The graph represents a network of 8,771 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, 31 August 2020 at 01:14 UTC.
The requested start date was Monday, 31 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 10-day, 21-hour, 5-minute period from Wednesday, 19 August 2020 at 16:37 UTC to Sunday, 30 August 2020 at 13:42 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 : 8771
Unique Edges : 4650
Edges With Duplicates : 10915
Total Edges : 15565
Number of Edge Types : 5
Retweet : 4846
MentionsInRetweet : 5782
Mentions : 2352
Replies to : 1003
Tweet : 1582
Self-Loops : 1673
Reciprocated Vertex Pair Ratio : 0.0194673354831004
Reciprocated Edge Ratio : 0.0381911902530459
Connected Components : 1680
Single-Vertex Connected Components : 659
Maximum Vertices in a Connected Component : 1790
Maximum Edges in a Connected Component : 4373
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.524231
Graph Density : 0.000110970029641842
Modularity : 0.56295
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 8,771 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, 31 August 2020 at 01:14 UTC.
The requested start date was Monday, 31 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 10-day, 21-hour, 5-minute period from Wednesday, 19 August 2020 at 16:37 UTC to Sunday, 30 August 2020 at 13:42 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:
[4497] hiv,aids [1131] unprotected,sex [1130] high,having [1128] rate,way [1095] aids,std [1093] std,rate [1093] way,high [1093] having,side [1093] side,chicks [1093] chicks,sex Top Word Pairs in Tweet in G1:
[1088] hiv,aids [1087] aids,std [1087] std,rate [1087] rate,way [1087] way,high [1087] high,having [1087] having,side [1087] side,chicks [1087] chicks,sex [1087] sex,buddies Top Word Pairs in Tweet in G2:
[575] hiv,aids [56] covid,19 [56] #hiv,#aids [54] aids,hiv [42] awareness,day [42] aids,awareness [35] living,hiv [26] people,living [21] #性感染症,#hivboshi [20] national,faith Top Word Pairs in Tweet in G3:
[136] cause,death [129] hiv,aids [87] living,hiv [82] people,living [68] tb,leading [68] leading,infectious [68] infectious,cause [68] death,globally [68] globally,remains [68] remains,main Top Word Pairs in Tweet in G4:
[362] hiv,aids [291] awareness,day [284] aids,awareness [270] southern,hiv [109] today,southern [48] day,day [43] day,bring [43] bring,awareness [42] people,living [38] living,hiv Top Word Pairs in Tweet in G5:
[28] hiv,aids [27] during,hiv [26] karebear0517,sense [26] sense,country [26] country,come [26] come,together [26] together,fight [26] fight,pandemic [26] pandemic,front [26] front,line Top Word Pairs in Tweet in G6:
[130] costly,kemsa [130] kemsa,rot [130] rot,kemsa [130] kemsa,risks [130] risks,losing [130] losing,billions [130] billions,shillings [130] shillings,devalued [130] devalued,stocks [130] stocks,major Top Word Pairs in Tweet in G7:
[128] lose,sight [119] bill,gates [119] gates,lose [119] sight,malaria [119] malaria,during [119] during,covid [119] covid,19 [119] 19,crisis [116] crisis,#disease [116] #disease,#africa Top Word Pairs in Tweet in G8:
[118] hiv,aids [74] ukimwi,haupimwi [74] haupimwi,virusi [74] virusi,vya [74] vya,hiv [74] hiv,ndivyo [74] ndivyo,hupimwa [74] hupimwa,difference [74] difference,between [74] between,hiv Top Word Pairs in Tweet in G9:
[79] hiv,aids [72] 19,000 [68] take,note [68] note,1st [68] 1st,sept [68] sept,31st [68] 31st,oct [68] oct,2020 [68] 2020,fun [68] fun,fast Top Word Pairs in Tweet in G10:
[88] sanitary,products [85] free,condoms [79] sex,choice [75] free,sanitary [74] re,fighting [74] fighting,free [74] products,please [74] please,actually [74] actually,tear [74] tear,down Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
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: