The graph represents a network of 5,845 Twitter users whose recent tweets contained "HIV AIDS", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/5/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 06 February 2023 at 03:19 UTC.
The tweets in the network were tweeted over the 2256-day, 10-hour, 59-minute period from Friday, 02 December 2016 at 14:00 UTC to Monday, 06 February 2023 at 00:59 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 5845
Unique Edges : 3795
Edges With Duplicates : 9850
Total Edges : 13645
Number of Edge Types : 9
Mentions : 1081
Retweet : 3315
MentionsInRetweet : 4095
Tweet : 1006
Replies to : 1127
MentionsInReplyTo : 2733
MentionsInQuote : 135
Quote : 130
MentionsInQuoteReply : 23
Self-Loops : 1486
Reciprocated Vertex Pair Ratio : 0.028583438419504
Reciprocated Edge Ratio : 0.0555782590927667
Connected Components : 1053
Single-Vertex Connected Components : 392
Maximum Vertices in a Connected Component : 1845
Maximum Edges in a Connected Component : 5820
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.835615
Graph Density : 0.000214911918609247
Modularity : 0.540956
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,845 Twitter users whose recent tweets contained "HIV AIDS", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/5/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 06 February 2023 at 03:19 UTC.
The tweets in the network were tweeted over the 2256-day, 10-hour, 59-minute period from Friday, 02 December 2016 at 14:00 UTC to Monday, 06 February 2023 at 00:59 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[2689] hiv,aids [832] living,hiv [748] people,living [706] aids,type [706] type,diabetes [706] die,tigray [706] diabetes,tuberculosis [706] cancer,left [706] tuberculosis,cancer [706] left,die Top Word Pairs in Tweet in G1:
[284] hiv,aids [45] #hiv,#aids [44] aids,hiv [35] aids,awareness [34] black,hiv [32] national,black [31] prevent,treat [31] aids,nice [31] people,those [31] treat,hiv Top Word Pairs in Tweet in G2:
[115] hiv,aids [65] living,hiv [56] aids,children [53] children,living [45] end,aids [38] children,2030 [32] global,alliance [24] national,black [24] black,hiv [23] fighting,stigma Top Word Pairs in Tweet in G3:
[260] spike,protein [260] airborne,aids [260] sars,cov [259] actually,considered [259] aids,surprisingly [259] becuase,mere [259] cov,spike [259] surprisingly,becuase [259] considered,airborne [259] protein,actually Top Word Pairs in Tweet in G4:
[714] hiv,aids [706] left,die [706] die,tigray [706] aids,type [706] cancer,left [706] living,hiv [706] type,diabetes [706] diabetes,tuberculosis [706] people,living [706] tuberculosis,cancer Top Word Pairs in Tweet in G5:
[219] hiv,aids [210] aids,named [210] named,2nd [210] 2nd,leading [201] death,kenya [201] cause,death [201] leading,cause [200] iamjuddah,hiv [9] one,gotta [9] kenya,1st Top Word Pairs in Tweet in G6:
[30] stew,peters [30] covid19,premeditated [30] racism,covid19 [30] medical,racism [30] premeditated,murder [30] educating,medical [30] doing,job [30] peters,doing [30] murder,scheme [30] scheme,use Top Word Pairs in Tweet in G7:
[104] 40,years [104] pasteur,40 [103] years,ago [103] 1983,first [103] february,1983 [103] virus,laboratories [103] hiv,virus [103] first,snapshot [103] laboratories,institut [103] snapshot,hiv Top Word Pairs in Tweet in G8:
[113] ロシア国防省,キエフで米国資金提供のバイオラボがウクライナの軍人に対しhiv [113] キエフで米国資金提供のバイオラボがウクライナの軍人に対しhiv,aidsの研究を行なっていたとする新たな証拠を提示 [113] aidsの研究を行なっていたとする新たな証拠を提示,更にロシア軍は研究に関与した8人の人物を特定 [112] 更にロシア軍は研究に関与した8人の人物を特定,米大統領バイデンの息子ハンター資金提供企業のメタビオタに所属していた人 [112] nodaworld,ロシア国防省 [5] 米国はhiv,aids [5] ウクライナを乗っ取る,覇権国家アメリカ [5] ロシア国防省は30日,米国専門家が [5] ウクライナ軍人にも行った,危険な実験は他国の土地で行う [5] aids,の実験を Top Word Pairs in Tweet in G9:
[57] disappointed,learn [57] community,transmission [57] learn,godslovenyc [57] mask,requirements [57] despite,high [57] #covid19,community [57] requirements,despite [57] godslovenyc,ending [57] high,#covid19 [57] ending,mask Top Word Pairs in Tweet in G10:
[22] hiv,aids [14] aids,related [12] related,illness [11] years,release [11] died,hiv [11] film,himself [11] final,film [11] bressan,jr [11] two,years [11] illness,two Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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: