The graph represents a network of 8,615 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, 24 January 2022 at 03:01 UTC.
The requested start date was Monday, 24 January 2022 at 01:01 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, 17-hour, 54-minute period from Monday, 17 January 2022 at 18:12 UTC to Friday, 21 January 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 : 8615
Unique Edges : 4057
Edges With Duplicates : 11740
Total Edges : 15797
Number of Edge Types : 5
Retweet : 5111
MentionsInRetweet : 6061
Replies to : 940
Tweet : 1372
Mentions : 2313
Self-Loops : 1415
Reciprocated Vertex Pair Ratio : 0.0140509645153608
Reciprocated Edge Ratio : 0.0277125410991076
Connected Components : 1523
Single-Vertex Connected Components : 567
Maximum Vertices in a Connected Component : 3024
Maximum Edges in a Connected Component : 6920
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.651925
Graph Density : 0.000114756026881155
Modularity : 0.548078
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,615 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, 24 January 2022 at 03:01 UTC.
The requested start date was Monday, 24 January 2022 at 01:01 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, 17-hour, 54-minute period from Monday, 17 January 2022 at 18:12 UTC to Friday, 21 January 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:
[3972] hiv,aids [1644] million,people [1626] people,died [1569] antibiotic,resistant [1474] resistant,bacterial [1471] died,2019 [1361] 2019,antibiotic [1313] bacterial,infections [1284] more,deaths [1281] deaths,hiv Top Word Pairs in Tweet in G1:
[1176] hiv,aids [1161] antibiotic,resistant [1160] resistant,bacterial [1157] million,people [1155] people,died [1153] died,2019 [1153] 2019,antibiotic [1153] bacterial,infections [1150] more,deaths [1150] deaths,hiv Top Word Pairs in Tweet in G2:
[425] hiv,aids [52] #hiv,#aids [46] aids,hiv [37] aids,malaria [27] antibiotic,resistant [25] #性感染症,#hivboshi [21] more,deaths [21] #aids,#性感染症 [20] antimicrobial,resistance [19] deaths,hiv Top Word Pairs in Tweet in G3:
[92] hiv,aids [44] #hiv,#aids [28] #aids,#uequalsu [24] think,hiv [24] hiv,parent [24] parent,cant [24] cant,hiv [24] hiv,children [24] children,think [24] think,again Top Word Pairs in Tweet in G4:
[158] testagem,aconselhamento [155] novo,cta [155] cta,belém [155] belém,espaço [155] espaço,amplo [155] amplo,laboratório [155] laboratório,consultórios [155] consultórios,salas [155] salas,testagem [155] aconselhamento,vacinação Top Word Pairs in Tweet in G5:
[181] hiv,aids [174] slim,girls [174] girls,needed [174] needed,hiv [174] aids,advertisement [128] advertisement,hit [66] hit,interested [65] ninjah__ke,slim [48] hit,intrested [47] 21stonney,slim Top Word Pairs in Tweet in G6:
[168] million,people [168] people,died [168] died,2019 [165] 2019,antibiotic [165] antibiotic,resistant [165] resistant,bacterial [151] study,oxford [151] oxford,co [151] co,authored [151] authored,paper Top Word Pairs in Tweet in G7:
[69] sars,cov [65] responded,actually [65] actually,cells [65] cells,destroyed [65] destroyed,sars [65] cov,hiv [65] hiv,heard [64] angie_rasmussen,responded [28] hiv,aids [25] hiv,causes Top Word Pairs in Tweet in G8:
[139] book,bits [139] bits,pieces [139] pieces,hon [139] hon,livingstone [139] livingstone,oo [139] oo,gunga [139] gunga,battalion [139] battalion,#nra [139] #nra,rebels [139] rebels,whose Top Word Pairs in Tweet in G9:
[80] 薬害エイズの時,hivはhtlvと同じ発症するのは少数 [80] hivはhtlvと同じ発症するのは少数,aidsを発症するのは麻薬と不摂生な生活 [80] aidsを発症するのは麻薬と不摂生な生活,という説に対しアメリカの学会などから情報を得て治験段階の加熱製剤の入手に奔走し1人でも感染者を出してはならないと手段を尽くした医師達がいました [79] uwemon,薬害エイズの時 [79] という説に対しアメリカの学会などから情報を得て治験段階の加熱製剤の入手に奔走し1人でも感染者を出してはならないと手段を尽くした医師達がいました,お互い10 [55] hiv抗体陽性はhiv感染を意味しており,自然治癒はなく [55] 自然治癒はなく,多くが感染から10年近い潜伏期間ののちにaidsを発症する [55] 多くが感染から10年近い潜伏期間ののちにaidsを発症する,という真の病態が判明するまでは [55] という真の病態が判明するまでは,かなり長い時間がかかっています [54] influenzer3,hiv抗体陽性はhiv感染を意味しており Top Word Pairs in Tweet in G10:
[10] hiv,aids [6] people,hiv [5] causes,aids [5] rw_christian,marshakimball9 [5] oceanatemyphone,groin_hammer [4] against,people [4] hiv,causes [4] mrobovsky,skepticsplinter [4] skepticsplinter,jt375043170 [3] mitongafur,born Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
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: