The graph represents a network of 10,226 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, 31 May 2021 at 07:19 UTC.
The requested start date was Monday, 31 May 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, 2-minute period from Friday, 28 May 2021 at 12:18 UTC to Sunday, 30 May 2021 at 12:20 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 : 10226
Unique Edges : 4825
Edges With Duplicates : 13301
Total Edges : 18126
Number of Edge Types : 5
Retweet : 6127
MentionsInRetweet : 6887
Tweet : 2945
Replies to : 286
Mentions : 1881
Self-Loops : 2987
Reciprocated Vertex Pair Ratio : 0.00437737587835503
Reciprocated Edge Ratio : 0.00871659593990137
Connected Components : 2544
Single-Vertex Connected Components : 787
Maximum Vertices in a Connected Component : 1525
Maximum Edges in a Connected Component : 3343
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.795759
Graph Density : 8.33868508146213E-05
Modularity : 0.536382
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 10,226 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, 31 May 2021 at 07:19 UTC.
The requested start date was Monday, 31 May 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, 2-minute period from Friday, 28 May 2021 at 12:18 UTC to Sunday, 30 May 2021 at 12:20 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:
[6662] covid,19 [387] 19,vaccine [344] contra,covid [256] road,10k [254] 10k,trending [254] trending,jijik [254] jijik,sungguh [254] sungguh,ingat [254] ingat,dalam [254] dalam,setiap Top Word Pairs in Tweet in G1:
[671] covid,19 [36] contra,covid [30] 19,vaccine [22] 19,pandemic [19] 19,cases [18] 19,vaccination [17] 28,2021 [16] grants,usa [16] usa,nonprofits [16] nonprofits,tribes Top Word Pairs in Tweet in G2:
[162] covid,19 [34] र,न [23] time,covid [21] क,र [20] dinesh,upadhyay [20] upadhyay,ji [20] ji,belongs [20] belongs,jaunpur [20] jaunpur,driving [20] driving,truck Top Word Pairs in Tweet in G3:
[234] road,10k [234] 10k,trending [234] trending,jijik [234] jijik,sungguh [234] sungguh,ingat [234] ingat,dalam [234] dalam,setiap [234] setiap,angka [234] angka,itu [234] itu,ada Top Word Pairs in Tweet in G4:
[201] covid,19 [86] frontliners,although [86] although,many [86] many,sleepless [86] sleepless,nights [86] nights,experienced [86] experienced,chronic [86] chronic,fatigue [86] fatigue,wipe [86] wipe,tears Top Word Pairs in Tweet in G5:
[267] covid,19 [178] rana,ayyub [176] ayyub,ends [176] 19,fundraiser [176] fundraiser,potential [176] potential,illegality [176] illegality,exposed [176] exposed,returns [176] returns,money [176] money,foreign Top Word Pairs in Tweet in G6:
[224] covid,19 [100] mufti,perak [100] perak,sri [99] rasmi,khabar [99] khabar,sedih [99] sedih,mufti [99] sri,dr [99] dr,harussani [99] harussani,meninggal [99] meninggal,dunia Top Word Pairs in Tweet in G7:
[68] covid,19 [13] origins,covid [13] 19,vaccines [10] informed,consent [10] consent,related [10] related,covid [10] vaccines,instead [10] instead,mass [10] mass,censorship [10] censorship,celebrity Top Word Pairs in Tweet in G8:
[87] syeikh,abdurrahman [87] abdurrahman,sudais [87] sudais,dan [87] dan,syeikh [87] syeikh,abdullah [87] abdullah,ben [87] ben,bayyah [87] bayyah,antara [87] antara,tokoh [87] tokoh,ulama' Top Word Pairs in Tweet in G9:
[124] covid,19 [121] man,made [119] 19,credible [119] credible,natural [119] natural,ancestor [119] ancestor,unique [119] unique,fingerprints [119] fingerprints,man [119] made,manipulation [119] manipulation,retro Top Word Pairs in Tweet in G10:
[60] covid,19 [54] first,worst [54] worst,thing [54] thing,lockdown [54] lockdown,14 [54] 14,june [53] zamirmohyedin,first [52] dah,cecah [48] tidak,gagal [26] kes,dah Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: