The graph represents a network of 1,368 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, 04 October 2021 at 15:32 UTC.
The requested start date was Monday, 04 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 94-day, 23-hour, 59-minute period from Thursday, 01 July 2021 at 00:00 UTC to Monday, 04 October 2021 at 00:00 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 : 1368
Unique Edges : 2066
Edges With Duplicates : 7026
Total Edges : 9092
Number of Edge Types : 5
Mentions : 5481
Retweet : 957
MentionsInRetweet : 1767
Tweet : 593
Replies to : 294
Self-Loops : 604
Reciprocated Vertex Pair Ratio : 0.0511889035667107
Reciprocated Edge Ratio : 0.097392397109645
Connected Components : 41
Single-Vertex Connected Components : 32
Maximum Vertices in a Connected Component : 1318
Maximum Edges in a Connected Component : 9042
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.840935
Graph Density : 0.00170208806581193
Modularity : 0.2282
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,368 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, 04 October 2021 at 15:32 UTC.
The requested start date was Monday, 04 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 94-day, 23-hour, 59-minute period from Thursday, 01 July 2021 at 00:00 UTC to Monday, 04 October 2021 at 00:00 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:
[1329] #rt,pozmagazine [337] poz,pozmagazine [222] covid,19 [168] #prep,#prevention [129] hiv,aids [128] trentonstraube,#advocacy [124] living,hiv [124] #coronavirus,#covid19 [118] pozmagazine,lizhivhep [115] #hiv,#prep Top Word Pairs in Tweet in G1:
[242] poz,pozmagazine [103] covid,19 [89] #prep,#prevention [70] hiv,aids [68] trentonstraube,#advocacy [64] #coronavirus,#covid19 [56] heatherboerner,#hiv [53] living,hiv [53] #hiv,#prep [53] people,living Top Word Pairs in Tweet in G2:
[1284] #rt,pozmagazine [112] pozmagazine,lizhivhep [105] covid,19 [79] #prep,#prevention [79] pozmagazine,#pozbasics [60] #coronavirus,#covid19 [60] trentonstraube,#advocacy [58] pozmagazine,#askpoz [53] heatherboerner,#hiv [47] pozmagazine,poz Top Word Pairs in Tweet in G3:
[30] awarefndngroup,#rt [30] #rt,pozmagazine [14] gender,diverse [14] poz,pozmagazine [11] representation,matters [11] matters,pozmagazine [11] pozmagazine,interview [11] interview,poz [11] poz,magazine [11] magazine,promote Top Word Pairs in Tweet in G4:
[39] fda,approves [39] approves,first [39] first,human [39] human,trial [39] trial,investigating [39] investigating,#crispr [39] #crispr,gene [39] gene,editing [39] editing,#hiv [39] #hiv,cure Top Word Pairs in Tweet in G5:
[14] trishthedish_7,basementvegan [14] basementvegan,s22bos21 [14] emilypetro22,shinnickm [11] shinnickm,pozmagazine [11] heckofaliberal,trishthedish_7 [11] s22bos21,mcfunny [11] mcfunny,loretta_torrago [11] loretta_torrago,emilypetro22 [9] handmadekathy,heckofaliberal [3] pozmagazine,queerty Top Word Pairs in Tweet in G6:
[19] pozmagazine,heatherboerner [12] heatherboerner,pozmagazine [8] way,end [8] end,hiv [8] hiv,overdose [8] overdose,syndemics [8] syndemics,united [8] united,states [8] states,people [8] people,use Top Word Pairs in Tweet in G7:
[7] hivhep,carl [7] carl,schmid [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 Top Word Pairs in Tweet in G8:
[28] kind,messaging [28] messaging,change [28] change,medicine [28] medicine,working [28] working,400 [28] 400,copay [28] copay,10 [27] chadfelixg,kind [27] 10,years [24] hiv,infection Top Word Pairs in Tweet in G9:
[6] lizhivhep,pozmagazine [5] pozmagazine,trentonstraube [5] top,takeaways [5] takeaways,hiv [5] hiv,hepatitis [5] hepatitis,lgbtq [5] lgbtq,health [5] health,sync [5] sync,2021 [5] pozmagazine,jnjnews Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: