The graph represents a network of 1,137 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, 20 September 2021 at 15:30 UTC.
The requested start date was Monday, 20 September 2021 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 80-day, 5-hour, 59-minute period from Thursday, 01 July 2021 at 00:00 UTC to Sunday, 19 September 2021 at 06:00 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 : 1137
Unique Edges : 1604
Edges With Duplicates : 5533
Total Edges : 7137
Number of Edge Types : 5
Retweet : 732
MentionsInRetweet : 1258
Tweet : 501
Mentions : 4412
Replies to : 234
Self-Loops : 511
Reciprocated Vertex Pair Ratio : 0.0523206751054852
Reciprocated Edge Ratio : 0.0994386527666399
Connected Components : 39
Single-Vertex Connected Components : 31
Maximum Vertices in a Connected Component : 1090
Maximum Edges in a Connected Component : 7091
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.905981
Graph Density : 0.00193089053228783
Modularity : 0.227602
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,137 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, 20 September 2021 at 15:30 UTC.
The requested start date was Monday, 20 September 2021 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 80-day, 5-hour, 59-minute period from Thursday, 01 July 2021 at 00:00 UTC to Sunday, 19 September 2021 at 06:00 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 : 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:
[1074] #rt,pozmagazine [302] poz,pozmagazine [195] covid,19 [128] #prep,#prevention [108] living,hiv [104] people,hiv [99] #hiv,#prep [97] #coronavirus,#covid19 [89] people,living [89] trentonstraube,#advocacy Top Word Pairs in Tweet in G1:
[251] poz,pozmagazine [94] covid,19 [68] #prep,#prevention [51] #coronavirus,#covid19 [50] living,hiv [48] trentonstraube,#advocacy [46] #hiv,#prep [45] people,hiv [45] hiv,treatment [45] hiv,aids Top Word Pairs in Tweet in G2:
[1037] #rt,pozmagazine [80] covid,19 [64] pozmagazine,#pozbasics [60] #prep,#prevention [58] pozmagazine,#askpoz [46] #coronavirus,#covid19 [44] pozmagazine,lizhivhep [42] living,hiv [41] pozmagazine,poz [41] heatherboerner,#hiv Top Word Pairs in Tweet in G3:
[19] awarefndngroup,#rt [19] #rt,pozmagazine [19] lizhivhep,pozmagazine [16] covid,19 [15] those,advanced [14] news,#ias2021 [14] people,#hiv [14] recommends,#covidvaccine [14] #covidvaccine,booster [14] booster,immunocompromised Top Word Pairs in Tweet in G4:
[38] fda,approves [38] approves,first [38] first,human [38] human,trial [38] trial,investigating [38] investigating,#crispr [38] #crispr,gene [38] gene,editing [38] editing,#hiv [38] #hiv,cure Top Word Pairs in Tweet in G5:
[8] reduce,stigma [8] stigma,need [8] need,educate [8] educate,ppl [8] ppl,hiv [8] hiv,stay [8] stay,healthy [8] healthy,canâ [8] canâ,pass [7] living,hiv Top Word Pairs in Tweet in G6:
[4] advance,radical [4] radical,notion [4] notion,lives [4] lives,hiv [4] hiv,positive [4] positive,people [4] people,value [3] mpactglobal,advance [3] value,#rightto [3] violence,against Top Word Pairs in Tweet in G7:
[11] representation,matters [11] matters,pozmagazine [11] pozmagazine,interview [11] interview,poz [11] poz,magazine [11] magazine,promote [10] aspieters,representation [10] promote,upcomin [10] #hiv,#aids [7] great,interview Top Word Pairs in Tweet in G8:
[27] kind,messaging [27] messaging,change [27] change,medicine [27] medicine,working [27] working,400 [27] 400,copay [27] copay,10 [26] chadfelixg,kind [26] 10,years [24] hiv,infection Top Word Pairs in Tweet in G9:
[13] publication,alert [13] alert,#hiv [13] #hiv,#prep [13] #prep,being [13] being,prescribed [13] prescribed,needed [13] needed,investigators [13] investigators,jps_health [13] jps_health,deptpopmed [13] deptpopmed,report Top Word Pairs in Tweet in G10:
[6] vision_0_tech,nychra [6] nychra,wole_m_fayemi [6] wole_m_fayemi,realdonaldtrump [6] realdonaldtrump,logcabingop [6] logcabingop,nycgov [6] nycgov,nycspeakercojo [6] nycspeakercojo,nychealthcommr [6] nychealthcommr,nychealthsystem [6] nychealthsystem,nycmayor [6] nycmayor,socialsecurity 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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