The graph represents a network of 1,676 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, 31 August 2020 at 12:21 UTC.
The requested start date was Monday, 31 August 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 90-day, 23-hour, 33-minute period from Monday, 01 June 2020 at 00:11 UTC to Sunday, 30 August 2020 at 23:45 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 : 1676
Unique Edges : 2948
Edges With Duplicates : 10398
Total Edges : 13346
Number of Edge Types : 5
Tweet : 1118
Mentions : 7286
Retweet : 1614
MentionsInRetweet : 2974
Replies to : 354
Self-Loops : 1129
Reciprocated Vertex Pair Ratio : 0.0810746552543985
Reciprocated Edge Ratio : 0.149989003738729
Connected Components : 37
Single-Vertex Connected Components : 32
Maximum Vertices in a Connected Component : 1633
Maximum Edges in a Connected Component : 13294
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.682503
Graph Density : 0.00161970576710718
Modularity : 0.210889
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 1,676 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, 31 August 2020 at 12:21 UTC.
The requested start date was Monday, 31 August 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 90-day, 23-hour, 33-minute period from Monday, 01 June 2020 at 00:11 UTC to Sunday, 30 August 2020 at 23:45 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:
[1906] #rt,pozmagazine [641] covid,19 [511] poz,pozmagazine [385] #coronavirus,#covid19 [231] people,living [204] living,hiv [185] hiv,aids [181] people,hiv [134] pozmagazine,#askpoz [127] living,#hiv Top Word Pairs in Tweet in G1:
[1833] #rt,pozmagazine [470] covid,19 [373] #coronavirus,#covid19 [272] poz,pozmagazine [143] people,living [138] people,hiv [134] pozmagazine,#askpoz [127] living,hiv [122] hiv,aids [122] #prep,#prevention Top Word Pairs in Tweet in G2:
[80] #hiv,#plhiv [80] #plhiv,#sciencenotstigma [74] #sciencenotstigma,pozmagazine [50] covid,19 [33] people,living [27] living,hiv [24] awarefndngroup,#rt [24] #rt,pozmagazine [21] living,#hiv [19] long,term Top Word Pairs in Tweet in G3:
[122] poz,pozmagazine [43] covid,19 [18] people,living [17] #aids2020virtual,#aids2020 [17] gatesfoundation,melindagates [16] people,#hiv [15] hiv,aids [13] need,know [13] #covid19,vaccine [13] people,hiv Top Word Pairs in Tweet in G4:
[28] covid,19 [26] poz,pozmagazine [25] living,hiv [24] hiv,aids [20] people,living [18] global,efforts [18] efforts,address [18] children,falling [18] falling,short [18] #rt,pozmagazine Top Word Pairs in Tweet in G5:
[57] poz,pozmagazine [24] covid,19 [18] #poz,#plwh [14] bmore_healthy,mdhealthdept [13] pozmagazine,#hiv [12] people,hiv [11] pozmagazine,pozglobal [10] #hiv,epidemic [9] living,#hiv [8] people,living Top Word Pairs in Tweet in G6:
[5] please,#canadian [5] #canadian,#african [5] #african,friend [5] friend,carlos [5] carlos,idibouo [5] idibouo,wear [5] wear,mask [4] michaelpetrelis,please [4] mask,stop [4] stop,#coronaviruspandemic Top Word Pairs in Tweet in G7:
[107] lambdalegal,pozmagazine [92] goldtrader67,lambdalegal [12] pozmagazine,surgery [11] health,care [11] llboilly,goldtrader67 [9] sebastianisblu,goldtrader67 [8] jo_g640518_,lambdalegal [8] ctheotter,goldtrader67 [6] protect,health [6] care,#stoptherule Top Word Pairs in Tweet in G8:
[12] #istandwithfauci,#istandwithfauci [10] recent,findings [10] findings,#emorycfar [10] #emorycfar,members [10] members,sudhir [10] sudhir,kasturi [10] kasturi,rafi [10] rafi,ahmed [10] ahmed,emoryvaccinectr [9] emorycfar,recent Top Word Pairs in Tweet in G9:
[26] ø,ø [20] ø,ù [18] ù,ø [9] ù,ù [3] people,living [3] covid,19 [2] plus,vite [2] fools,going [2] going,wake [2] wake,36 Top Word Pairs in Tweet in G10:
[10] awarefndngroup,#rt [10] #rt,pozmagazine [9] pozmagazine,lizcancerhealth [5] #undetectableman,jacen_zhu [5] jacen_zhu,#endtheepidemic [5] #endtheepidemic,achieving [5] achieving,maintaining [5] maintaining,undetectable [5] undetectable,hiv [5] hiv,viral Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: