The graph represents a network of 5,793 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 2/12/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 13 February 2023 at 03:23 UTC.
The tweets in the network were tweeted over the 3068-day, 6-hour, 52-minute period from Friday, 19 September 2014 at 18:07 UTC to Monday, 13 February 2023 at 01:00 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 : 5793
Unique Edges : 2036
Edges With Duplicates : 10427
Total Edges : 12463
Number of Edge Types : 9
Retweet : 4153
MentionsInRetweet : 4635
Quote : 86
MentionsInQuote : 196
Mentions : 399
Tweet : 536
Replies to : 599
MentionsInReplyTo : 1848
MentionsInQuoteReply : 11
Self-Loops : 751
Reciprocated Vertex Pair Ratio : 0.0225182366000634
Reciprocated Edge Ratio : 0.0440446650124069
Connected Components : 586
Single-Vertex Connected Components : 177
Maximum Vertices in a Connected Component : 2730
Maximum Edges in a Connected Component : 6149
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 3.593959
Graph Density : 0.000192173255395872
Modularity : 0.496206
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,793 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 2/12/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 13 February 2023 at 03:23 UTC.
The tweets in the network were tweeted over the 3068-day, 6-hour, 52-minute period from Friday, 19 September 2014 at 18:07 UTC to Monday, 13 February 2023 at 01:00 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:
[2232] todd,callender [2230] hiv,proteins [2227] put,hiv [2227] tested,aids [2226] attorney,todd [2226] military,being [2226] shots,gave [2226] proteins,shots [2226] being,tested [2226] aids,attorney Top Word Pairs in Tweet in G1:
[1778] hiv,proteins [1778] todd,callender [1775] attorney,todd [1775] gave,world [1775] callender,put [1775] proteins,shots [1775] shots,gave [1775] aids,attorney [1775] put,hiv [1775] tested,aids Top Word Pairs in Tweet in G2:
[438] todd,callender [438] shots,gave [438] aids,attorney [438] put,hiv [438] being,tested [438] proteins,shots [438] military,being [438] tested,aids [438] attorney,todd [438] callender,put Top Word Pairs in Tweet in G3:
[377] hiv,aids [376] cancer,sexual [376] psychological,wellbeing [376] aids,cancer [376] wellbeing,hiv [376] research,impacts [376] gender,minorities [376] impacts,psychological [376] sexual,gender [375] frontpubhealth,research Top Word Pairs in Tweet in G4:
[187] hiv,infection [164] infection,manifest [164] kills,cells [164] manifest,aids [164] body's,cold [164] years,initial [164] covid,kills [164] aids,covid [164] 10,years [164] cells,body's Top Word Pairs in Tweet in G5:
[464] mark,ashton [232] ashton,former [232] general,secretary [232] former,ycl [232] ashton,passed [232] working,class [232] ycl,general [232] away,11th [232] hero,mark [232] class,hero Top Word Pairs in Tweet in G6:
[117] hiv,aids [27] aids,hiv [23] #hiv,#aids [13] aids,awareness [12] black,hiv [12] awareness,day [10] positive,std [10] aids,single [10] std,hiv [10] national,black Top Word Pairs in Tweet in G7:
[59] hiv,aids [24] fighting,stigma [24] hiv,fighting [17] aids,hiv [14] ken,clarke [13] scene,broadcast [13] around,gay [13] bbceastenders,height [13] panic,around [13] gay,plague Top Word Pairs in Tweet in G8:
[70] protect,yourself [66] loved,ones [66] yourself,loved [51] ones,stis [51] sure,protect [49] hiv,aids [31] come,go [31] valentine,come [31] stigma,always [31] always,remain Top Word Pairs in Tweet in G9:
[4] hiv,aids [2] fatalfibers,badhatter353 [2] real_seeking,mattyboysmit1 [2] hansel21_,cachepast [2] billsam390,ssz1967 [2] pkdocker9,albowers1 [2] mattyboysmit1,amber84280581 [2] badhatter353,shaneakaprop [2] albowers1,takethatct [2] research,papers Top Word Pairs in Tweet in G10:
[34] goddeketal,fauci [32] immunity,c19 [32] c19,infection [32] first,month [32] natural,immunity [32] saying,first [32] data,natural [32] month,enough [32] fauci,saying [32] enough,data Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G6:
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:
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: