The graph represents a network of 8,466 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, 21 September 2020 at 01:04 UTC.
The requested start date was Monday, 21 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, 14-hour, 23-minute period from Wednesday, 16 September 2020 at 22:04 UTC to Sunday, 20 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 : 8466
Unique Edges : 4193
Edges With Duplicates : 10793
Total Edges : 14986
Number of Edge Types : 5
Tweet : 1677
Replies to : 788
Mentions : 1796
Retweet : 4897
MentionsInRetweet : 5828
Self-Loops : 1740
Reciprocated Vertex Pair Ratio : 0.0141431998989771
Reciprocated Edge Ratio : 0.0278919188145934
Connected Components : 1706
Single-Vertex Connected Components : 797
Maximum Vertices in a Connected Component : 3501
Maximum Edges in a Connected Component : 7558
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 7.253012
Graph Density : 0.000112063555985521
Modularity : 0.556879
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 8,466 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, 21 September 2020 at 01:04 UTC.
The requested start date was Monday, 21 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, 14-hour, 23-minute period from Wednesday, 16 September 2020 at 22:04 UTC to Sunday, 20 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:
[4848] hiv,aids [1476] national,hiv [944] dr,redfield [944] degree,georgetown [943] redfield,medical [943] medical,degree [943] georgetown,professor [943] professor,university [940] university,maryland [893] maryland,served Top Word Pairs in Tweet in G1:
[882] dr,redfield [882] redfield,medical [882] medical,degree [882] degree,georgetown [882] georgetown,professor [882] professor,university [882] university,maryland [882] maryland,served [879] johnberman,dr [10] hiv,aids Top Word Pairs in Tweet in G2:
[750] hiv,aids [239] awareness,day [224] aids,aging [221] aging,awareness [216] national,hiv [98] today,national [82] hiv,prevention [74] people,living [62] challenges,hiv [61] day,national Top Word Pairs in Tweet in G3:
[1511] hiv,aids [743] transmission,occasion [742] know,hiv [742] aids,symptoms [742] symptoms,signs [742] signs,along [742] prevent,hiv [742] occasion,national [741] along,ways [741] ways,prevent Top Word Pairs in Tweet in G4:
[384] hiv,aids [381] #covid19,pandemic [381] pandemic,severe [381] severe,public [381] public,health [381] health,crisis [381] crisis,arguably [381] arguably,worst [381] worst,world [381] world,faced Top Word Pairs in Tweet in G5:
[326] hiv,aids [248] awareness,day [230] aids,aging [227] aging,awareness [215] national,hiv [101] today,national [59] people,living [56] san,francisco [54] living,longer [49] long,term Top Word Pairs in Tweet in G6:
[304] fezekile,kuzwayo [304] kuzwayo,born [304] born,46 [304] 46,years [304] years,ago [304] ago,today [304] sister,aunty [304] friend,activist [303] remembering,fezekile [303] today,loving Top Word Pairs in Tweet in G7:
[59] hiv,aids [56] dr,redfield [56] degree,georgetown [55] redfield,medical [55] medical,degree [55] georgetown,professor [55] professor,university [53] realdonaldtrump,dr [52] university,maryland [47] someknew,realdonaldtrump Top Word Pairs in Tweet in G8:
[24] increased,access [24] access,hiv [24] hiv,treatment [24] treatment,averted [24] averted,around [24] around,12 [24] 12,million [24] million,aids [24] aids,related [24] related,deaths Top Word Pairs in Tweet in G9:
[20] cdcdirector,gee [20] gee,bob [20] bob,remember [20] remember,worst [20] worst,thing [20] thing,banish [20] banish,hiv [20] hiv,positive [20] positive,military [20] military,members Top Word Pairs in Tweet in G10:
[119] paid,hopping [118] srk,paid [76] hopping,300 [76] 300,000 [76] 000,grace [76] grace,wedding [76] wedding,steel [76] steel,billionaire [76] billionaire,laxmi [76] laxmi,mittal's Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: