The graph represents a network of 11,804 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 Wednesday, 15 December 2021 at 08:48 UTC.
The requested start date was Wednesday, 15 December 2021 at 01:01 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, 2-minute period from Sunday, 12 December 2021 at 12:17 UTC to Tuesday, 14 December 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 : 11804
Unique Edges : 6643
Edges With Duplicates : 11728
Total Edges : 18371
Number of Edge Types : 5
Retweet : 5365
MentionsInRetweet : 6092
Tweet : 3254
Replies to : 1047
Mentions : 2613
Self-Loops : 3302
Reciprocated Vertex Pair Ratio : 0.00340027627244714
Reciprocated Edge Ratio : 0.00677750714815207
Connected Components : 3369
Single-Vertex Connected Components : 898
Maximum Vertices in a Connected Component : 1503
Maximum Edges in a Connected Component : 3172
Maximum Geodesic Distance (Diameter) : 30
Average Geodesic Distance : 9.060303
Graph Density : 6.77779426070479E-05
Modularity : 0.5853
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 11,804 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 Wednesday, 15 December 2021 at 08:48 UTC.
The requested start date was Wednesday, 15 December 2021 at 01:01 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, 2-minute period from Sunday, 12 December 2021 at 12:17 UTC to Tuesday, 14 December 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:
[2045] covid,19 [192] leadership,management [177] during,covid [164] boris,johnson [159] covid,vaccine [158] contra,covid [149] management,team [144] team,year [141] positive,covid [127] died,covid Top Word Pairs in Tweet in G1:
[279] covid,19 [39] leadership,management [32] contra,covid [22] 19,pandemic [20] proud,share [20] share,#kiit [20] #kiit,university [20] university,presented [20] presented,#the [20] #the,award Top Word Pairs in Tweet in G2:
[36] vaccine,passports [35] against,covid [33] revolution,televised [33] rises,against [33] covid,mandates [28] maajidnawaz,revolution [26] mandates,#resist [21] covid,certification [20] covid,19 [16] passports,covid Top Word Pairs in Tweet in G3:
[32] south,africa [24] covid,cases [22] cases,south [22] africa,declined [22] declined,days [22] days,running [22] running,translate [22] translate,million [22] million,cases [22] cases,day Top Word Pairs in Tweet in G4:
[57] covid,19 [16] pfizer,covid [15] covid,pill [12] good,news [11] antiviral,pill [11] high,risk [10] final,analysis [10] end,year [9] very,good [9] news,morning Top Word Pairs in Tweet in G5:
[25] first,uk [25] uk,death [25] death,recorded [25] recorded,omicron [25] omicron,variant [25] variant,yes [25] yes,people [25] people,die [25] die,covid [25] covid,includes Top Word Pairs in Tweet in G7:
[18] covid,19 [8] breaking,news [8] news,pfizer [8] pfizer,trials [8] trials,covid [8] covid,pill [8] pill,confirmed [8] confirmed,helped [8] helped,stave [8] stave,severe Top Word Pairs in Tweet in G8:
[151] leadership,management [128] management,team [122] team,year [94] during,covid [68] year,selfless [56] covid,pandemic [54] timeshighered,leadership [45] awards,asia [41] #kiitleads,achyuta_samanta [38] society,during Top Word Pairs in Tweet in G9:
[47] politicsforali,breaking [45] initial,covid [44] breaking,first [44] first,world [44] world,analysis [44] analysis,omicron [44] omicron,africa [44] africa,shows [44] shows,29 [44] 29,milder Top Word Pairs in Tweet in G10:
[40] covid,deaths [36] deaths,europe [36] europe,greatest [36] greatest,economic [36] economic,hit [36] hit,g7 [36] g7,farming [36] farming,fishing [36] fishing,devastated [36] devastated,12bn 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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