The graph represents a network of 3,950 Twitter users whose tweets in the requested range contained "VaccinesWork", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 13 June 2022 at 02:49 UTC.
The requested start date was Monday, 13 June 2022 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 13-day, 23-hour, 58-minute period from Monday, 30 May 2022 at 00:01 UTC to Monday, 13 June 2022 at 00:00 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 : 3950
Unique Edges : 2924
Edges With Duplicates : 8568
Total Edges : 11492
Number of Edge Types : 5
Tweet : 1040
Retweet : 2789
MentionsInRetweet : 4344
Replies to : 320
Mentions : 2999
Self-Loops : 1085
Reciprocated Vertex Pair Ratio : 0.0273334683134238
Reciprocated Edge Ratio : 0.053212455656287
Connected Components : 545
Single-Vertex Connected Components : 258
Maximum Vertices in a Connected Component : 1974
Maximum Edges in a Connected Component : 7973
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.962549
Graph Density : 0.000325286645233051
Modularity : 0.430789
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 3,950 Twitter users whose tweets in the requested range contained "VaccinesWork", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 13 June 2022 at 02:49 UTC.
The requested start date was Monday, 13 June 2022 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 13-day, 23-hour, 58-minute period from Monday, 30 May 2022 at 00:01 UTC to Monday, 13 June 2022 at 00:00 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 : VaccinesWork
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:
[884] ø,ø [599] ø,ù [503] ù,ø [334] ø,ú [291] û,ø [283] ø,û [239] covid,19 [219] û,ù [204] ú,û [199] ú,ø Top Word Pairs in Tweet in G1:
[91] covid,19 [34] 75,emerging [34] emerging,infectious [34] infectious,diseases [27] health,workers [26] primary,healthcare [26] more,75 [26] diseases,humans [26] humans,originate [26] originate,animals Top Word Pairs in Tweet in G2:
[140] #staysafe,#memewar [138] #wearamask,#vaccineswork [138] #womensrights,#bluewave2022 [135] #memewar,#wearamask [134] #vaccineswork,#womensrights [134] #bluewave2022,#gunreformnow [117] #gunreformnowðÿ,#blacklivesmatter [111] #staysafeðÿ,#memewarðÿž [104] #bluewave2022ðÿœš,#gunreformnowðÿ [101] #resistanceunited✚,#votethemout2022ðÿ Top Word Pairs in Tweet in G3:
[22] covid,19 [10] #vaccinessavelives,#vaccineswork [9] #vaccineswork,#vaccinessavelives [8] #covid19,#vaccineswork [7] #covid19,#covid [7] #vaccines,#vaccineswork [7] sa,covid [7] laban,sa [6] getting,vaccinated [6] ang,proteksyon Top Word Pairs in Tweet in G4:
[86] messaging,around [86] around,additional [86] additional,vaccines [86] vaccines,messed [86] messed,evidence [86] evidence,efficacy [86] efficacy,strong [86] strong,52 [85] caulfieldtim,messaging [85] 52,receiving Top Word Pairs in Tweet in G5:
[184] don,find [184] find,sudden [184] sudden,outbreak [184] outbreak,monkeypox [184] monkeypox,curious [184] curious,won [184] won,read [184] read,miss [184] miss,latest [183] johndoe03894805,don Top Word Pairs in Tweet in G6:
[35] cancer,prevention [33] hpv,vaccine [32] hpv,vaccination [32] vaccination,cancer [32] prevention,ask [32] ask,healthcare [32] healthcare,provider [32] provider,hpv [32] vaccine,child [32] child,turns Top Word Pairs in Tweet in G7:
[108] œmore,quarter [108] quarter,million [108] million,infants [108] infants,estimated [108] estimated,died [108] died,due [108] due,pandemic [108] pandemic,response [108] response,induced [108] induced,poverty Top Word Pairs in Tweet in G8:
[23] children,ready [23] ready,summer [23] summer,help [23] help,protect [23] protect,health [23] health,making [23] making,sure [23] sure,routine [23] routine,vaccinations [22] cdcgov,children Top Word Pairs in Tweet in G9:
[27] sk,inadvertently [27] inadvertently,learned [27] learned,during [27] during,last [27] last,shift [27] shift,vaccination [27] vaccination,centre [27] centre,won [27] won,getting [27] getting,4th Top Word Pairs in Tweet in G10:
[12] covid,vaccines [8] athletes,correcting [8] correcting,misinformation [8] misinformation,fake [8] fake,articles [8] articles,covid [7] aboutpediatrics,athletes [7] vaccines,#vaccineswor [4] cjd,experts [4] experts,correlation Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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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:
Top Tweeters in G1:
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Top Tweeters in G10: