The graph represents a network of 1,378 Twitter users whose tweets in the requested range contained "pozmagazine", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 10 August 2020 at 12:20 UTC.
The requested start date was Monday, 10 August 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 69-day, 23-hour, 43-minute period from Monday, 01 June 2020 at 00:11 UTC to Sunday, 09 August 2020 at 23:55 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 : 1378
Unique Edges : 2354
Edges With Duplicates : 7843
Total Edges : 10197
Number of Edge Types : 5
Retweet : 1309
MentionsInRetweet : 2385
Mentions : 5412
Tweet : 872
Replies to : 219
Self-Loops : 881
Reciprocated Vertex Pair Ratio : 0.0816326530612245
Reciprocated Edge Ratio : 0.150943396226415
Connected Components : 37
Single-Vertex Connected Components : 31
Maximum Vertices in a Connected Component : 1329
Maximum Edges in a Connected Component : 10137
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.679581
Graph Density : 0.00189933523266857
Modularity : 0.207583
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 1,378 Twitter users whose tweets in the requested range contained "pozmagazine", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 10 August 2020 at 12:20 UTC.
The requested start date was Monday, 10 August 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 69-day, 23-hour, 43-minute period from Monday, 01 June 2020 at 00:11 UTC to Sunday, 09 August 2020 at 23:55 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 : pozmagazine
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:
[1444] #rt,pozmagazine [547] covid,19 [439] poz,pozmagazine [292] #coronavirus,#covid19 [167] people,living [150] living,hiv [134] people,hiv [123] hiv,aids [99] pozmagazine,#askpoz [91] living,#hiv Top Word Pairs in Tweet in G1:
[268] covid,19 [219] poz,pozmagazine [189] #coronavirus,#covid19 [67] people,hiv [64] #hiv,#plhiv [63] people,living [63] #plhiv,#sciencenotstigma [58] #sciencenotstigma,pozmagazine [56] living,hiv [55] #prep,#prevention Top Word Pairs in Tweet in G2:
[1374] #rt,pozmagazine [157] covid,19 [98] pozmagazine,#askpoz [93] #coronavirus,#covid19 [85] poz,pozmagazine [56] pozmagazine,poz [42] people,living [42] people,hiv [39] hiv,aids [38] living,hiv Top Word Pairs in Tweet in G3:
[45] poz,pozmagazine [22] covid,19 [18] #aids2020virtual,#aids2020 [18] unaids,pride_site [18] pozmagazine,pridenequality [17] gatesfoundation,melindagates [16] pride_site,pozmagazine [13] benryanwriter,pozmagazine [13] people,#hiv [13] melindagates,defeathiv Top Word Pairs in Tweet in G4:
[32] people,living [30] covid,19 [25] living,hiv [21] awarefndngroup,#rt [21] #rt,pozmagazine [19] living,#hiv [16] br999,murray_penner [14] aids,vaccine [14] long,term [13] mr,president Top Word Pairs in Tweet in G5:
[25] covid,19 [18] living,hiv [18] global,efforts [18] efforts,address [18] children,falling [18] falling,short [15] address,#hiv [15] #hiv,children [14] people,living [13] end,hiv Top Word Pairs in Tweet in G6:
[5] please,#canadian [5] #canadian,#african [5] #african,friend [5] friend,carlos [5] carlos,idibouo [5] idibouo,wear [5] wear,mask [4] michaelpetrelis,please [4] mask,stop [4] stop,#coronaviruspandemic Top Word Pairs in Tweet in G7:
[49] poz,pozmagazine [21] covid,19 [15] #poz,#plwh [11] pozmagazine,#hiv [10] people,hiv [8] #hiv,epidemic [6] bmore_healthy,jhunursing [6] bmore_healthy,mdhealthdept [6] living,#hiv [5] end,#hiv Top Word Pairs in Tweet in G8:
[12] #istandwithfauci,#istandwithfauci [9] 6dm4,talia_mota [9] talia_mota,hivma [9] hivma,hivpxresearch [6] poz,pozmagazine [6] pozmagazine,benryanwriter [6] #istandwithfauci,plz [6] plz,6dm4 [5] avac,launches [5] launches,dynamic Top Word Pairs in Tweet in G9:
[15] molecular,surveillance [14] public,health [6] important,discussion [6] discussion,ethics [6] ethics,hiv [6] hiv,molecular [6] surveillance,know [6] know,cdc [6] cdc,public [6] health,agencies Top Word Pairs in Tweet in G10:
[16] #getcarebroward,pozmagazine [10] home,hiv [10] hiv,tests [9] 10,000 [8] 000,free [8] free,home [7] awarefndngroup,#rt [7] #rt,pozmagazine [7] djdrek84,hecalder [7] orasure,proud Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: