The graph represents a network of 1,799 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, 21 January 2019 at 02:16 UTC.
The requested start date was Monday, 21 January 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 80-day, 23-hour, 28-minute period from Thursday, 01 November 2018 at 01:00 UTC to Monday, 21 January 2019 at 00:29 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 : 1799
Unique Edges : 3350
Edges With Duplicates : 5148
Total Edges : 8498
Number of Edge Types : 3
Mentions : 6646
Replies to : 455
Tweet : 1397
Self-Loops : 1397
Reciprocated Vertex Pair Ratio : 0.0852067721343325
Reciprocated Edge Ratio : 0.157033248081841
Connected Components : 62
Single-Vertex Connected Components : 51
Maximum Vertices in a Connected Component : 1712
Maximum Edges in a Connected Component : 8393
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.637912
Graph Density : 0.00120880405069928
Modularity : 0.290342
NodeXL Version : 1.0.1.408
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[562] poz,pozmagazine [234] living,hiv [215] hiv,aids [172] people,hiv [146] people,living [138] top,20 [137] hiv,meds [126] aids,day [125] world,aids [115] check,out Top Word Pairs in Tweet in G1:
[290] poz,pozmagazine [136] top,20 [123] living,hiv [110] based,views [109] hiv,aids [95] hiv,meds [90] people,hiv [82] check,out [82] 2018,based [79] stories,2018 Top Word Pairs in Tweet in G2:
[63] poz,pozmagazine [56] aidshivsurvivorlivingmemorial,thedigitallivingquilt [54] 2018,pozmagazine [47] biggest,fans [47] fans,week [47] djdrek84,pozmagazine [46] best,media [41] hiv,aids [39] week,djdrek84 [39] stop,hiv Top Word Pairs in Tweet in G3:
[67] poz,pozmagazine [28] plhiv,endhivstigma [27] hiv,plhiv [26] endhivstigma,pozmagazine [24] people,hiv [22] new,hiv [19] hiv,aids [18] pozmagazine,trentonstraube [16] 000,new [16] 100,000 Top Word Pairs in Tweet in G4:
[70] poz,pozmagazine [17] living,hiv [12] pozmagazine,benryanwriter [12] poz,100 [11] people,hiv [10] people,living [9] over,50 [9] 100,people [8] hiv,cure [8] waldon,adams Top Word Pairs in Tweet in G5:
[18] hiv,aids [14] poz,pozmagazine [10] people,living [9] make,hiv [9] aids,again [8] living,hiv [6] hiv,positive [6] trump,pence [5] fight,endaids [5] world,aids Top Word Pairs in Tweet in G6:
[27] pozmagazine,foothillaids [25] pozmagazine,glassdoor [18] foothillaids,cdc_hivaids [17] cdc_hivaids,youtube [12] youtube,linkedin [11] glassdoor,hivgov [10] linkedin,fbi [9] hiv,aids [9] pozmagazine,benryanwriter [8] s,stop Top Word Pairs in Tweet in G7:
[26] poz,pozmagazine [19] living,hiv [13] best,media [12] media,campaign [12] campaign,people [12] people,living [7] hiv,poz [6] 2018,pozawards [6] letsstophivtogether,cdcgov [6] military,starts Top Word Pairs in Tweet in G8:
[14] 90,90 [9] poz,pozmagazine [7] much,sub [7] sub,saharan [7] saharan,africa [7] africa,path [7] path,hit [7] hit,unaids [7] unaids,90 [7] 90,targets Top Word Pairs in Tweet in G9:
[6] lgsm,pride [6] pride,bbc [6] bbc,wales [6] wales,today [6] today,2 [6] 2,9 [6] 9,2014 [6] 2014,youtube [6] youtube,one [6] one,watch Top Word Pairs in Tweet in G10:
[5] living,hiv [5] people,hiv [4] u,u [3] men,love [3] trump,restrict [3] restrict,access [3] access,hiv [3] hiv,meds [3] meds,people [3] 6,6 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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