The graph represents a network of 5,298 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 3/5/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 06 March 2023 at 03:19 UTC.
The tweets in the network were tweeted over the 2625-day, 3-hour, 22-minute period from Sunday, 27 December 2015 at 21:36 UTC to Monday, 06 March 2023 at 00:58 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 : 5298
Unique Edges : 2587
Edges With Duplicates : 9933
Total Edges : 12520
Number of Edge Types : 9
Retweet : 3694
MentionsInRetweet : 4343
Mentions : 493
Quote : 113
Tweet : 948
Replies to : 953
MentionsInReplyTo : 1905
MentionsInQuote : 64
MentionsInQuoteReply : 7
Self-Loops : 1316
Reciprocated Vertex Pair Ratio : 0.0263804686219892
Reciprocated Edge Ratio : 0.0514048531289911
Connected Components : 858
Single-Vertex Connected Components : 263
Maximum Vertices in a Connected Component : 1244
Maximum Edges in a Connected Component : 3961
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 3.773059
Graph Density : 0.000223208033949856
Modularity : 0.500581
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,298 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 3/5/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 06 March 2023 at 03:19 UTC.
The tweets in the network were tweeted over the 2625-day, 3-hour, 22-minute period from Sunday, 27 December 2015 at 21:36 UTC to Monday, 06 March 2023 at 00:58 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:
[2355] hiv,aids [1210] aidsという感染症は存在しません,hiv陽性者がいるだけです [1210] hiv陽性者がいるだけです,免疫力が低下して亡くなるのは抗hiv薬を飲むからです [1210] 免疫力が低下して亡くなるのは抗hiv薬を飲むからです,ちなみに薬の値段は１ヶ月約20万円 [1210] ちなみに薬の値段は１ヶ月約20万円,これもマッチポンプです [1210] 繰り返しになりますが,aidsという感染症は存在しません [1209] kojikoj94192232,繰り返しになりますが [133] blood,jesus [133] mightiest,prophets [116] #hiv,#aids Top Word Pairs in Tweet in G1:
[1205] ちなみに薬の値段は１ヶ月約20万円,これもマッチポンプです [1205] 繰り返しになりますが,aidsという感染症は存在しません [1205] aidsという感染症は存在しません,hiv陽性者がいるだけです [1205] hiv陽性者がいるだけです,免疫力が低下して亡くなるのは抗hiv薬を飲むからです [1205] 免疫力が低下して亡くなるのは抗hiv薬を飲むからです,ちなみに薬の値段は１ヶ月約20万円 [1204] kojikoj94192232,繰り返しになりますが [28] 私もhivというウイルスがaidsの原因ではないという話を聞いた時は半信半疑でした,しかし少し考えてみると性感染症なら日本でも爆発的に増えるはずですがそうはなっていません [27] しかし少し考えてみると性感染症なら日本でも爆発的に増えるはずですがそうはなっていません,私の周りにも風俗に行ったり外国に行ったりして遊んでいる方は大勢い [27] 2ophmazhbjjhvho,私もhivというウイルスがaidsの原因ではないという話を聞いた時は半信半疑でした [6] ベースとして免疫力の低下した方にhivが感染してaidsが発症するのかもしれません,免疫さえ正常ならhivに感染しない Top Word Pairs in Tweet in G2:
[1021] hiv,aids [128] mightiest,prophets [114] blood,jesus [94] aids,healed [75] two,mightiest [73] one,command [66] healing,hiv [65] mightiest,mightiest [64] aids,deleted [58] prophets,lord Top Word Pairs in Tweet in G3:
[222] hiv,aids [37] #hiv,#aids [20] aids,hiv [13] hiv,fighting [13] fighting,stigma [12] #aids,#hivawareness [12] #charitybenefit,#nonprofit [12] #dj,#music [12] #foundation,#hiv [12] #nonprofit,#foundation Top Word Pairs in Tweet in G4:
[78] hiv,aids [18] against,hiv [12] 00,pm [10] more,disease [10] disease,injustice [9] everything,know [9] past,decades [8] trusted,over [8] last,four [8] despite,advances Top Word Pairs in Tweet in G5:
[95] resonates,today [95] lambert,stars [95] adam,lambert [95] aids,drama [95] historical,aids [95] fairyland,resonates [95] stars,historical [95] drama,fairyland [68] today,trentonstraube [64] pozmagazine,adam Top Word Pairs in Tweet in G6:
[45] todd,callender [32] tested,aids [31] attorney,todd [31] gave,world [31] callender,put [31] proteins,shots [31] shots,gave [31] aids,attorney [31] put,hiv [31] hiv,proteins Top Word Pairs in Tweet in G7:
[86] multiple,bfs [86] isn,flex [86] bfs,isn [86] ll,soon [86] slut,ll [86] cheap,slut [86] hiv,aids [86] flex,re [86] soon,contact [86] having,multiple Top Word Pairs in Tweet in G8:
[44] hiv,aids [20] health,symposium [17] fight,against [17] against,hiv [16] students,health [15] kamogabruno5,proved [15] university,leadership [15] power,university [15] youth,power [15] actiongovt,kamogabruno5 Top Word Pairs in Tweet in G9:
[46] curado,hiv [46] aids,alemão [46] paciente,curado [46] revistaoeste,aids [46] 5º,paciente [46] alemão,5º [30] após,vacina [30] hiv,após [30] registro,militar [30] militar,eua Top Word Pairs in Tweet in G10:
[37] hiv,aids [32] immune,damage [29] damage,infection [29] aids,level [29] infection,yes [29] causing,aids [29] kids,hiv [29] yes,kids [29] covid19,causing [29] level,worse Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
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:
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: