The graph represents a network of 8,501 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, 21 June 2021 at 01:57 UTC.
The requested start date was Monday, 21 June 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 3-day, 18-hour, 6-minute period from Wednesday, 16 June 2021 at 17:59 UTC to Sunday, 20 June 2021 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 : 8501
Unique Edges : 3910
Edges With Duplicates : 11639
Total Edges : 15549
Number of Edge Types : 5
Retweet : 5318
MentionsInRetweet : 6150
Tweet : 1384
Replies to : 830
Mentions : 1867
Self-Loops : 1461
Reciprocated Vertex Pair Ratio : 0.0146609651802077
Reciprocated Edge Ratio : 0.028898254063817
Connected Components : 1481
Single-Vertex Connected Components : 660
Maximum Vertices in a Connected Component : 3780
Maximum Edges in a Connected Component : 8296
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 7.879442
Graph Density : 0.000114934575171087
Modularity : 0.550051
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 8,501 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, 21 June 2021 at 01:57 UTC.
The requested start date was Monday, 21 June 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 3-day, 18-hour, 6-minute period from Wednesday, 16 June 2021 at 17:59 UTC to Sunday, 20 June 2021 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:
[3108] hiv,aids [943] aids,hiv [825] black,gay [658] really,don [658] hiv,jokes [657] don,make [657] make,aids [657] jokes,really [657] really,messed [657] messed,really Top Word Pairs in Tweet in G1:
[488] hiv,aids [83] aids,hiv [50] covid,19 [28] north,american [25] #hiv,#aids [21] living,hiv [19] aids,survivors [19] survivors,covid [19] old,trauma [18] against,hiv Top Word Pairs in Tweet in G2:
[647] aids,hiv [647] hiv,jokes [646] really,don [646] don,make [646] make,aids [646] jokes,really [646] really,messed [646] messed,really [646] really,funny [645] joigabrielle,really Top Word Pairs in Tweet in G3:
[109] hiv,aids [68] 40,years [53] years,first [51] first,aids [51] aids,case [42] living,hiv [42] reported,hiv [34] #hiv,#aids [34] high,level [32] case,reported Top Word Pairs in Tweet in G4:
[360] hiv,aids [286] nhlanhlathembah,hiv [284] aids,good [284] good,morning [284] morning,undetectable [284] undetectable,queen [284] queen,#finewomenwithhiv [284] #finewomenwithhiv,#uequalsu [124] #finewomenwithaids,calles [124] calles,aids Top Word Pairs in Tweet in G5:
[824] black,gay [450] bai,works [413] living,hiv [412] black,aids [412] aids,institute [412] institute,founded [412] founded,black [412] gay,man [412] man,living [412] hiv,black Top Word Pairs in Tweet in G6:
[402] crazy,think [402] think,over [402] over,50 [402] 50,000 [402] 000,blood [402] blood,drives [402] drives,cancelled [402] cancelled,bc [402] bc,covid [402] covid,gay Top Word Pairs in Tweet in G7:
[182] leading,causes [182] causes,death [182] death,2020 [182] 2020,hunger [182] hunger,10 [182] 10,492 [182] 492,898 [182] 898,cancer [182] cancer,705 [182] 705,454 Top Word Pairs in Tweet in G8:
[104] hiv,aids [75] media,lie [41] know,confronted [41] confronted,idiot [41] idiot,mention [41] mention,mbeki [41] mbeki,start [41] start,talking [41] talking,hiv [41] aids,generally Top Word Pairs in Tweet in G9:
[60] hiv,aids [20] aids,program [19] ryan,white [18] white,hiv [12] midwest,syringe [12] syringe,services [12] services,program [12] program,seeks [12] seeks,community [12] community,input Top Word Pairs in Tweet in G10:
[78] hiv,aids [49] difference,between [49] between,hiv [30] hiv,virus [26] nobody,steaming [26] steaming,cures [26] cures,covid19 [26] covid19,people [26] people,steam [26] steam,open Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
Top Replied-To in G8:
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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:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: