The graph represents a network of 8,831 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, 18 January 2021 at 02:11 UTC.
The requested start date was Monday, 18 January 2021 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 5-day, 18-hour, 38-minute period from Monday, 11 January 2021 at 18:57 UTC to Sunday, 17 January 2021 at 13:35 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 : 8831
Unique Edges : 4633
Edges With Duplicates : 10313
Total Edges : 14946
Number of Edge Types : 5
Replies to : 1156
Mentions : 2108
Retweet : 4674
MentionsInRetweet : 5413
Tweet : 1595
Self-Loops : 1650
Reciprocated Vertex Pair Ratio : 0.0162551185010547
Reciprocated Edge Ratio : 0.031990231990232
Connected Components : 1891
Single-Vertex Connected Components : 745
Maximum Vertices in a Connected Component : 2998
Maximum Edges in a Connected Component : 6799
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 7.356958
Graph Density : 0.000105029987407943
Modularity : 0.568781
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 8,831 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, 18 January 2021 at 02:11 UTC.
The requested start date was Monday, 18 January 2021 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 5-day, 18-hour, 38-minute period from Monday, 11 January 2021 at 18:57 UTC to Sunday, 17 January 2021 at 13:35 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:
[4327] hiv,aids [751] aids,jokes [675] jokes,never [675] never,funny [674] phumlani_prep,hiv [320] living,hiv [306] aids,hiv [264] covid,19 [240] #hiv,#aids [212] living,testimony Top Word Pairs in Tweet in G1:
[772] hiv,aids [727] aids,jokes [660] jokes,never [660] never,funny [659] phumlani_prep,hiv [67] living,hiv [66] wonder,people [66] people,lives [66] lives,living [66] hiv,baziva Top Word Pairs in Tweet in G2:
[561] hiv,aids [76] aids,hiv [44] covid,19 [34] #hiv,#aids [20] living,hiv [15] std,hiv [13] public,health [13] people,living [13] aids,awareness [12] aids,epidemic Top Word Pairs in Tweet in G3:
[71] failure,make [71] make,progress [71] related,stigma [71] stigma,discrimination [71] discrimination,undermine [71] undermine,efforts [71] efforts,reach [64] hiv,aids [60] analysis,shows [60] shows,failure Top Word Pairs in Tweet in G4:
[185] hiv,aids [82] alexander,jones [81] mads,brùgger [81] brùgger,journo [81] journo,spreading [81] spreading,aids [81] aids,alexander [81] jones,saimr [81] saimr,pretending [81] pretending,vaccinate Top Word Pairs in Tweet in G5:
[285] hiv,aids [205] living,testimony [205] testimony,hiv [205] aids,define [205] define,#chooseday [204] dingilezikhona,living [52] same,thing [51] aids,same [50] very,important [50] important,many Top Word Pairs in Tweet in G6:
[164] hiv,aids [162] suppose,funny [162] funny,making [162] making,jokes [162] jokes,hiv [162] aids,appropriate [162] appropriate,think [162] think,impact [162] impact,jokes [161] hausofhilton,suppose Top Word Pairs in Tweet in G7:
[92] aids,same [92] same,hiv [90] aids,dey [90] dey,show [90] show,face [90] hiv,hiv [90] hiv,virus [90] virus,attacks [90] attacks,immune [90] immune,system Top Word Pairs in Tweet in G8:
[94] very,glad [94] glad,hear [94] hear,anthony [94] anthony,fauci's [94] fauci's,strong [94] strong,words [94] words,support [94] support,partners' [94] partners',work [94] work,ensure Top Word Pairs in Tweet in G9:
[100] know,middle [100] middle,pandemic [100] pandemic,overwhelmed [100] overwhelmed,ve [100] ve,start [100] start,talking [100] talking,long [100] long,term [99] nombonisogasa,know [99] term,implic Top Word Pairs in Tweet in G10:
[112] hiv,aids [110] date,married [110] married,person [110] person,living [110] living,hiv [110] aids,deserve [110] deserve,love [110] love,acceptance [109] magic2girl,date Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
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: