The graph represents a network of 8,384 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, 01 November 2021 at 01:59 UTC.
The requested start date was Monday, 01 November 2021 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, 20-hour, 36-minute period from Wednesday, 27 October 2021 at 15:32 UTC to Sunday, 31 October 2021 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 : 8384
Unique Edges : 5302
Edges With Duplicates : 11752
Total Edges : 17054
Number of Edge Types : 5
Retweet : 5196
MentionsInRetweet : 7453
Replies to : 835
Tweet : 1370
Mentions : 2200
Self-Loops : 1461
Reciprocated Vertex Pair Ratio : 0.0140918580375783
Reciprocated Edge Ratio : 0.0277920741121976
Connected Components : 1512
Single-Vertex Connected Components : 651
Maximum Vertices in a Connected Component : 1311
Maximum Edges in a Connected Component : 4317
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 4.573095
Graph Density : 0.000138226741141878
Modularity : 0.571266
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,384 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, 01 November 2021 at 01:59 UTC.
The requested start date was Monday, 01 November 2021 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, 20-hour, 36-minute period from Wednesday, 27 October 2021 at 15:32 UTC to Sunday, 31 October 2021 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:
[3717] hiv,aids [1086] ayder,comp [1086] comp,specialized [1086] specialized,hospital [1086] hospital,stopped [1086] stopped,dialysis [1086] dialysis,service [1086] service,patients [1086] patients,kidney [1086] kidney,diseases Top Word Pairs in Tweet in G1:
[1079] ayder,comp [1079] comp,specialized [1079] specialized,hospital [1079] hospital,stopped [1079] stopped,dialysis [1079] dialysis,service [1079] service,patients [1079] patients,kidney [1079] kidney,diseases [1079] diseases,health Top Word Pairs in Tweet in G2:
[528] hiv,aids [99] covid,19 [82] killed,more [77] 19,killed [61] #hiv,#aids [46] people,hiv [45] 000,americans [44] aids,killed [44] two,years [43] aids,hiv Top Word Pairs in Tweet in G3:
[546] high,schooler [546] schooler,jimin [546] jimin,phone [546] phone,case [546] case,marymond [546] marymond,brand [546] brand,supporting [546] supporting,comfort [546] comfort,women [546] women,victims Top Word Pairs in Tweet in G4:
[499] sabe,causa [499] causa,hiv [499] hiv,aids [460] aids,projetemos [460] projetemos,jollyxx [459] quebrandootabu,sabe [48] vacinas,não [39] aids,sucateamento [39] sucateamento,programas [39] programas,prevenção Top Word Pairs in Tweet in G5:
[46] hiv,aids [38] hiv_medicine,thelancethiv [33] eacsociety,tristanjbarber [33] tristanjbarber,ukcab [33] ukcab,hiv_medicine [32] thelancethiv,medscape [32] medscape,cco_infdis [32] drlaurajwaters,eacsociety [31] cco_infdis,bryndlewindle [29] nat_aids_trust,ejaf Top Word Pairs in Tweet in G6:
[280] hiv,aids [59] society,stop [57] johnlaban256,think [56] information,hiv [40] think,society [40] stop,passing [40] passing,wrong [40] wrong,information [40] aids,myths [40] myths,people Top Word Pairs in Tweet in G7:
[196] hiv,aids [190] covid,19 [190] 19,killed [190] killed,more [185] more,americans [185] americans,year [185] year,half [185] half,hiv [185] aids,40 [185] 40,years Top Word Pairs in Tweet in G8:
[150] community,dies [150] dies,everyday [150] everyday,whether [150] whether,hiv [150] hiv,aids [150] aids,transphobia [150] transphobia,homophobia [150] homophobia,ask [150] ask,consider [149] pier_dll,community Top Word Pairs in Tweet in G9:
[242] hiv,aids [176] cure,hiv [84] riodeline,stones [73] stones,natural [73] natural,cure [57] aids,become [56] first,man [55] discover,riodeline [54] mylogist,first [53] man,discover Top Word Pairs in Tweet in G10:
[133] hiv,aids [72] higher,chances [72] chances,guy [72] guy,between [72] between,20yrs [72] 20yrs,35yrs [72] 35yrs,hiv [72] aids,person [72] person,owns [72] owns,car Top Replied-To in Entire Graph:
Top Replied-To in G1:
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: