The graph represents a network of 11,935 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 Thursday, 20 January 2022 at 11:01 UTC.
The requested start date was Thursday, 20 January 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, 2-minute period from Monday, 17 January 2022 at 12:18 UTC to Wednesday, 19 January 2022 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 : 11935
Unique Edges : 6804
Edges With Duplicates : 11460
Total Edges : 18264
Number of Edge Types : 5
Replies to : 982
Retweet : 5281
MentionsInRetweet : 6046
Tweet : 3685
Mentions : 2270
Self-Loops : 3726
Reciprocated Vertex Pair Ratio : 0.00400534045393859
Reciprocated Edge Ratio : 0.00797872340425532
Connected Components : 3890
Single-Vertex Connected Components : 1120
Maximum Vertices in a Connected Component : 627
Maximum Edges in a Connected Component : 1528
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.886032
Graph Density : 6.3356420092663E-05
Modularity : 0.578947
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 11,935 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 Thursday, 20 January 2022 at 11:01 UTC.
The requested start date was Thursday, 20 January 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, 2-minute period from Monday, 17 January 2022 at 12:18 UTC to Wednesday, 19 January 2022 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
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:
[1792] covid,19 [208] covid,cases [205] contra,covid [181] covid,tests [121] due,covid [115] tested,positive [108] free,covid [107] positive,covid [106] covid,test [105] covid,positive Top Word Pairs in Tweet in G1:
[291] covid,19 [30] contra,covid [16] teste,covid [13] covid,tests [12] pra,covid [12] casos,covid [11] covid,test [11] positivo,covid [10] long,covid [9] pandemia,covid Top Word Pairs in Tweet in G2:
[69] covid,cases [56] gate,2022 [51] eduminofindia,iitkgp [50] postpone,gate [49] increasing,day [49] day,day [47] cases,increasing [45] day,difficult [45] difficult,time [45] time,urge Top Word Pairs in Tweet in G3:
[14] taux,létalité [14] létalité,covid [12] covid,19 [12] covid,france [12] france,désormais [12] désormais,c'est [12] c'est,exactement [12] exactement,même [12] même,taux [12] taux,grippe Top Word Pairs in Tweet in G4:
[69] covid,19 [13] 19,deaths [11] against,covid [10] tonga,struggles [10] struggles,clean [10] clean,reconnect [10] reconnect,world [10] world,volcanic [10] volcanic,eruption [10] eruption,set Top Word Pairs in Tweet in G5:
[32] fraudulent,covid [31] written,billion [31] billion,fraudulent [30] rishi,sunak [27] sunak,written [27] covid,loans [27] loans,bet [27] bet,government [27] government,wouldn [27] wouldn,casual Top Word Pairs in Tweet in G6:
[15] long,covid [9] pm,never [9] never,seems [9] seems,aware [9] aware,government [9] government,guidance [9] guidance,aware [9] aware,events [9] events,taking [9] taking,place Top Word Pairs in Tweet in G7:
[32] fraudulently,claim [22] covid,loan [21] israel,quadruple [21] quadruple,vaxxed [21] vaxxed,country [21] country,world [21] world,using [21] using,mask [21] mask,mandates [21] mandates,covid Top Word Pairs in Tweet in G8:
[26] please,postpone [22] covid,19 [17] covid,cases [17] ecisveep,notice [17] notice,#arvindkejriwal [17] #arvindkejriwal,violating [17] violating,covid [17] 19,norms [17] norms,piece [17] piece,paper Top Word Pairs in Tweet in G9:
[6] covid,19 [3] gop,thedemocrats [2] wyag1981,unite [2] unite,news [2] news,put [2] put,lighters [2] lighters,study [2] study,finds [2] finds,cannabis [2] cannabis,block Top Word Pairs in Tweet in G10:
[33] covid,need [33] need,stand [33] stand,close [33] close,grocery [33] grocery,store [33] store,honestly [32] 1sassywife,covid [17] tested,positive [17] positive,covid [13] utah,gop Top Replied-To in Entire Graph:
Top Replied-To in G2:
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: