The graph represents a network of 6,155 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, 27 July 2020 at 02:22 UTC.
The requested start date was Monday, 27 July 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 2-day, 15-hour, 45-minute period from Thursday, 23 July 2020 at 18:37 UTC to Sunday, 26 July 2020 at 10:22 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 : 6155
Unique Edges : 3209
Edges With Duplicates : 7064
Total Edges : 10273
Number of Edge Types : 5
Retweet : 3216
MentionsInRetweet : 3772
Replies to : 891
Mentions : 1463
Tweet : 931
Self-Loops : 980
Reciprocated Vertex Pair Ratio : 0.0151567944250871
Reciprocated Edge Ratio : 0.0298609919340999
Connected Components : 1194
Single-Vertex Connected Components : 428
Maximum Vertices in a Connected Component : 799
Maximum Edges in a Connected Component : 1719
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.673589
Graph Density : 0.000153836527766741
Modularity : 0.586526
NodeXL Version : 1.0.1.438
Data Import : The graph represents a network of 6,155 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, 27 July 2020 at 02:22 UTC.
The requested start date was Monday, 27 July 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 2-day, 15-hour, 45-minute period from Thursday, 23 July 2020 at 18:37 UTC to Sunday, 26 July 2020 at 10:22 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:
[2862] hiv,aids [277] anthony,fauci [268] dr,anthony [263] cited,scientists [263] scientific,journals [262] one,world's [262] scientists,scientific [262] fauci,one [261] world's,cited [260] 1983,dr Top Word Pairs in Tweet in G1:
[324] hiv,aids [41] aids,hiv [32] covid,19 [19] #hiv,#aids [16] dr,fauci [13] living,hiv [13] aids,crisis [11] aids,epidemic [10] people,living [10] human,immunodeficiency Top Word Pairs in Tweet in G2:
[259] 1983,dr [259] dr,anthony [259] anthony,fauci [259] fauci,one [259] one,world's [259] world's,cited [259] cited,scientists [259] scientists,scientific [259] scientific,journals [259] journals,pioneer Top Word Pairs in Tweet in G3:
[260] hiv,aids [248] president,mbeki's [248] mbeki's,views [248] views,hiv [248] aids,thoughts [247] kulanicool,president [5] south,africa [3] khanukani4,kulanicool [2] kulanicool,south [2] africa,ended Top Word Pairs in Tweet in G4:
[74] cause,death [52] living,hiv [42] people,living [42] aids,related [41] hiv,infections [40] related,deaths [37] tb,leading [37] leading,infectious [37] infectious,cause [37] death,globally Top Word Pairs in Tweet in G5:
[199] penyakit,yang [199] yang,belum [199] belum,ada [199] ada,obatnya [199] obatnya,corona [199] corona,hiv [199] hiv,aids [199] aids,asma [199] asma,kanker [199] kanker,diabetes Top Word Pairs in Tweet in G6:
[182] inspiration,reagan [182] reagan,cynical [182] cynical,bigoted [182] bigoted,politicisation [182] politicisation,administration [182] administration,response [182] response,hiv [182] hiv,aids [182] aids,ensured [181] billbowtell,inspiration Top Word Pairs in Tweet in G7:
[41] hiv,aids [18] living,hiv [15] aids,pepfar [14] #americaacts,investing [14] investing,more [14] more,85 [14] 85,billion [14] billion,fight [14] fight,hiv [14] pepfar,largest Top Word Pairs in Tweet in G8:
[38] hiv,aids [5] aids,hiv [4] cause,aids [4] hkrassenstein,realdonaldtrump [4] realdonaldtrump,foxandfriends [4] foxandfriends,foxnews [4] foxnews,oann [3] truth,reagan [3] reagan,nancy [3] nancy,hated Top Word Pairs in Tweet in G9:
[107] hiv,aids [103] child,contracted [103] contracted,hiv [103] aids,during [103] during,pregnancy [103] pregnancy,giving [103] giving,medication [103] medication,throughout [103] throughout,without [103] without,clarifying Top Word Pairs in Tweet in G10:
[53] hiv,aids [47] mbeki's,administration [46] administration,filled [46] filled,denialism [46] denialism,lot [46] lot,issues [46] issues,refused [46] refused,provide [46] provide,arvs [46] arvs,people Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G6:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: