The graph represents a network of 1,544 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 Thursday, 14 November 2019 at 12:49 UTC.
The requested start date was Monday, 11 November 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 69-day, 3-hour, 28-minute period from Monday, 02 September 2019 at 21:12 UTC to Monday, 11 November 2019 at 00:41 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 : 1544
Unique Edges : 3399
Edges With Duplicates : 6972
Total Edges : 10371
Number of Edge Types : 3
Mentions : 9306
Tweet : 744
Replies to : 321
Self-Loops : 744
Reciprocated Vertex Pair Ratio : 0.0839753466872111
Reciprocated Edge Ratio : 0.154939587775409
Connected Components : 30
Single-Vertex Connected Components : 21
Maximum Vertices in a Connected Component : 1503
Maximum Edges in a Connected Component : 10327
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.720801
Graph Density : 0.00177174872984798
Modularity : 0.235091
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,544 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 Thursday, 14 November 2019 at 12:49 UTC.
The requested start date was Monday, 11 November 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 69-day, 3-hour, 28-minute period from Monday, 02 September 2019 at 21:12 UTC to Monday, 11 November 2019 at 00:41 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1685] #rt,pozmagazine [333] poz,pozmagazine [216] à,à [183] living,hiv [155] people,living [148] people,hiv [133] #prep,#prevention [120] hiv,treatment [105] hiv,aids [101] check,out Top Word Pairs in Tweet in G1:
[189] poz,pozmagazine [85] #prep,#prevention [64] people,hiv [63] hiv,treatment [58] living,hiv [50] people,living [42] aids_united,#advocacy [41] trentonstraube,#advocacy [38] living,#hiv [36] hiv,aids Top Word Pairs in Tweet in G2:
[1615] #rt,pozmagazine [72] poz,pozmagazine [62] pozmagazine,poz [50] people,hiv [50] people,living [49] living,hiv [47] #prep,#prevention [43] pozmagazine,#askpoz [39] hiv,aids [39] pozmagazine,#aidsiseveryday Top Word Pairs in Tweet in G3:
[216] à,à [40] biggest,fans [40] fans,week [37] living,hiv [34] people,living [28] week,pozmagazine [23] ˆà,à [19] poz,pozmagazine [18] à,ˆà [17] san,francisco Top Word Pairs in Tweet in G4:
[47] hivplusmag,posaware [45] pozmagazine,hivplusmag [27] viral,load [25] zeezalnasky,pozmagazine [21] undetectable,hiv [19] #undetectableman,jacen_zhu [19] jacen_zhu,#endtheepidemic [19] #endtheepidemic,achieving [19] achieving,maintaining [18] prepsquaddc,#undetectableman Top Word Pairs in Tweet in G5:
[25] hiv,vaccine [22] poz,pozmagazine [21] benryanwriter,pozmagazine [17] pozmagazine,benryanwriter [13] safe,effective [12] join,hiv [12] vaccine,trials [12] s,journey [12] journey,find [12] find,safe Top Word Pairs in Tweet in G6:
[5] #exercise,critical [5] critical,aging [5] aging,well [5] well,w [5] w,chronic [5] chronic,condition [5] condition,particularly [5] particularly,beneficial [5] beneficial,adults [5] adults,living Top Word Pairs in Tweet in G8:
[8] hiv,aids [8] poz,pozmagazine [6] lgbtcenternyc,actupny [6] actupny,pozmagazine [6] pozmagazine,kelseylouiegmhc [6] kelseylouiegmhc,gmhc [6] gmhc,actuppu [6] actuppu,actupparis [6] actupparis,mynameisjro [6] mynameisjro,housingworks Top Word Pairs in Tweet in G9:
[6] join,commemorating [6] commemorating,nairhha [6] nairhha,day [6] day,sept [6] sept,9th [6] 9th,cdc_hivaids [6] cdc_hivaids,cdchep [6] cdchep,moaa_dc [6] moaa_dc,hhs_viralhep [6] hhs_viralhep,hepbfoundation Top Word Pairs in Tweet in G10:
[14] best,video [12] video,series [12] stay,positive [12] test,positive [9] positive,up [9] up,pozmagazine [8] positive,test [6] diaries,nominated [6] awards,2019 [6] 2019,best 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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