The graph represents a network of 1,082 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, 08 November 2021 at 15:32 UTC.
The requested start date was Monday, 08 November 2021 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 67-day, 21-hour, 20-minute period from Wednesday, 01 September 2021 at 00:40 UTC to Sunday, 07 November 2021 at 22:00 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 : 1082
Unique Edges : 1830
Edges With Duplicates : 5083
Total Edges : 6913
Number of Edge Types : 5
Mentions : 4010
Retweet : 739
MentionsInRetweet : 1491
Tweet : 464
Replies to : 209
Self-Loops : 475
Reciprocated Vertex Pair Ratio : 0.0442270058708415
Reciprocated Edge Ratio : 0.0847076461769115
Connected Components : 26
Single-Vertex Connected Components : 23
Maximum Vertices in a Connected Component : 1053
Maximum Edges in a Connected Component : 6885
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.663617
Graph Density : 0.00228103983954065
Modularity : 0.239703
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,082 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, 08 November 2021 at 15:32 UTC.
The requested start date was Monday, 08 November 2021 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 67-day, 21-hour, 20-minute period from Wednesday, 01 September 2021 at 00:40 UTC to Sunday, 07 November 2021 at 22:00 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:
[1050] #rt,pozmagazine [194] poz,pozmagazine [158] covid,19 [107] pozmagazine,lizhivhep [98] trentonstraube,#advocacy [97] hiv,aids [89] #coronavirus,#covid19 [85] #prep,#prevention [78] people,hiv [72] #advocacy,#community Top Word Pairs in Tweet in G1:
[119] poz,pozmagazine [71] covid,19 [51] trentonstraube,#advocacy [50] hiv,aids [44] #coronavirus,#covid19 [44] #prep,#prevention [44] looks,pozmagazine [44] pozmagazine,joined [44] joined,dotgay [44] dotgay,family Top Word Pairs in Tweet in G2:
[1013] #rt,pozmagazine [96] pozmagazine,lizhivhep [77] covid,19 [64] pozmagazine,#pozbasics [47] trentonstraube,#advocacy [45] #coronavirus,#covid19 [44] poz,pozmagazine [41] #prep,#prevention [38] pozmagazine,#pozstories [35] #advocacy,#community Top Word Pairs in Tweet in G3:
[22] #hiv,#aids [22] never,silent [18] review,#hiv [18] #aids,activist [18] activist,peter [18] peter,staley's [18] staley's,memoir [18] memoir,never [18] silent,life [18] life,thriller Top Word Pairs in Tweet in G4:
[12] heatherboerner,pozmagazine [9] black,women [9] women,hiv [8] living,hiv [8] women,living [8] aids,trending [8] trending,please [8] please,visit [8] visit,credible [8] credible,sources Top Word Pairs in Tweet in G5:
[41] fda,approves [41] approves,first [41] first,human [41] human,trial [41] trial,investigating [41] investigating,#crispr [41] #crispr,gene [41] gene,editing [41] editing,#hiv [41] #hiv,cure Top Word Pairs in Tweet in G6:
[44] please,vote [44] vote,#uefu [44] #uefu,pozmagazine [44] pozmagazine,awards [44] awards,takes [44] takes,seconds [42] kaydengrayxxx,please [36] pozmagazine,altshiftxxx [30] seconds,need [30] need,register Top Word Pairs in Tweet in G7:
[21] poz,pozmagazine [20] dashawnusher,lilnasx [20] lilnasx,baby [20] baby,registry [20] registry,raises [20] raises,funds [20] funds,#hiv [20] #hiv,nonprofits [20] nonprofits,poz [5] hiv,stigma Top Word Pairs in Tweet in G8:
[8] pozmagazine,trentonstraube [5] top,takeaways [5] takeaways,hiv [5] hiv,hepatitis [5] hepatitis,lgbtq [5] lgbtq,health [5] health,sync [5] sync,2021 [4] awareness,day [4] 2021,thanks Top Word Pairs in Tweet in G9:
[9] awarefndngroup,#rt [9] #rt,pozmagazine [7] stories,matter [7] matter,despite [7] despite,being [7] being,disproportionately [7] disproportionately,affected [7] affected,#hiv [7] #hiv,many [7] many,#latinos Top Word Pairs in Tweet in G10:
[9] awarefndngroup,#rt [9] #rt,pozmagazine [4] tristanjbarber,excellondon [4] excellondon,britishhivassoc [4] britishhivassoc,eacsociety [4] eacsociety,thefoodchain [4] drlaurajwaters,eacsociety [4] eacsociety,tristanjbarber [4] tristanjbarber,ukcab [4] ukcab,hiv_medicine 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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