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 Monday, 28 September 2020 at 12:41 UTC.
The requested start date was Monday, 28 September 2020 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 88-day, 23-hour, 6-minute period from Wednesday, 01 July 2020 at 00:20 UTC to Sunday, 27 September 2020 at 23:26 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 : 2573
Edges With Duplicates : 9348
Total Edges : 11921
Number of Edge Types : 5
Mentions : 6812
Retweet : 1376
MentionsInRetweet : 2462
Tweet : 946
Replies to : 325
Self-Loops : 954
Reciprocated Vertex Pair Ratio : 0.0775630703166935
Reciprocated Edge Ratio : 0.143960149439602
Connected Components : 34
Single-Vertex Connected Components : 29
Maximum Vertices in a Connected Component : 1504
Maximum Edges in a Connected Component : 11873
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.695958
Graph Density : 0.00168528101168909
Modularity : 0.196473
NodeXL Version : 1.0.1.440
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 Monday, 28 September 2020 at 12:41 UTC.
The requested start date was Monday, 28 September 2020 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 88-day, 23-hour, 6-minute period from Wednesday, 01 July 2020 at 00:20 UTC to Sunday, 27 September 2020 at 23:26 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:
[1807] #rt,pozmagazine [599] covid,19 [440] poz,pozmagazine [365] #coronavirus,#covid19 [194] hiv,aids [175] people,living [172] living,hiv [151] people,hiv [116] pozmagazine,#askpoz [111] living,#hiv Top Word Pairs in Tweet in G1:
[237] covid,19 [190] #coronavirus,#covid19 [163] poz,pozmagazine [70] people,hiv [67] people,living [59] hiv,aids [58] living,hiv [54] #prep,#prevention [46] issue,poz [42] living,#hiv Top Word Pairs in Tweet in G2:
[1747] #rt,pozmagazine [223] covid,19 [165] #coronavirus,#covid19 [116] pozmagazine,#askpoz [81] hiv,aids [79] poz,pozmagazine [73] pozmagazine,poz [62] œðÿ,œðÿ [51] people,living [49] poz,poll Top Word Pairs in Tweet in G3:
[34] hiv,status [24] living,hiv [19] awarefndngroup,#rt [19] #rt,pozmagazine [17] covid,19 [17] knowing,hiv [17] status,taking [17] taking,bold [17] bold,step [17] step,accepting Top Word Pairs in Tweet in G4:
[29] poz,pozmagazine [16] #aids2020virtual,#aids2020 [16] covid,19 [15] #covid19,vaccine [14] people,#hiv [13] san,francisco [12] awarefndngroup,#rt [12] #rt,pozmagazine [11] long,term [9] francisco,principles Top Word Pairs in Tweet in G5:
[82] poz,pozmagazine [29] covid,19 [19] hiv,aids [19] #poz,#plwh [12] people,living [12] those,living [11] housing,saves [11] saves,lives [11] living,#hiv [11] people,hiv Top Word Pairs in Tweet in G6:
[21] living,hiv [21] poz,pozmagazine [14] people,living [14] global,efforts [14] efforts,address [14] children,falling [14] falling,short [14] covid,19 [14] trentonstraube,pozmagazine [13] benryanwriter,pozmagazine Top Word Pairs in Tweet in G7:
[17] bmore_healthy,mdhealthdept [10] covid,19 [9] pozmagazine,pozglobal [6] bmore_healthy,jhunursing [6] jhunursing,bmore_healthy [5] jhunursing,hopkinsreach [4] pozglobal,pozmagazine [4] mdhealthdept,jhunursing [4] jhunursing,marylandnursing [4] marylandnursing,wjz Top Word Pairs in Tweet in G8:
[110] lambdalegal,pozmagazine [95] goldtrader67,lambdalegal [12] pozmagazine,surgery [11] ctheotter,goldtrader67 [11] llboilly,goldtrader67 [9] sebastianisblu,goldtrader67 [8] jo_g640518_,lambdalegal [6] sashguitars,goldtrader67 [5] trans,women [5] crazycancerlady,goldtrader67 Top Word Pairs in Tweet in G9:
[2] pozmagazine,gileadsciences [2] tpstudios,pozmagazine Top Word Pairs in Tweet in G10:
[26] ø,ø [20] ø,ù [18] ù,ø [9] ù,ù [3] poz,magazine [3] people,living [3] covid,19 [2] ø,ùˆø [2] øµ,ø [2] ø,ùƒø 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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