The graph represents a network of 9,326 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 29 June 2021 at 09:18 UTC.
The requested start date was Tuesday, 29 June 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, 13-minute period from Saturday, 26 June 2021 at 12:15 UTC to Monday, 28 June 2021 at 12:28 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 : 9326
Unique Edges : 4221
Edges With Duplicates : 12418
Total Edges : 16639
Number of Edge Types : 5
Retweet : 5579
MentionsInRetweet : 6110
Tweet : 2940
Mentions : 1653
Replies to : 357
Self-Loops : 3004
Reciprocated Vertex Pair Ratio : 0.00525486074619023
Reciprocated Edge Ratio : 0.0104547830632514
Connected Components : 2436
Single-Vertex Connected Components : 927
Maximum Vertices in a Connected Component : 1720
Maximum Edges in a Connected Component : 3770
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 7.644649
Graph Density : 8.79894716204632E-05
Modularity : 0.520929
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 9,326 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 29 June 2021 at 09:18 UTC.
The requested start date was Tuesday, 29 June 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, 13-minute period from Saturday, 26 June 2021 at 12:15 UTC to Monday, 28 June 2021 at 12:28 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 : Coronavirus
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:
[804] covid,19 [426] coronavirus,cases [332] delta,variant [234] hong,kong [219] variante,delta [198] day,lockdown [197] four,day [195] perth,australia [195] australia,go [195] go,four Top Word Pairs in Tweet in G1:
[115] covid,19 [48] #coronavirus,#covid19 [31] delta,variant [24] #covid19,#coronavirus [21] coronavirus,cases [21] #covid19,#2019ncov [17] variante,delta [13] coronavirus,pandemic [11] contra,coronavirus [10] delta,coronavirus Top Word Pairs in Tweet in G2:
[317] coronavirus,cases [191] perth,australia [191] australia,go [191] go,four [191] four,day [191] day,lockdown [191] lockdown,recording [191] recording,three [191] three,coronavirus [191] cases,two Top Word Pairs in Tweet in G3:
[94] covid,19 [91] vaccines,protect [91] protect,against [90] pfizer,biontech [89] against,coronavirus [88] biontech,moderna [88] moderna,covid [88] 19,vaccines [88] coronavirus,years [88] years,study Top Word Pairs in Tweet in G4:
[50] 自公議員は皆落とすしかない,今日の東京の感染者数は386人で前週を上回り [50] 今日の東京の感染者数は386人で前週を上回り,神奈川も204人 [50] 神奈川も204人,千葉も108人 [50] 千葉も108人,起こってほしくはないが [50] 起こってほしくはないが,デルタ型の感染再拡大の危険性が高い [50] デルタ型の感染再拡大の危険性が高い,五輪強行でワクチン供給減少 [50] 五輪強行でワクチン供給減少,死者を防ぐラストチャンスは [49] masaru_kaneko,自公議員は皆落とすしかない [49] 死者を防ぐラストチャンスは,都議選で自公 [44] 人出の回復がすごい,そしてこれから起ころうしていることに恐怖する Top Word Pairs in Tweet in G5:
[83] hong,kong [58] passenger,flights [58] flights,uk [57] breaking,hong [57] kong,banning [57] banning,passenger [57] uk,curb [57] curb,coronavirus [57] coronavirus,infections [57] infections,calling Top Word Pairs in Tweet in G6:
[17] न,क [14] र,न [12] क,ब [12] क,र [12] म,त [11] द,न [11] स,क [10] म,मल [9] क,म [9] स,न Top Word Pairs in Tweet in G7:
[99] broadcast,journalists [99] journalists,refusal [99] refusal,call [99] call,lies [99] lies,prime [99] prime,minister [99] minister,cabinet [99] cabinet,members [89] members,government [87] peterstefanovi2,broadcast Top Word Pairs in Tweet in G8:
[55] two,week [53] week,lockdown [49] breaking,sydney [49] sydney,announced [49] announced,two [49] lockdown,greater [49] greater,sydney [49] sydney,#deltavariant [49] #deltavariant,re [49] re,going Top Word Pairs in Tweet in G9:
[19] perth,peel [18] peel,plunged [18] plunged,lockdown [18] lockdown,another [18] another,local [18] local,coronavirus [18] coronavirus,case [18] case,detected [15] abcnews,perth [7] coronavirus,cases Top Word Pairs in Tweet in G10:
[30] bangkok,'tuk [30] 'tuk,tuk' [30] tuk',taxi [30] taxi,driver [30] driver,samran [30] samran,thammasa [30] thammasa,never [30] never,heard [30] heard,pop [30] pop,star Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: