represents a network of 8,797 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 October 2021 at 02:00 UTC.
The requested start date was Monday, 04 October 2021 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, 4-hour, 23-minute period from Wednesday, 29 September 2021 at 07:39 UTC to Sunday, 03 October 2021 at 12:03 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 : 8797
Unique Edges : 4225
Edges With Duplicates : 12032
Total Edges : 16257
Number of Edge Types : 5
Retweet : 5405
MentionsInRetweet : 6469
Tweet : 1290
Replies to : 775
Mentions : 2318
Self-Loops : 1356
Reciprocated Vertex Pair Ratio : 0.0126510143606109
Reciprocated Edge Ratio : 0.0249859313449634
Connected Components : 1476
Single-Vertex Connected Components : 565
Maximum Vertices in a Connected Component : 3339
Maximum Edges in a Connected Component : 7404
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.879559
Graph Density : 0.000114825308123408
Modularity : 0.558616
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,797 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 October 2021 at 02:00 UTC.
The requested start date was Monday, 04 October 2021 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, 4-hour, 23-minute period from Wednesday, 29 September 2021 at 07:39 UTC to Sunday, 03 October 2021 at 12:03 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:
[4541] hiv,aids [2109] 700,000 [1070] died,hiv [1056] people,died [1055] aids,one [1050] 000,people [1047] around,700 [1047] year,half [1047] over,700 [1046] four,decades Top Word Pairs in Tweet in G1:
[2074] 700,000 [1050] hiv,aids [1037] four,decades [1037] decades,around [1037] around,700 [1037] 000,people [1037] people,died [1037] died,hiv [1037] aids,one [1037] one,year Top Word Pairs in Tweet in G2:
[446] hiv,aids [48] aids,hiv [30] covid,19 [29] #hiv,#aids [21] living,hiv [20] against,hiv [20] aids,patients [14] aids,commission [12] akwa,ibom [12] ibom,assembly Top Word Pairs in Tweet in G3:
[436] hiv,aids [421] fight,hiv [420] together,fight [419] mckatsug,together [8] test,hiv [8] aids,month [7] theevirgingirl,test [6] lot,achieved [5] each,responsibility [5] responsibility,spread Top Word Pairs in Tweet in G4:
[371] aids,commission [347] ghana,aids [237] source,ghana [229] 000,young [229] young,ghanaians [229] 15,24 [229] 24,hiv [229] hiv,10 [229] 10,females [229] females,source Top Word Pairs in Tweet in G5:
[118] hiv,aids [28] 40,respuesta [28] respuesta,sida [28] sida,cronología [28] cronología,unaids [28] unaids,fechas [28] fechas,clave [28] clave,historia [28] historia,#40añosvih [28] #40añosvih,#onusida Top Word Pairs in Tweet in G6:
[282] introducing,park [282] park,jimin [282] jimin,birthday [282] birthday,project [282] project,2021 [282] 2021,#jiminwithdawn [282] #jiminwithdawn,fundraiser [282] fundraiser,children [282] children,dawn [282] dawn,join Top Word Pairs in Tweet in G7:
[250] hiv,aids [215] genuinely,think [215] think,shadow [215] shadow,cast [215] cast,hiv [215] aids,epidemic [215] epidemic,america [215] america,looms [215] looms,large [215] large,whole Top Word Pairs in Tweet in G8:
[187] yakin,hiv [187] hiv,takde [187] takde,penawar [187] penawar,sebab [187] sebab,hiv [187] hiv,satu [187] satu,bentuk [187] bentuk,hukuman [187] hukuman,20 [187] 20,30 Top Word Pairs in Tweet in G9:
[25] end,cases [22] cases,hiv [21] end,hiv [21] hiv,2030 [17] hiv,aids [16] sexual,health [16] hiv,epidemic [16] epidemic,2030 [15] re,partnering [15] partnering,nat_aids_trust Top Word Pairs in Tweet in G10:
[175] hiv,aids [175] aids,punishment [175] punishment,promiscuity [175] promiscuity,hope [175] hope,stop [175] stop,talking [174] mpumngwenya,hiv Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: