The graph represents a network of 5,606 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, 29 June 2020 at 03:10 UTC.
The requested start date was Monday, 29 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 7-hour, 32-minute period from Saturday, 27 June 2020 at 02:52 UTC to Sunday, 28 June 2020 at 10:25 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 : 5606
Unique Edges : 1384
Edges With Duplicates : 8761
Total Edges : 10145
Number of Edge Types : 5
Tweet : 520
Retweet : 4202
MentionsInRetweet : 4439
Replies to : 343
Mentions : 641
Self-Loops : 547
Reciprocated Vertex Pair Ratio : 0.00558551617873652
Reciprocated Edge Ratio : 0.0111089829534572
Connected Components : 707
Single-Vertex Connected Components : 251
Maximum Vertices in a Connected Component : 3359
Maximum Edges in a Connected Component : 6892
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.8525
Graph Density : 0.000166159425847736
Modularity : 0.496914
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 5,606 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, 29 June 2020 at 03:10 UTC.
The requested start date was Monday, 29 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 7-hour, 32-minute period from Saturday, 27 June 2020 at 02:52 UTC to Sunday, 28 June 2020 at 10:25 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:
[1487] hiv,virus [1474] virus,flu [1473] fam,hiv [1473] flu,corona [1473] corona,conveys [1473] conveys,nothing [1473] nothing,worthiness [1473] worthiness,practices [1473] practices,morals [1473] morals,person Top Word Pairs in Tweet in G1:
[1469] fam,hiv [1469] hiv,virus [1469] virus,flu [1469] flu,corona [1469] corona,conveys [1469] conveys,nothing [1469] nothing,worthiness [1469] worthiness,practices [1469] practices,morals [1469] morals,person Top Word Pairs in Tweet in G2:
[1081] reluctant,criticize [1081] criticize,dr [1081] dr,deborah [1081] deborah,birx [1081] birx,woman [1081] woman,overwhelmingly [1081] overwhelmingly,male [1081] male,#coronavirus [1080] angie_rasmussen,reluctant [3] hiv,aids Top Word Pairs in Tweet in G3:
[298] hiv,aids [292] shouldn,shame [292] shame,people [292] people,having [292] having,hiv [291] _pamelaespinal,shouldn [3] someone,member [3] member,family [3] family,diagnosed [3] diagnosed,forced Top Word Pairs in Tweet in G4:
[173] hiv,aids [22] aids,hiv [17] covid,19 [17] hiv,testing [16] testing,day [15] national,hiv [12] living,hiv [11] #hiv,#aids [9] people,living [9] elton,john Top Word Pairs in Tweet in G5:
[166] aids,memorial [166] memorial,park [154] greetings,nyc [154] nyc,aids [154] park,#pride2020 [154] #pride2020,saturday [154] saturday,decorated [154] decorated,specifically [154] specifically,#pridemonth [153] morethanmysle,greetings Top Word Pairs in Tweet in G6:
[104] hiv,aids [51] 13,dr [51] dr,fauci [51] fauci,focused [51] focused,hiv [51] aids,much [51] much,career [51] career,disproportionate [51] disproportionate,death [51] death,rates Top Word Pairs in Tweet in G7:
[73] 50th,anniversary [73] anniversary,york [73] york,city's [73] city's,first [73] first,pride [73] pride,march [73] march,women [73] pen,letter [73] letter,explaining [73] explaining,hiv Top Word Pairs in Tweet in G8:
[16] hiv,aids [8] #covid19,bad [8] bad,terms [8] terms,cases [8] cases,deaths [8] deaths,follow [8] follow,reply [7] gregggonsalves,#covid19 [4] hiv,testing [4] learn,more Top Word Pairs in Tweet in G9:
[52] #hivtestingday,encourage [52] encourage,jerseyans [52] jerseyans,tested [52] tested,health [52] health,happiness [52] happiness,partner [51] govmurphy,#hivtestingday Top Word Pairs in Tweet in G10:
[21] micro,small [21] small,medium [21] medium,sized [21] sized,enterprises [21] enterprises,make [21] make,over [21] over,90 [21] 90,businesses [21] businesses,worldwide [21] worldwide,accounting 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 G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
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: