The graph represents a network of 8,651 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 Tuesday, 17 November 2020 at 02:15 UTC.
The requested start date was Monday, 16 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 4-day, 23-hour, 34-minute period from Monday, 09 November 2020 at 05:17 UTC to Saturday, 14 November 2020 at 04:51 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 : 8651
Unique Edges : 5302
Edges With Duplicates : 10094
Total Edges : 15396
Number of Edge Types : 5
Tweet : 1853
Retweet : 4166
MentionsInRetweet : 5314
Mentions : 2784
Replies to : 1279
Self-Loops : 1929
Reciprocated Vertex Pair Ratio : 0.0230602930578909
Reciprocated Edge Ratio : 0.0450810049307349
Connected Components : 1961
Single-Vertex Connected Components : 831
Maximum Vertices in a Connected Component : 2173
Maximum Edges in a Connected Component : 5069
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 9.745548
Graph Density : 0.000113829601709983
Modularity : 0.574316
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 8,651 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 Tuesday, 17 November 2020 at 02:15 UTC.
The requested start date was Monday, 16 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 4-day, 23-hour, 34-minute period from Monday, 09 November 2020 at 05:17 UTC to Saturday, 14 November 2020 at 04:51 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:
[4113] hiv,aids [395] work,hiv [385] still,find [385] mind,boggling [384] find,amusing [384] amusing,mind [384] boggling,birx [384] birx,fauci's [384] fauci's,cited [384] cited,accomplishment Top Word Pairs in Tweet in G1:
[625] hiv,aids [73] aids,hiv [47] #hiv,#aids [42] covid,19 [27] living,hiv [22] aids,day [21] world,aids [17] std,hiv [15] learn,more [14] aids,single Top Word Pairs in Tweet in G2:
[438] hiv,aids [384] still,find [384] find,amusing [384] amusing,mind [384] mind,boggling [384] boggling,birx [384] birx,fauci's [384] fauci's,cited [384] cited,accomplishment [384] accomplishment,work Top Word Pairs in Tweet in G3:
[110] hiv,aids [64] #hiv,infection [64] men,boys [63] adolescent,women [63] women,young [63] young,girls [63] girls,africa [63] africa,four [63] four,five [63] five,times Top Word Pairs in Tweet in G4:
[57] hiv,aids [54] aids,day [53] world,aids [27] dave,chappelle [27] chappelle,mocks [27] mocks,donald [27] donald,trump [27] trump,hurtful [27] hurtful,jokes [27] jokes,aids Top Word Pairs in Tweet in G5:
[245] hiv,aids [244] first,symptom [244] symptom,hiv [244] aids,''refusing [244] ''refusing,tested'' [244] tested'',pass [243] first_alphas,first Top Word Pairs in Tweet in G6:
[237] hiv,aids [230] please,share [230] share,retweet [230] retweet,hiv [230] aids,awareness [230] awareness,101 [230] 101,#beinformed [230] #beinformed,#protectandloveyourself [230] #protectandloveyourself,#gettested [230] #gettested,#beanadvocate Top Word Pairs in Tweet in G7:
[313] hiv,aids [49] episode,podcast [38] listen,recent [38] recent,episode [34] south,africa [28] immune,system [21] living,hiv [20] podcast,hiv [19] virus,attacks [19] people,living Top Word Pairs in Tweet in G8:
[13] remember,well [13] well,worked [13] worked,nurse [13] nurse,specialist [13] specialist,hiv [13] hiv,death [13] death,prescription [13] prescription,book [13] book,john [13] 100,things Top Word Pairs in Tweet in G9:
[133] hiv,aids [131] use,condoms [131] condoms,abstain [131] abstain,still [131] still,stis [131] stis,hiv [131] aids,getting [131] getting,comfortable [131] comfortable,pay [131] pay,lives Top Word Pairs in Tweet in G10:
[345] 40,jahre [115] jahre,aids [115] aids,40 [115] jahre,hiv [115] hiv,40 [115] jahre,kein [115] kein,impfstoff [115] impfstoff,jahr [115] jahr,covid [115] covid,19 Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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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:
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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:
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Top Tweeters in G3:
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Top Tweeters in G9:
Top Tweeters in G10: