The graph represents a network of 1,269 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, 25 October 2021 at 15:31 UTC.
The requested start date was Monday, 25 October 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 84-day, 21-hour, 33-minute period from Sunday, 01 August 2021 at 00:35 UTC to Sunday, 24 October 2021 at 22:08 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 : 1269
Unique Edges : 1964
Edges With Duplicates : 6413
Total Edges : 8377
Number of Edge Types : 5
Replies to : 258
Mentions : 4960
MentionsInRetweet : 1694
Retweet : 880
Tweet : 585
Self-Loops : 593
Reciprocated Vertex Pair Ratio : 0.0441228379809389
Reciprocated Edge Ratio : 0.0845165652467884
Connected Components : 32
Single-Vertex Connected Components : 26
Maximum Vertices in a Connected Component : 1231
Maximum Edges in a Connected Component : 8339
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.754544
Graph Density : 0.00183830383843808
Modularity : 0.229722
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,269 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, 25 October 2021 at 15:31 UTC.
The requested start date was Monday, 25 October 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 84-day, 21-hour, 33-minute period from Sunday, 01 August 2021 at 00:35 UTC to Sunday, 24 October 2021 at 22:08 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:
[1285] #rt,pozmagazine [274] poz,pozmagazine [220] covid,19 [136] #prep,#prevention [127] hiv,aids [116] pozmagazine,lizhivhep [115] trentonstraube,#advocacy [114] #coronavirus,#covid19 [98] heatherboerner,#hiv [97] #hiv,#prep Top Word Pairs in Tweet in G1:
[176] poz,pozmagazine [101] covid,19 [72] #prep,#prevention [63] hiv,aids [59] trentonstraube,#advocacy [58] #coronavirus,#covid19 [50] heatherboerner,#hiv [46] #advocacy,#community [44] 19,vaccine [44] awareness,day Top Word Pairs in Tweet in G2:
[1251] #rt,pozmagazine [111] pozmagazine,lizhivhep [106] covid,19 [80] pozmagazine,#pozbasics [64] #prep,#prevention [58] poz,pozmagazine [56] trentonstraube,#advocacy [56] #coronavirus,#covid19 [49] hiv,aids [47] awarefndngroup,#rt Top Word Pairs in Tweet in G3:
[28] #hiv,#aids [17] review,#hiv [17] #aids,activist [17] activist,peter [17] peter,staley's [17] staley's,memoir [17] memoir,never [17] never,silent [17] silent,life [17] life,thriller Top Word Pairs in Tweet in G4:
[40] fda,approves [40] approves,first [40] first,human [40] human,trial [40] trial,investigating [40] investigating,#crispr [40] #crispr,gene [40] gene,editing [40] editing,#hiv [40] #hiv,cure Top Word Pairs in Tweet in G5:
[4] peterstaley,gregggonsalves [3] pozmagazine,queerty [3] sherylnyt,ddiamond [3] lizhivhep,sherylnyt [2] prep4allnow,peterstaley [2] actupparis,actupdublin [2] actupdublin,#hiv [2] #hiv,lizhivhep [2] sherylnyt,gregggonsalves [2] record,show Top Word Pairs in Tweet in G6:
[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 Word Pairs in Tweet in G7:
[12] heatherboerner,pozmagazine [9] women,hiv [8] black,women [7] y'all,black [7] hiv,die [7] die,earlier [7] earlier,white [7] white,female [7] female,black [7] black,male Top Word Pairs in Tweet in G8:
[8] pozmagazine,trentonstraube [6] lizhivhep,pozmagazine [5] pozmagazine,jnjnews [5] top,takeaways [5] takeaways,hiv [5] hiv,hepatitis [5] hepatitis,lgbtq [5] lgbtq,health [5] health,sync [5] sync,2021 Top Word Pairs in Tweet in G9:
[5] disproportionately,affected [4] awareness,day [4] stories,matter [4] matter,despite [4] despite,being [4] being,disproportionately [4] affected,#hiv [4] #hiv,many [4] many,#latinos [4] #latinos,living Top Word Pairs in Tweet in G10:
[9] check,pozmagazine [9] pozmagazine,coverage [9] coverage,lgbti [9] lgbti,health [9] health,equity [9] equity,report [9] report,released [9] released,cph2021 [9] cph2021,global [9] global,report 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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