The graph represents a network of 7,772 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 August 2022 at 02:24 UTC.
The requested start date was Monday, 29 August 2022 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, 3-hour, 1-minute period from Thursday, 25 August 2022 at 09:06 UTC to Sunday, 28 August 2022 at 12:08 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 : 7772
Unique Edges : 4544
Edges With Duplicates : 12279
Total Edges : 16823
Number of Edge Types : 5
Mentions : 1864
Replies to : 661
Retweet : 5441
MentionsInRetweet : 7488
Tweet : 1369
Self-Loops : 1418
Reciprocated Vertex Pair Ratio : 0.00740576986846468
Reciprocated Edge Ratio : 0.0147026552556506
Connected Components : 1222
Single-Vertex Connected Components : 545
Maximum Vertices in a Connected Component : 3100
Maximum Edges in a Connected Component : 6949
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 5.994331
Graph Density : 0.00015090350368331
Modularity : 0.536514
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 7,772 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 August 2022 at 02:24 UTC.
The requested start date was Monday, 29 August 2022 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, 3-hour, 1-minute period from Thursday, 25 August 2022 at 09:06 UTC to Sunday, 28 August 2022 at 12:08 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:
[3852] hiv,aids [1021] aids,bandung [984] case,hiv [982] increasing,case [982] bandung,amongst [982] amongst,productive [982] productive,age [982] age,demographic [982] demographic,december [982] december,2021 Top Word Pairs in Tweet in G1:
[937] hiv,aids [922] increasing,case [922] case,hiv [922] aids,bandung [922] bandung,amongst [922] amongst,productive [922] productive,age [922] age,demographic [922] demographic,december [922] december,2021 Top Word Pairs in Tweet in G2:
[753] kota,bandung [752] terinfeksi,hiv [750] 12,358 [749] data,dari [749] dari,komisi [749] komisi,penanggulangan [749] penanggulangan,aids [749] aids,kpa [749] kpa,2021 [749] 2021,kota Top Word Pairs in Tweet in G3:
[695] polo,cup [516] prince,harry [485] sentebale,polo [355] annual,sentebale [347] isps,handa [340] play,sentebale [340] sentebale,isps [340] handa,polo [340] cup,poloinaspen [340] poloinaspen,raise Top Word Pairs in Tweet in G4:
[448] hiv,aids [40] kasus,hiv [34] kota,bandung [30] aids,epidemic [30] bbc,admits [30] admits,used [30] used,hiv [30] hiv,make [30] make,vaccine [30] vaccine,aids Top Word Pairs in Tweet in G5:
[139] hiv,aids [89] #hiv,#aids [32] #性感染症,#hivboshi [30] #aids,#性感染症 [29] hiv,make [27] people,living [25] bbc,admits [25] admits,used [25] used,hiv [25] make,vaccine Top Word Pairs in Tweet in G6:
[177] hiv,aids [114] fight,against [114] against,hiv [109] aids,tb [109] tb,malaria [108] help,world [108] world,back [108] back,track [107] justintrudeau,cafreeland [107] cafreeland,harjitsajjan Top Word Pairs in Tweet in G7:
[174] #gedanken,willst [174] willst,hiv [174] hiv,neee [174] neee,warum [174] warum,aids [174] aids,ausbrechen [174] ausbrechen,tödlich [174] tödlich,willst [173] einhornhuhnschm,#gedanken [3] berater_1,pandemien Top Word Pairs in Tweet in G8:
[159] hiv,aids [122] kota,bandung [52] terinfeksi,hiv [43] ibu,rumah [43] rumah,tangga [41] kasus,hiv [39] komisi,penanggulangan [39] penanggulangan,aids [39] ratusan,ibu [38] breaking,news Top Word Pairs in Tweet in G9:
[115] bbc,admits [115] admits,used [105] vaccine,aids [104] used,hiv [104] hiv,make [104] make,vaccine [94] aids,course [93] course,covid [93] covid,pills [87] pills,really Top Word Pairs in Tweet in G10:
[68] hiv,aids [24] fighting,stigma [19] being,sued [19] sued,criticizing [19] criticizing,sexiest [19] sexiest,girl [19] girl,hiv [19] aids,monkeypox [19] monkeypox,issue [19] issue,freedom Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G9:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: