The graph represents a network of 1,671 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, 03 August 2020 at 12:20 UTC.
The requested start date was Monday, 03 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 93-day, 11-hour, 55-minute period from Friday, 01 May 2020 at 00:15 UTC to Sunday, 02 August 2020 at 12:10 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 : 1671
Unique Edges : 2771
Edges With Duplicates : 11530
Total Edges : 14301
Number of Edge Types : 5
Retweet : 1760
Replies to : 399
Mentions : 7657
MentionsInRetweet : 3396
Tweet : 1089
Self-Loops : 1100
Reciprocated Vertex Pair Ratio : 0.0854007633587786
Reciprocated Edge Ratio : 0.157362637362637
Connected Components : 45
Single-Vertex Connected Components : 38
Maximum Vertices in a Connected Component : 1613
Maximum Edges in a Connected Component : 14223
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.645759
Graph Density : 0.00163049126164189
Modularity : 0.195229
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 1,671 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, 03 August 2020 at 12:20 UTC.
The requested start date was Monday, 03 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 93-day, 11-hour, 55-minute period from Friday, 01 May 2020 at 00:15 UTC to Sunday, 02 August 2020 at 12:10 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:
[1265] #rt,pozmagazine [723] covid,19 [563] poz,pozmagazine [376] #coronavirus,#covid19 [174] people,living [166] living,hiv [142] people,hiv [137] londonpatient,pozmagazine [119] hiv,aids [115] gatesfoundation,melindagates Top Word Pairs in Tweet in G1:
[408] covid,19 [324] poz,pozmagazine [279] #coronavirus,#covid19 [76] people,hiv [71] #prep,#prevention [67] people,living [66] day,2020 [65] living,hiv [61] awareness,day [52] issue,poz Top Word Pairs in Tweet in G2:
[1224] #rt,pozmagazine [184] covid,19 [147] poz,pozmagazine [89] pozmagazine,#askpoz [81] #coronavirus,#covid19 [63] people,living [63] living,hiv [50] people,hiv [46] hiv,aids [46] pozmagazine,poz Top Word Pairs in Tweet in G3:
[49] covid,19 [25] poz,pozmagazine [17] #aids2020virtual,#aids2020 [17] pozmagazine,stevefda [17] #covid19,#hiv [17] awarefndngroup,#rt [17] #rt,pozmagazine [16] stevefda,gileadsciences [13] people,#hiv [12] #covid19,pozmagazine Top Word Pairs in Tweet in G4:
[137] londonpatient,pozmagazine [115] gatesfoundation,melindagates [107] pozmagazine,viivhc [105] melindagates,defeathiv [104] defeathiv,fredhutch [104] fredhutch,amfar [81] viivhc,sfaidsfound [81] sfaidsfound,aidsaction [81] aidsaction,thelancethiv [75] nedcody2,gatesfoundation Top Word Pairs in Tweet in G5:
[11] living,#hiv [8] #poz,#plwh [6] covid,19 [6] bmore_healthy,mdhealthdept [5] pozmagazine,#hiv [5] #hiv,epidemic [5] ppl,living [4] poz,pozmagazine [4] jhunursing,hopkinsreach [4] end,#hiv 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:
[12] #istandwithfauci,#istandwithfauci [9] 6dm4,talia_mota [9] talia_mota,hivma [9] hivma,hivpxresearch [9] recent,findings [9] findings,#emorycfar [9] #emorycfar,members [9] members,sudhir [9] sudhir,kasturi [9] kasturi,rafi Top Word Pairs in Tweet in G8:
[26] ø,ø [20] ø,ù [18] ù,ø [9] ù,ù [8] covid,19 [4] living,hiv [3] people,living [2] plus,vite [2] fools,going [2] going,wake Top Word Pairs in Tweet in G9:
[3] well,done [2] pozmagazine,cdc [2] cdc,covid [2] covid,19 [2] 19,result [2] result,prolonged [2] prolonged,illness [2] illness,young [2] young,adults [2] adults,#coronavirus Top Word Pairs in Tweet in G10:
[8] alyssaarentoft,lalgbtcenter [8] lalgbtcenter,aplahealth [8] aplahealth,lapride [8] lapride,sfvlgbt [8] sfvlgbt,blackaids [8] blackaids,pozmagazine [8] pozmagazine,tohelpeveryone [8] tohelpeveryone,nevhc [5] many,thanks [5] thanks,pozmagazine 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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