The graph represents a network of 8,136 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, 06 June 2022 at 02:33 UTC.
The requested start date was Monday, 06 June 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 3-day, 21-hour, 47-minute period from Monday, 30 May 2022 at 14:22 UTC to Friday, 03 June 2022 at 12:09 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 : 8136
Unique Edges : 5004
Edges With Duplicates : 11685
Total Edges : 16689
Number of Edge Types : 5
Tweet : 1590
Retweet : 5065
MentionsInRetweet : 6943
Replies to : 741
Mentions : 2350
Self-Loops : 1673
Reciprocated Vertex Pair Ratio : 0.0154753952349143
Reciprocated Edge Ratio : 0.0304791141322223
Connected Components : 1522
Single-Vertex Connected Components : 674
Maximum Vertices in a Connected Component : 3572
Maximum Edges in a Connected Component : 9933
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.435958
Graph Density : 0.000137807850439275
Modularity : 0.55226
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,136 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, 06 June 2022 at 02:33 UTC.
The requested start date was Monday, 06 June 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 3-day, 21-hour, 47-minute period from Monday, 30 May 2022 at 14:22 UTC to Friday, 03 June 2022 at 12:09 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:
[4417] hiv,aids [993] ì,ì [712] nancy,reagan [661] aids,treatable [658] pearl,clutching [658] reason,hiv [657] miss,pearl [657] clutching,reason [657] treatable,chronic [657] chronic,disease Top Word Pairs in Tweet in G1:
[559] hiv,aids [196] ãƒ,ム[114] æ,ÿæÿ [93] á,á [91] ø,ø [85] ø,ù [79] æ,ç [76] ç,ç [69] ù,ø [64] ç,æ Top Word Pairs in Tweet in G2:
[640] hiv,aids [639] miss,pearl [639] pearl,clutching [639] clutching,reason [639] reason,hiv [639] aids,treatable [639] treatable,chronic [639] chronic,disease [639] disease,reason [639] reason,undetectable Top Word Pairs in Tweet in G3:
[386] hiv,aids [354] nancy,reagan [302] andrewfeinberg,flotus [293] same,nancy [290] chrishaar,andrewfeinberg [290] flotus,same [290] reagan,fought [290] fought,against [290] against,hiv [290] aids,awareness Top Word Pairs in Tweet in G4:
[152] #hiv,#aids [95] hiv,aids [83] æ,ÿæÿ [63] ÿæÿ,ç [59] #æ,æ [57] ç,ç [54] ãƒ,ム[44] #aids,#æ [43] ç,#hivboshi [42] æ,æ Top Word Pairs in Tweet in G5:
[304] hiv,aids [102] tb,malaria [93] fight,against [89] aids,tb [58] against,hiv [52] fighting,stigma [47] world,back [47] last,40 [47] 40,years [35] #tb,#malaria Top Word Pairs in Tweet in G6:
[55] hiv,aids [36] rfk,jr [34] met,rfk [18] rfk,jr's [17] youâ,ve [17] ve,met [17] jr,anti [17] anti,vaxxer [17] vaxxer,met [17] jr,hiv Top Word Pairs in Tweet in G7:
[67] hiv,aids [21] #monkeypox,world [21] world,heed [21] heed,lessons [21] lessons,hiv [21] aids,stigmatise [21] stigmatise,particular [21] particular,groups [21] groups,people [21] people,avoid Top Word Pairs in Tweet in G8:
[200] hiv,aids [187] nancy,reagan [162] reagan,hurt [162] hurt,both [162] both,lgbtq [162] lgbtq,community [162] community,black [162] black,brown [162] brown,communities [162] communities,silence Top Word Pairs in Tweet in G9:
[139] nancy,reagan [134] people,die [133] former,first [133] first,lady [133] lady,nancy [133] reagan,watched [133] watched,thousands [133] thousands,lgbtq [133] lgbtq,people [133] die,aids Top Word Pairs in Tweet in G10:
[112] hiv,aids [106] know,literally [106] literally,anything [106] anything,history [106] history,hiv [106] aids,crisis [106] crisis,know [106] know,cdc [106] cdc,zero [105] crappyfumes,know 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 G7:
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:
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: