The graph represents a network of 11,430 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 Tuesday, 15 September 2020 at 09:00 UTC.
The requested start date was Tuesday, 15 September 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, 1-minute period from Thursday, 10 September 2020 at 07:04 UTC to Saturday, 12 September 2020 at 07:05 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 : 11430
Unique Edges : 6751
Edges With Duplicates : 11549
Total Edges : 18300
Number of Edge Types : 5
Retweet : 5152
MentionsInRetweet : 6259
Tweet : 3576
Mentions : 2462
Replies to : 851
Self-Loops : 3605
Reciprocated Vertex Pair Ratio : 0.00433886538670138
Reciprocated Edge Ratio : 0.00864024192677395
Connected Components : 3515
Single-Vertex Connected Components : 1013
Maximum Vertices in a Connected Component : 1498
Maximum Edges in a Connected Component : 3277
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 8.212627
Graph Density : 7.08777007913822E-05
Modularity : 0.580014
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 11,430 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 Tuesday, 15 September 2020 at 09:00 UTC.
The requested start date was Tuesday, 15 September 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, 1-minute period from Thursday, 10 September 2020 at 07:04 UTC to Saturday, 12 September 2020 at 07:05 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:
[3306] covid,19 [181] covid,cases [166] died,covid [136] people,died [125] 19,pandemic [119] due,covid [102] covid,testing [102] 19,cases [95] against,covid [95] never,forget Top Word Pairs in Tweet in G1:
[634] covid,19 [26] 19,pandemic [22] 19,cases [21] during,covid [18] penyebaran,covid [15] contra,covid [13] क,र [12] penanganan,covid [12] memakai,masker [12] menjaga,jarak Top Word Pairs in Tweet in G2:
[143] covid,19 [42] knew,covid [36] died,covid [29] trump,knew [28] weekly,reports [28] people,died [27] more,000 [27] 000,people [27] covid,yesterday [27] yesterday,realdonaldtrump Top Word Pairs in Tweet in G3:
[34] covid,cases [28] covid,19 [26] pmoindia,drrpnishank [26] drrpnishank,swamy39 [24] anubha1812,pmoindia [21] swamy39,message [21] message,student [21] student,ma'am [21] ma'am,gave [21] gave,jee Top Word Pairs in Tweet in G4:
[36] please,download [35] good,morning [35] morning,haven [35] haven,already [35] already,please [35] download,today [35] today,encourage [35] encourage,friends [34] nicolasturgeon,good [34] friends,fa Top Word Pairs in Tweet in G5:
[44] covid,19 [35] modi,govt [29] against,covid [27] well,planned [27] planned,fight [27] fight,against [26] #postponeacf,rahulgandhi [25] govt,well [25] covid,put [25] put,india Top Word Pairs in Tweet in G6:
[15] trace,system [14] covid,19 [14] boy,standing [14] standing,front [14] front,website [14] website,apparently [14] apparently,world [14] world,beating [14] beating,test [14] test,track Top Word Pairs in Tweet in G7:
[63] bombshell,reporting [63] reporting,propaganda [63] propaganda,over [63] over,science [63] science,immoral [63] immoral,dangerous [63] dangerous,considered [63] considered,american [62] danrather,bombshell [26] covid,19 Top Word Pairs in Tweet in G8:
[41] covid,19 [10] penanganan,covid [7] rem,darurat [6] anies,baswedan [6] penyebaran,covid [6] pak,jokowi [5] melawan,covid [5] satgas,covid [4] covid,dki [4] diangkat,jadi Top Word Pairs in Tweet in G9:
[44] died,covid [22] friends,parents [22] parents,died [22] covid,covid [22] covid,related [22] related,issues [22] issues,parents [22] parents,hospital [22] hospital,one [22] one,kids Top Word Pairs in Tweet in G10:
[45] covid,19 [16] toronto,reuters [16] reuters,canada [16] canada,reported [16] reported,zero [16] zero,covid [16] 19,deaths [16] deaths,past [16] past,24 [16] 24,hours Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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:
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Top Tweeters in G10: