The graph represents a network of 9,209 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 Friday, 02 December 2022 at 08:15 UTC.
The requested start date was Friday, 02 December 2022 at 01:01 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, 14-minute period from Tuesday, 29 November 2022 at 12:03 UTC to Thursday, 01 December 2022 at 12:17 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 : 9209
Unique Edges : 4148
Edges With Duplicates : 12586
Total Edges : 16734
Number of Edge Types : 5
Retweet : 5815
MentionsInRetweet : 6559
Tweet : 2404
Replies to : 516
Mentions : 1440
Self-Loops : 2477
Reciprocated Vertex Pair Ratio : 0.00560152768936983
Reciprocated Edge Ratio : 0.0111406507152804
Connected Components : 2267
Single-Vertex Connected Components : 824
Maximum Vertices in a Connected Component : 2336
Maximum Edges in a Connected Component : 5572
Maximum Geodesic Distance (Diameter) : 35
Average Geodesic Distance : 13.351682
Graph Density : 9.31524603995317E-05
Modularity : 0.523606
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 9,209 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 Friday, 02 December 2022 at 08:15 UTC.
The requested start date was Friday, 02 December 2022 at 01:01 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, 14-minute period from Tuesday, 29 November 2022 at 12:03 UTC to Thursday, 01 December 2022 at 12:17 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:
[6487] covid,19 [410] 19,misinformation [386] wuhan,china [382] enforcing,covid [368] years,ago [365] feeling,ill [365] china,starts [365] ago,today [365] starts,feeling [365] later,becomes Top Word Pairs in Tweet in G1:
[788] covid,19 [36] 19,pandemic [32] contra,covid [25] 19,booster [25] during,covid [23] #aniesdidukungkhilafah,#reuni212tidakperlulagi [23] #htifpidukunganies,#aniesdidukungkhilafah [23] #reuni212tidakperlulagi,#reuni212ditunggangikelompokradikal [23] #reuni212ditunggangikelompokradikal,#reuni212politikaniesbaswedan [22] #reuni212politikaniesbaswedan,#aniespendukungkhilafah Top Word Pairs in Tweet in G2:
[431] covid,19 [357] ago,today [357] confirmed,case [357] feeling,ill [357] later,becomes [357] wuhan,china [357] 19,more [357] today,man [357] becomes,first [357] china,starts Top Word Pairs in Tweet in G3:
[463] covid,19 [206] combate,covid [206] mascarilla,vacunas [206] combinación,mascarilla [206] mejor,combinación [206] vacunas,sé [206] sé,consciente [206] 19,mejor [206] #prevención,combate [204] consciente,cuídate Top Word Pairs in Tweet in G4:
[160] covid,19 [50] attached,japanese [50] resume,attached [50] fukushima,resume [50] harming,immune [50] masanori,fukushima [50] ministry,covid [50] 19,jab [50] japanese,health [50] legendary,dr Top Word Pairs in Tweet in G5:
[152] covid,19 [133] enforcing,covid [133] january,2020 [133] 19,misinformation [133] reports,january [133] breaking,twitter [133] twitter,reports [133] misinformation,policy [133] longer,enforcing [133] policy,twitter Top Word Pairs in Tweet in G6:
[66] covid,19 [58] plateau,cyrilhanouna [58] cyrilhanouna,20h10 [58] 20h10,tpmp [58] sanction,mon [58] soir,plateau [58] mon,encontre [58] reviendrai,sanction [58] ce,soir [58] retrouvez,ce Top Word Pairs in Tweet in G7:
[133] covid,19 [82] 19,misinformation [82] misinformation,policy [67] enforcing,covid [67] stopped,enforcing [67] alx,breaking [67] policy,november [67] november,23rd [67] breaking,twitter [67] twitter,stopped Top Word Pairs in Tweet in G8:
[96] covid,19 [86] 19,vaccine [83] line,covid [83] bottom,line [82] vaccine,prevent [82] transmission,biden [82] prevent,infection [82] admin,force [82] biden,admin [82] infection,transmission Top Word Pairs in Tweet in G9:
[58] covid,19 [16] non,vaccinés [16] contre,covid [16] soignants,non [11] faire,vacciner [11] cadeaux,aux [11] villes,offrir [11] vacciner,contre [11] vaccinés,contre [11] offrir,cadeaux Top Word Pairs in Tweet in G10:
[100] 19,palliative [100] covid,19 [77] peter,obi [76] dear,nigerians [76] vote,peter [76] under,cares [76] palliative,under [76] cares,vote [76] before,vote [76] vote,remember Top Replied-To in Entire Graph:
Top Replied-To in G2:
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: