The graph represents a network of 9,130 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 Tuesday, 29 December 2020 at 02:12 UTC.
The requested start date was Monday, 28 December 2020 at 01:01 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 4-day, 20-hour, 24-minute period from Wednesday, 23 December 2020 at 04:35 UTC to Monday, 28 December 2020 at 01:00 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 : 9130
Unique Edges : 4228
Edges With Duplicates : 10887
Total Edges : 15115
Number of Edge Types : 5
Retweet : 5078
MentionsInRetweet : 5693
Mentions : 1904
Replies to : 1131
Tweet : 1309
Self-Loops : 1359
Reciprocated Vertex Pair Ratio : 0.00856040511212925
Reciprocated Edge Ratio : 0.0169754931261207
Connected Components : 1673
Single-Vertex Connected Components : 637
Maximum Vertices in a Connected Component : 3566
Maximum Edges in a Connected Component : 7276
Maximum Geodesic Distance (Diameter) : 34
Average Geodesic Distance : 9.71239
Graph Density : 0.000100362613180893
Modularity : 0.566335
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 9,130 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 Tuesday, 29 December 2020 at 02:12 UTC.
The requested start date was Monday, 28 December 2020 at 01:01 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 4-day, 20-hour, 24-minute period from Wednesday, 23 December 2020 at 04:35 UTC to Monday, 28 December 2020 at 01:00 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:
[4781] hiv,aids [1891] batang,poz [1731] awareness,hiv [1720] mga,batang [1706] poz,series [1704] spreads,awareness [1702] series,spreads [1702] judge,people [1701] aids,judge [1700] awrabriguelaaa,mga Top Word Pairs in Tweet in G1:
[1705] batang,poz [1695] hiv,aids [1683] awareness,hiv [1682] mga,batang [1681] poz,series [1681] series,spreads [1681] spreads,awareness [1681] aids,judge [1681] judge,people [1680] awrabriguelaaa,mga Top Word Pairs in Tweet in G2:
[428] hiv,aids [90] covid,19 [58] aids,hiv [49] fight,against [42] against,aids [42] anthony,fauci's [42] fauci's,fight [41] disease,treatment [41] treatment,cure' [41] cure',anthony Top Word Pairs in Tweet in G3:
[94] hiv,aids [94] 80th,birthday [80] small,gang [80] gang,tony [80] tony,fauci's [80] fauci's,hiv [80] aids,comrades [80] comrades,managed [79] peterstaley,small [78] managed,surprise Top Word Pairs in Tweet in G4:
[98] 123,000 [98] 000,293 [98] 293,000 [98] infections,69 [98] 69,000 [97] 000,additional [96] modelling,warns [96] warns,#covid19 [96] #covid19,related [96] related,disruptions Top Word Pairs in Tweet in G5:
[136] 1980s,fauci [136] fauci,birx [136] birx,others [136] others,strongly [136] strongly,warned [136] warned,against [136] against,blaming [136] blaming,segments [136] segments,society [136] society,those Top Word Pairs in Tweet in G6:
[33] hiv,aids [10] aids,workers [6] aids,hiv [6] years,each [6] each,year [5] invasive,species [5] species,research [5] research,193m [5] 193m,hiv [5] workers,working Top Word Pairs in Tweet in G7:
[40] hiv,aids [9] looking,back [9] back,hiv [9] hiv,policy [9] policy,2020 [9] 2020,aids_united [9] aids_united,#advocacy [9] #advocacy,#africanamerican [9] #africanamerican,#covid19 [7] today,hero Top Word Pairs in Tweet in G8:
[133] hiv,aids [58] corona,virus [58] virus,following [58] following,same [58] same,narrative [58] narrative,hiv [58] aids,starts [58] starts,outside [58] outside,africa [58] africa,africa Top Word Pairs in Tweet in G9:
[75] hiv,aids [65] finally,admit [65] admit,stupid [65] stupid,class [65] class,snobbery [65] snobbery,double [65] double,standard [65] standard,nitpicking [65] nitpicking,hiv [65] hiv,doesn Top Word Pairs in Tweet in G10:
[110] having,unprotected [110] unprotected,sex [110] sex,infected [110] infected,partner [110] partner,season [110] season,transmit [110] transmit,hiv [110] hiv,aids [110] aids,hepatitis [108] hepatitis,gonorrhea Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
Top Replied-To in G7:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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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: