The graph represents a network of 9,184 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, 10 August 2020 at 01:12 UTC.
The requested start date was Monday, 10 August 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 5-day, 7-hour, 52-minute period from Tuesday, 04 August 2020 at 05:49 UTC to Sunday, 09 August 2020 at 13:41 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 : 9184
Unique Edges : 5034
Edges With Duplicates : 10924
Total Edges : 15958
Number of Edge Types : 5
Retweet : 4930
MentionsInRetweet : 5965
Tweet : 1509
Replies to : 999
Mentions : 2555
Self-Loops : 1576
Reciprocated Vertex Pair Ratio : 0.0153828879407141
Reciprocated Edge Ratio : 0.0302996793099635
Connected Components : 1705
Single-Vertex Connected Components : 681
Maximum Vertices in a Connected Component : 1342
Maximum Edges in a Connected Component : 3275
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 4.424535
Graph Density : 0.000107225004088376
Modularity : 0.583102
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 9,184 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, 10 August 2020 at 01:12 UTC.
The requested start date was Monday, 10 August 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 5-day, 7-hour, 52-minute period from Tuesday, 04 August 2020 at 05:49 UTC to Sunday, 09 August 2020 at 13:41 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:
[2960] hiv,aids [640] aids,herpes [636] herpes,chlamydia [636] high,having [636] having,hoes [636] hoes,side [636] side,pieces [636] pieces,unprotected [635] hpv,aids [634] hiv,hpv Top Word Pairs in Tweet in G1:
[482] hiv,aids [114] î,î [72] æ,ÿæÿ [65] ãƒ,ム[52] covid,19 [50] aids,hiv [38] #hiv,#aids [36] aids,epidemic [34] survivors,see [34] see,similarities Top Word Pairs in Tweet in G2:
[615] hiv,hpv [615] hpv,aids [615] aids,herpes [615] herpes,chlamydia [615] chlamydia,rate [615] rate,way [615] way,damn [615] damn,high [615] high,having [615] having,hoes Top Word Pairs in Tweet in G3:
[393] internet,story [393] story,top [393] top,fanfiction [393] fanfiction,author [393] author,posed [393] posed,hiv [393] hiv,positive [393] positive,chinese [393] chinese,pakistani [393] pakistani,sex Top Word Pairs in Tweet in G4:
[136] 12,million [102] cause,death [97] aids,related [97] related,deaths [95] living,hiv [91] hiv,treatment [72] million,people [71] people,living [68] increased,access [68] access,hiv Top Word Pairs in Tweet in G5:
[324] hiv,aids [309] org,yg [306] thread,informasi [306] informasi,dasar [306] dasar,hiv [306] aids,disclaimer [306] disclaimer,baca [306] baca,thread [306] thread,ini [306] ini,harus Top Word Pairs in Tweet in G6:
[193] read,rewteet [193] rewteet,one [193] one,articles [193] articles,one [193] one,horrifying [193] horrifying,pandemic [193] pandemic,#tuberculosis [192] apoorva_nyc,read [192] #tuberculosis,#hivâ [41] piece,apoorva_nyc Top Word Pairs in Tweet in G7:
[293] única,epidemia [293] epidemia,matou [293] matou,mais [293] mais,gente [293] gente,covid [293] covid,brasil [293] brasil,foi [293] foi,hiv [293] hiv,352 [293] 352,mil Top Word Pairs in Tweet in G8:
[58] hiv,aids [26] aids,hiv [11] žðÿ,ž [9] ing,aids [8] die,ing [7] dr,fauci [6] covid,19 [6] aids,research [5] mmpadellan,realdonaldtrump [5] exclusive,top Top Word Pairs in Tweet in G9:
[73] gesida,daig [73] daig,polish [73] polish,scientific [73] scientific,aids [73] aids,society [70] covid,19 [57] eacsociety,gesida [53] 19,hiv [52] hiv,statement [52] statement,together Top Word Pairs in Tweet in G10:
[7] hiv,aids [3] alexbellesme,krebiozen [3] krebiozen,cuspenamente [3] cuspenamente,golfergirl2018 [3] golfergirl2018,risettemd [3] risettemd,mikeblackmon1 [2] macbaird13,thetwistedfay [2] thetwistedfay,gorfram [2] gorfram,katlarue7 [2] katlarue7,haircutspock Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: