The graph represents a network of 9,237 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, 02 November 2020 at 01:11 UTC.
The requested start date was Monday, 02 November 2020 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 5-day, 10-hour, 2-minute period from Tuesday, 27 October 2020 at 02:25 UTC to Sunday, 01 November 2020 at 12:28 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 : 9237
Unique Edges : 4898
Edges With Duplicates : 10537
Total Edges : 15435
Number of Edge Types : 5
Replies to : 1171
Retweet : 4641
MentionsInRetweet : 5536
Tweet : 1573
Mentions : 2514
Self-Loops : 1648
Reciprocated Vertex Pair Ratio : 0.0168505992642696
Reciprocated Edge Ratio : 0.0331427237717353
Connected Components : 1887
Single-Vertex Connected Components : 786
Maximum Vertices in a Connected Component : 2334
Maximum Edges in a Connected Component : 5396
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.36995
Graph Density : 0.000100441982230783
Modularity : 0.57297
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 9,237 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, 02 November 2020 at 01:11 UTC.
The requested start date was Monday, 02 November 2020 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 5-day, 10-hour, 2-minute period from Tuesday, 27 October 2020 at 02:25 UTC to Sunday, 01 November 2020 at 12:28 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:
[2840] hiv,aids [1281] living,hiv [1197] people,living [1122] akwa,ibom [1092] ibom,benue [1091] number,people [1090] highest,number [1089] states,highest [1086] hiv,nigeria [1085] right,akwa Top Word Pairs in Tweet in G1:
[1082] states,highest [1081] right,akwa [1081] akwa,ibom [1081] ibom,benue [1081] benue,states [1081] highest,number [1081] number,people [1081] people,living [1081] living,hiv [1081] hiv,nigeria Top Word Pairs in Tweet in G2:
[560] hiv,aids [74] aids,hiv [72] #hiv,#aids [39] living,hiv [38] covid,19 [29] lt,lt [28] #性感染症,#hivboshi [27] #aids,#性感染症 [25] akwa,ibom [23] people,living Top Word Pairs in Tweet in G3:
[380] women,using [380] using,fraud [380] fraud,technique [380] technique,christian [380] christian,missionaries [380] missionaries,curing [380] curing,aids [380] aids,hiv [380] hiv,facebook [379] noconversion,women Top Word Pairs in Tweet in G4:
[59] hiv,aids [37] young,people [36] matovuwilliam1,hamahnsubuga [34] world,aids [34] aids,day [34] aids,related [33] related,deaths [31] hiv,treatment [30] day,close [30] close,collaboration Top Word Pairs in Tweet in G5:
[93] hiv,aids [27] year,worldwide [15] people,died [15] deaths,caused [10] aids,hepatitis [10] hepatitis,covid [9] mr,biden [9] biden,talk [9] talk,34 [9] 34,663 Top Word Pairs in Tweet in G6:
[191] tem,acesso [191] acesso,às [191] às,vacinas [191] vacinas,20 [191] 20,doenças [191] doenças,maior [191] maior,sistema [191] sistema,transplantes [191] transplantes,órgãos [191] órgãos,mundo Top Word Pairs in Tweet in G7:
[165] thank,god [165] god,trump [165] trump,president [165] president,during [165] during,aids [165] aids,epidemic [165] epidemic,pushing [165] pushing,herd [165] herd,immunity [165] immunity,plan Top Word Pairs in Tweet in G8:
[127] eu,queria [127] queria,mas [127] mas,toda [127] toda,entra [127] entra,em [127] em,debate [127] debate,vocês [127] vocês,parassem [127] parassem,usar [127] usar,só Top Word Pairs in Tweet in G9:
[119] noluthando,gcingca [119] gcingca,based [119] based,pretoria [119] pretoria,half [119] half,years [119] years,experience [119] experience,working [119] working,hiv [119] hiv,aids [119] aids,programmes Top Word Pairs in Tweet in G10:
[23] prof,ed [23] ed,tuddenham [23] tuddenham,commercial [23] commercial,interests [23] interests,outweighed [23] outweighed,patient [23] patient,safety [23] safety,government [23] government,negligent [22] factor8campaign,prof Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: