The graph represents a network of 11,287 Twitter users whose tweets in the requested range contained "COVID-19", 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 07:20 UTC.
The requested start date was Monday, 03 August 2020 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 4-day, 0-hour, 1-minute period from Wednesday, 29 July 2020 at 12:24 UTC to Sunday, 02 August 2020 at 12:25 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 : 11287
Unique Edges : 6113
Edges With Duplicates : 12573
Total Edges : 18686
Number of Edge Types : 5
Retweet : 5805
MentionsInRetweet : 6744
Tweet : 3482
Replies to : 437
Mentions : 2218
Self-Loops : 3539
Reciprocated Vertex Pair Ratio : 0.00474142683868122
Reciprocated Edge Ratio : 0.00943810359964881
Connected Components : 3339
Single-Vertex Connected Components : 980
Maximum Vertices in a Connected Component : 1447
Maximum Edges in a Connected Component : 3051
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 8.182448
Graph Density : 7.15311389445116E-05
Modularity : 0.56036
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 11,287 Twitter users whose tweets in the requested range contained "COVID-19", 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 07:20 UTC.
The requested start date was Monday, 03 August 2020 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 4-day, 0-hour, 1-minute period from Wednesday, 29 July 2020 at 12:24 UTC to Sunday, 02 August 2020 at 12:25 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-19
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:
[7037] covid,19 [281] positive,covid [214] tested,positive [201] 19,cases [172] 19,pandemic [148] contra,covid [146] positif,covid [141] home,minister [131] 19,test [127] amit,shah Top Word Pairs in Tweet in G1:
[776] covid,19 [27] positive,covid [24] 19,pandemic [24] amit,shah [23] #covid,19 [19] home,minister [17] 19,cases [17] tests,positive [14] tested,positive [14] क,र Top Word Pairs in Tweet in G2:
[223] covid,19 [76] home,minister [47] union,home [46] amitshah,ji [41] tested,positive [38] speedy,recovery [35] saved,impacts [35] impacts,covid [35] 19,think [35] think,sop Top Word Pairs in Tweet in G3:
[223] covid,19 [42] contra,covid [32] casos,covid [28] 19,#diosdadopalantevenceremos [22] 24,horas [20] últimas,24 [17] 834,casos [16] comunitarios,35 [15] 35,importados [13] vicepresidente,comunicación Top Word Pairs in Tweet in G4:
[134] covid,19 [44] treat,covid [44] social,media [39] medical,degree [33] treated,covid [32] practicing,physicians [31] thread,organized [31] organized,group [31] group,practicing [31] physicians,many Top Word Pairs in Tweet in G5:
[114] covid,19 [16] #hydroxychloroquine,sake [16] sake,high [16] high,risk [16] risk,patients [16] patients,sake [16] sake,parents [16] parents,grandparents [16] grandparents,sake [15] tomfitton,#hydroxychloroquine Top Word Pairs in Tweet in G6:
[127] covid,19 [67] dr,fauci [30] florida,sheriffs [30] sheriffs,attended [30] attended,conference [30] conference,week [30] week,covid [30] 19,infected [30] infected,colleague [30] colleague,met Top Word Pairs in Tweet in G7:
[98] covid,19 [16] positive,covid [15] home,minister [11] testing,positive [11] russia,planning [11] planning,mass [11] mass,covid [11] 19,vaccination [11] vaccination,campaign [11] campaign,october Top Word Pairs in Tweet in G8:
[104] covid,19 [54] state,ohio [40] treatment,covid [32] mos,appeals [32] appeals,taken [32] taken,down [32] down,google [32] google,finally [32] finally,uncensored [32] uncensored,initial Top Word Pairs in Tweet in G9:
[128] covid,19 [51] nothing,stop [51] stop,casting [51] casting,vote [51] vote,joe [51] joe,biden [51] biden,covid [51] 19,long [51] long,lines [51] lines,mail Top Word Pairs in Tweet in G10:
[140] covid,19 [84] father,thankfully [84] thankfully,tested [84] tested,negative [84] negative,latest [84] latest,covid [84] 19,test [84] test,discharged [84] discharged,hospital [83] juniorbachchan,father 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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