The graph represents a network of 12,146 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 16 September 2021 at 09:53 UTC.
The requested start date was Thursday, 16 September 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 0-hour, 1-minute period from Monday, 13 September 2021 at 12:18 UTC to Wednesday, 15 September 2021 at 12:19 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 : 12146
Unique Edges : 6884
Edges With Duplicates : 11873
Total Edges : 18757
Number of Edge Types : 5
Retweet : 5358
MentionsInRetweet : 6277
Tweet : 3511
Replies to : 1080
Mentions : 2531
Self-Loops : 3551
Reciprocated Vertex Pair Ratio : 0.00463792558237588
Reciprocated Edge Ratio : 0.00923302906305739
Connected Components : 3667
Single-Vertex Connected Components : 987
Maximum Vertices in a Connected Component : 1555
Maximum Edges in a Connected Component : 3298
Maximum Geodesic Distance (Diameter) : 29
Average Geodesic Distance : 10.958752
Graph Density : 6.46111801407291E-05
Modularity : 0.583474
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 12,146 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 16 September 2021 at 09:53 UTC.
The requested start date was Thursday, 16 September 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 0-hour, 1-minute period from Monday, 13 September 2021 at 12:18 UTC to Wednesday, 15 September 2021 at 12:19 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 : COVID
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:
[2490] covid,19 [373] died,covid [198] contra,covid [193] 19,vaccine [188] covid,vaccine [145] covid,cases [116] against,covid [94] due,covid [91] covid,deaths [87] children,died Top Word Pairs in Tweet in G1:
[331] covid,19 [27] covid,vaccine [24] 19,vaccine [23] contra,covid [18] covid,cases [16] covid,test [16] died,covid [14] against,covid [10] anti,covid [10] due,covid Top Word Pairs in Tweet in G2:
[31] occupydemocrats,breaking [29] cities,counties [28] republican,governor [22] fine,cities [22] counties,require [22] require,employees [22] employees,vaccinated [22] vaccinated,against [20] florida's,republican [20] governor,fine Top Word Pairs in Tweet in G3:
[73] died,covid [71] 11,children [71] children,shot [71] shot,chicago [71] chicago,weekend [71] weekend,died [71] died,zero [71] zero,children [71] children,died [71] covid,media Top Word Pairs in Tweet in G4:
[55] covid,19 [22] died,covid [12] veronica,wolski [12] wolski,woman [12] woman,became [12] became,well [12] well,known [12] known,online [12] online,anti [12] anti,mask Top Word Pairs in Tweet in G5:
[39] covid,19 [25] worst,thing [25] thing,covid [25] 19,cruelty [25] cruelty,brought [25] brought,many [25] many,people [25] people,once [25] once,thought [24] nototyrannynow,worst Top Word Pairs in Tweet in G6:
[38] covid,19 [11] unvaccinated,people [10] vladimir,putin [10] india's,top [9] top,science [9] science,agency [9] agency,tailored [9] findings,fit [9] greece,introduced [9] introduced,measures Top Word Pairs in Tweet in G7:
[26] six,months [26] months,hospital [26] hospital,including [26] including,six [26] six,weeks [26] weeks,ventilator [26] ventilator,huge [26] huge,amount [26] amount,hard [26] hard,work Top Word Pairs in Tweet in G8:
[25] tucker,carlson [15] covid,19 [14] died,covid [12] covid,vaccines [11] carlson,telling [11] telling,audience [11] audience,covid [11] vaccines,mixed [11] mixed,picture [11] picture,tucker Top Word Pairs in Tweet in G9:
[82] covid,waiting [82] waiting,take [82] take,mask [81] jenniemandu1_,covid [12] venues,checking [12] checking,covid [12] covid,pass [11] ladbible,venues Top Word Pairs in Tweet in G10:
[11] health,secretary [9] tory,backbenches [9] backbenches,#pmqs [9] #pmqs,mask [9] mask,sight [9] sight,ok [9] ok,health [9] secretary,catch [8] government,plan [8] plan,unsustainable Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: