The graph represents a network of 8,820 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, 06 September 2021 at 02:01 UTC.
The requested start date was Monday, 06 September 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, 18-hour, 7-minute period from Wednesday, 01 September 2021 at 18:00 UTC to Sunday, 05 September 2021 at 12:07 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 : 8820
Unique Edges : 5410
Edges With Duplicates : 11331
Total Edges : 16741
Number of Edge Types : 5
Retweet : 5223
MentionsInRetweet : 7261
Mentions : 1994
Replies to : 939
Tweet : 1324
Self-Loops : 1421
Reciprocated Vertex Pair Ratio : 0.0113918806959403
Reciprocated Edge Ratio : 0.0225271349580176
Connected Components : 1592
Single-Vertex Connected Components : 609
Maximum Vertices in a Connected Component : 1374
Maximum Edges in a Connected Component : 4183
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 3.287866
Graph Density : 0.00012555349085244
Modularity : 0.578031
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 8,820 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, 06 September 2021 at 02:01 UTC.
The requested start date was Monday, 06 September 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, 18-hour, 7-minute period from Wednesday, 01 September 2021 at 18:00 UTC to Sunday, 05 September 2021 at 12:07 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:
[3312] hiv,aids [1473] children,dawn [1249] project,2021 [1249] 2021,#jiminwithdawn [1249] #jiminwithdawn,fundraiser [1249] fundraiser,children [1249] dawn,join [1249] join,childrenofdawn [1248] introducing,park [1248] park,jimin Top Word Pairs in Tweet in G1:
[1471] children,dawn [1248] introducing,park [1248] park,jimin [1248] jimin,birthday [1248] birthday,project [1248] project,2021 [1248] 2021,#jiminwithdawn [1248] #jiminwithdawn,fundraiser [1248] fundraiser,children [1248] dawn,join Top Word Pairs in Tweet in G2:
[573] hiv,aids [161] air,pollution [135] pollution,cutting [135] people's,lives [128] cutting,more [128] more,years [128] lives,smoking [128] war,hiv [127] smoking,war [124] years,people's Top Word Pairs in Tweet in G3:
[283] air,pollution [283] life,expectancy [282] pollution,slashing [282] slashing,years [282] years,billions [282] billions,people's [282] people's,lives [282] lives,around [282] around,world [282] world,greater Top Word Pairs in Tweet in G4:
[188] hiv,aids [177] south,africa [176] know,hiv [176] aids,end [176] end,south [175] danielmarven,know [46] proud,measures [46] measures,fight [46] fight,covid [46] covid,19 Top Word Pairs in Tweet in G5:
[73] 3rd,covid [71] covid,vaccine [42] cd4,lt [42] lt,200 [40] people,hiv [39] vaccine,dose [39] hiv,cd4 [38] recommended,jcvi [37] dose,recommended [37] jcvi,people Top Word Pairs in Tweet in G6:
[76] hiv,aids [54] people,living [54] living,hiv [48] urgent,action [47] world,leaders [47] political,declaration [46] million,people [46] people,acquired [46] acquired,hiv [46] hiv,2020 Top Word Pairs in Tweet in G7:
[158] smoking,car [158] hiv,aids [157] car,crashes [157] crashes,hiv [156] air,pollution [154] report,finds [139] finds,air [139] pollution,killing [139] killing,people [139] people,faster Top Word Pairs in Tweet in G8:
[141] sunday,times [138] andrew,neil [137] lest,forget [137] forget,editor [137] editor,sunday [137] times,andrew [137] neil,enthusiastically [137] enthusiastically,spread [137] spread,unscientific [137] unscientific,prejudiced Top Word Pairs in Tweet in G9:
[132] hiv,aids [86] aids,better [86] better,diabetes [86] diabetes,africans [86] africans,diabetes [85] rayrealest,hiv [26] first,signs [26] signs,hiv [25] _samuel_aaron,first [19] confirmed,born Top Word Pairs in Tweet in G10:
[101] air,pollution [95] pollution,cutting [95] cutting,short [95] short,lives [95] lives,billions [95] billions,people [94] keep,burning [94] burning,coal [94] coal,folks [94] folks,everything Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
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: