The graph represents a network of 12,323 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, 05 August 2020 at 07:47 UTC.
The requested start date was Wednesday, 05 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 2-day, 0-hour, 0-minute period from Sunday, 02 August 2020 at 12:22 UTC to Tuesday, 04 August 2020 at 12:23 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 : 12323
Unique Edges : 7244
Edges With Duplicates : 11815
Total Edges : 19059
Number of Edge Types : 5
Retweet : 5516
MentionsInRetweet : 6509
Tweet : 3508
Replies to : 898
Mentions : 2628
Self-Loops : 3544
Reciprocated Vertex Pair Ratio : 0.00408788962698007
Reciprocated Edge Ratio : 0.00814249363867684
Connected Components : 3752
Single-Vertex Connected Components : 960
Maximum Vertices in a Connected Component : 2011
Maximum Edges in a Connected Component : 4098
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 8.871335
Graph Density : 6.47045626549131E-05
Modularity : 0.590745
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 12,323 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, 05 August 2020 at 07:47 UTC.
The requested start date was Wednesday, 05 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 2-day, 0-hour, 0-minute period from Sunday, 02 August 2020 at 12:22 UTC to Tuesday, 04 August 2020 at 12:23 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:
[3859] covid,19 [195] contra,covid [175] positive,covid [148] tested,positive [120] amit,shah [100] p15,billion [100] 19,cases [93] 19,pandemic [92] illegal,late [92] late,night Top Word Pairs in Tweet in G1:
[451] covid,19 [19] positive,covid [16] during,covid [14] contra,covid [13] 19,pandemic [11] tests,positive [11] 19,cases [10] due,covid [9] amit,shah [9] home,minister Top Word Pairs in Tweet in G2:
[90] illegal,late [90] late,night [90] night,coup [90] coup,nevada [90] nevada,clubhouse [90] clubhouse,governor [90] governor,made [90] made,impossible [90] impossible,republicans [90] republicans,win Top Word Pairs in Tweet in G3:
[107] covid,19 [28] home,minister [23] speedy,recovery [23] shri,amitshah [22] amitshah,ji [15] amit,shah [15] minister,shri [14] tested,positive [13] क,र [13] union,home Top Word Pairs in Tweet in G4:
[134] covid,19 [44] contra,covid [15] #covid,19 [14] centro,centinela [12] batalla,contra [12] últimas,24 [11] pacientes,asintomáticos [11] asintomáticos,covid [11] pdte,nicolasmaduro [10] 24,horas Top Word Pairs in Tweet in G5:
[34] covid,19 [22] nursing,homes [19] patients,nursing [18] treating,covid [17] infected,patients [17] effective,treating [16] discovered,government [16] government,media [16] media,officials [16] officials,knew Top Word Pairs in Tweet in G6:
[28] dr,fauci [24] arizona,superintendent [24] superintendent,governor [24] governor,told [24] told,open [24] open,miss [24] miss,funding [24] funding,covid [23] gonna,really [23] really,hard Top Word Pairs in Tweet in G7:
[27] covid,19 [8] covid,update [8] update,august [7] gov,greg [7] greg,abbott [6] biden,reset [6] reset,need [6] need,covid [6] covid,70 [6] 70,000 Top Word Pairs in Tweet in G8:
[22] covid,19 [8] personal,salud [7] 20,fallecidos [7] fallecidos,covid [7] 19,venezuela [7] venezuela,personal [7] salud,cifra [7] cifra,altísima [7] altísima,cifra [7] cifra,habla Top Word Pairs in Tweet in G9:
[29] covid,19 [9] georgia's,largest [9] largest,school [9] school,district [9] district,confirmed [9] confirmed,around [9] around,260 [9] 260,employees [9] employees,tested [9] tested,positive Top Word Pairs in Tweet in G10:
[46] covid,19 [34] back,home [32] 3613,tested [32] tested,covid [32] covid,discharged [32] discharged,back [32] home,solitary [32] solitary,quarantine [32] quarantine,grace [32] grace,almighty Top Replied-To in Entire Graph:
Top Replied-To in G2:
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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: