The graph represents a network of 8,312 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, 28 September 2020 at 01:02 UTC.
The requested start date was Monday, 28 September 2020 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, 15-hour, 40-minute period from Tuesday, 22 September 2020 at 20:47 UTC to Saturday, 26 September 2020 at 12:27 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 : 8312
Unique Edges : 4590
Edges With Duplicates : 11189
Total Edges : 15779
Number of Edge Types : 5
Replies to : 940
Mentions : 2058
Retweet : 5118
MentionsInRetweet : 6266
Tweet : 1397
Self-Loops : 1478
Reciprocated Vertex Pair Ratio : 0.0140469847420683
Reciprocated Edge Ratio : 0.0277048005732028
Connected Components : 1544
Single-Vertex Connected Components : 577
Maximum Vertices in a Connected Component : 2388
Maximum Edges in a Connected Component : 6319
Maximum Geodesic Distance (Diameter) : 32
Average Geodesic Distance : 10.405831
Graph Density : 0.000121219960929362
Modularity : 0.549117
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 8,312 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, 28 September 2020 at 01:02 UTC.
The requested start date was Monday, 28 September 2020 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, 15-hour, 40-minute period from Tuesday, 22 September 2020 at 20:47 UTC to Saturday, 26 September 2020 at 12:27 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:
[4464] hiv,aids [758] covid,19 [483] died,covid [312] people,hiv [304] aids,program [294] whose,work [290] global,aids [288] program,pepfar [287] sponsored,reauthorization [287] reauthorization,global Top Word Pairs in Tweet in G1:
[526] hiv,aids [64] aids,awareness [59] awareness,day [56] #hiv,#aids [52] national,gay [49] aids,hiv [46] gay,men [44] men,hiv [35] day,national [28] covid,19 Top Word Pairs in Tweet in G2:
[518] hiv,aids [277] sponsored,reauthorization [277] reauthorization,global [277] global,aids [277] aids,program [277] program,pepfar [277] pepfar,significantly [277] significantly,expanded [277] expanded,funding [277] funding,targets Top Word Pairs in Tweet in G3:
[280] hiv,aids [279] dod,leak [279] leak,feds [279] feds,investigated [279] investigated,birx [279] birx,cdc [279] cdc,director [279] director,scientific [279] scientific,fraud [279] fraud,misconduct Top Word Pairs in Tweet in G4:
[281] helen,gutierrez [281] gutierrez,zwick [281] zwick,62 [281] 62,south [281] south,florida [281] florida,died [281] died,covid [281] covid,19 [281] 19,july [281] july,17 Top Word Pairs in Tweet in G5:
[273] hiv,aids [257] aids,constantemente [257] constantemente,associado [257] associado,gays [257] gays,incio [257] incio,epidemia [257] epidemia,mas [257] mas,voce [257] voce,sabia [257] sabia,os Top Word Pairs in Tweet in G6:
[125] hiv,aids [102] awareness,day [94] national,gay [88] aids,awareness [82] gay,men [76] men,hiv [24] million,people [21] globalfund,results [21] results,20 [21] 20,million Top Word Pairs in Tweet in G7:
[195] hiv,aids [192] died,covid [191] uncle,three [191] three,decade [191] decade,longterm [191] longterm,survivor [191] survivor,hiv [191] aids,died [191] covid,early [191] early,april Top Word Pairs in Tweet in G8:
[221] hiv,aids [37] those,leprosy [35] matthew,11 [35] 11,blind [35] blind,receive [35] receive,sight [35] sight,lame [35] lame,walk [35] walk,those [35] leprosy,cured Top Word Pairs in Tweet in G9:
[175] health,experts [163] hiv,aids [162] national,covid [162] covid,19 [162] 19,strategy [159] public,health [159] experts,proposed [159] proposed,national [159] strategy,based [159] based,obama Top Word Pairs in Tweet in G10:
[94] hiv,aids [89] 1980s,world [89] world,confronted [89] confronted,scary [89] scary,epidemic [89] epidemic,hiv [89] aids,covid [89] covid,19 [89] 19,quickly [88] elonbachman,1980s Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
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:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: