The graph represents a network of 8,108 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, 15 August 2022 at 02:24 UTC.
The requested start date was Monday, 15 August 2022 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 4-day, 16-hour, 20-minute period from Tuesday, 09 August 2022 at 19:46 UTC to Sunday, 14 August 2022 at 12:07 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 : 8108
Unique Edges : 5345
Edges With Duplicates : 10828
Total Edges : 16173
Number of Edge Types : 5
Retweet : 4720
MentionsInRetweet : 5871
Mentions : 3136
Tweet : 1591
Replies to : 855
Self-Loops : 1667
Reciprocated Vertex Pair Ratio : 0.0144556877571444
Reciprocated Edge Ratio : 0.0284993971281377
Connected Components : 1405
Single-Vertex Connected Components : 539
Maximum Vertices in a Connected Component : 2427
Maximum Edges in a Connected Component : 7036
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.645324
Graph Density : 0.000138791785181534
Modularity : 0.558588
NodeXL Version : 1.0.1.502
Data Import : The graph represents a network of 8,108 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, 15 August 2022 at 02:24 UTC.
The requested start date was Monday, 15 August 2022 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 4-day, 16-hour, 20-minute period from Tuesday, 09 August 2022 at 19:46 UTC to Sunday, 14 August 2022 at 12:07 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:
[3084] hiv,aids [1199] leading,causes [1199] causes,death [1193] death,2020 [1193] hunger,10 [1193] 10,492 [1193] 492,898 [1193] 898,cancer [1192] cancer,705 [1192] 705,454 Top Word Pairs in Tweet in G1:
[1075] leading,causes [1075] causes,death [1075] death,2020 [1075] 2020,hunger [1075] hunger,10 [1075] 10,492 [1075] 492,898 [1075] 898,cancer [1075] cancer,705 [1075] 705,454 Top Word Pairs in Tweet in G2:
[260] acquired,hiv [260] 2021,read [249] girl,young [249] young,woman [249] minutes,2021 [247] adolescent,girl [247] woman,acquired [247] hiv,two [247] two,minutes [247] read,devastating Top Word Pairs in Tweet in G3:
[470] hiv,aids [39] aids,hiv [25] date,positive [25] positive,std [25] std,hiv [25] aids,single [25] unitwo,hiv [21] covid,19 [13] aids,epidemic [12] public,health Top Word Pairs in Tweet in G4:
[145] #hiv,#aids [120] hiv,aids [51] fighting,stigma [28] global,guidelines [28] guidelines,hiv [28] hiv,hepatitis [28] hepatitis,stis [28] stis,those [28] those,affected [28] affected,#aids Top Word Pairs in Tweet in G5:
[313] justintrudeau,cafreeland [313] cafreeland,harjitsajjan [313] pandemic,set [313] set,back [313] back,years [313] years,progress [313] progress,fight [313] fight,against [313] against,hiv [311] harjitsajjan,covid Top Word Pairs in Tweet in G6:
[172] hiv,aids [169] 600,tysięcy [169] tysięcy,ukraińców [169] ukraińców,jest [169] jest,nosicielami [169] nosicielami,hiv [169] aids,są [169] są,zwolnieni [169] zwolnieni,ze [169] ze,służby Top Word Pairs in Tweet in G7:
[72] hiv,aids [29] usaid,pepfar [28] aids,infection [28] infection,rate [27] sweet,news [27] news,#malawi [27] #malawi,hiv [27] rate,down [27] down,61 [27] 61,percent Top Word Pairs in Tweet in G8:
[32] today,lgbtq [32] lgbtq,history [32] history,august [32] august,13 [32] 13,1998 [32] 1998,bay [32] bay,area [32] area,reporter [32] reporter,san [32] san,francisco Top Word Pairs in Tweet in G9:
[34] hiv,aids [18] yep,lessons [18] lessons,history [18] history,took [18] took,before [18] before,people [18] people,realized [18] realized,much [18] much,money [18] money,pouring Top Word Pairs in Tweet in G10:
[96] leading,causes [96] causes,death [96] death,2020 [96] 2020,hunger [96] hunger,10 [96] 10,492 [96] 492,898 [96] 898,cancer [96] cancer,705 [96] 705,454 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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 G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: