The graph represents a network of 5,792 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, 09 May 2022 at 02:52 UTC.
The requested start date was Monday, 09 May 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 11-day, 17-hour, 46-minute period from Wednesday, 27 April 2022 at 06:14 UTC to Monday, 09 May 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 : 5792
Unique Edges : 3013
Edges With Duplicates : 12255
Total Edges : 15268
Number of Edge Types : 5
Replies to : 269
Mentions : 2111
Tweet : 1877
Retweet : 5003
MentionsInRetweet : 6008
Self-Loops : 1934
Reciprocated Vertex Pair Ratio : 0.0226764135461734
Reciprocated Edge Ratio : 0.0443471918307805
Connected Components : 775
Single-Vertex Connected Components : 382
Maximum Vertices in a Connected Component : 3930
Maximum Edges in a Connected Component : 12419
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.244169
Graph Density : 0.000204373856937465
Modularity : 0.432674
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,792 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, 09 May 2022 at 02:52 UTC.
The requested start date was Monday, 09 May 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 11-day, 17-hour, 46-minute period from Wednesday, 27 April 2022 at 06:14 UTC to Monday, 09 May 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:
[439] immunization,week [437] #longlifeforall,#vaccineswork [386] world,immunization [304] ù,ø [295] covid,19 [285] semaine,mondiale [285] mondiale,vaccination [225] #vaccineswork,#avw2022 [219] ø,ø [218] vaccine,preventable Top Word Pairs in Tweet in G1:
[177] #vaccineswork,#avw2022 [85] #covid19,pandemic [82] routine,immunization [75] covid,19 [65] vaccine,preventable [61] cost,effective [54] preventable,diseases [45] #longlifeforall,#vaccineswork [42] #investinugchildren,#vaccineswork [41] during,#covid19 Top Word Pairs in Tweet in G2:
[103] #vaccineswork,safe [103] children,preventable [103] preventable,illnesses [100] protect,millions [100] millions,children [99] #covid19,related [99] related,disruptions [99] disruptions,lack [99] lack,access [99] access,vaccines Top Word Pairs in Tweet in G3:
[22] covid,19 [20] routine,vaccinations [20] #vaccineswork,#vaccinessavelives [18] #longlifeforall,#vaccineswork [16] find,more [15] #worldimmunisationweek,remind [15] remind,people [15] people,importance [15] importance,routine [13] immunization,week Top Word Pairs in Tweet in G4:
[72] vaccinate,kids [72] kids,appear [72] appear,sick [72] sick,hospitalization [72] hospitalization,relatively [72] relatively,low [72] low,whilst [71] denovo_fatima,vaccinate [68] whilst,man [66] vaccines,help Top Word Pairs in Tweet in G5:
[31] immunization,week [29] world,immunization [22] deaths,year [18] #longlifeforall,#vaccineswork [16] #vaccineswork,#longlifeforall [16] short,video [15] learn,#vaccineswork [15] year,learn [14] #vaccineswork,#publichealth [14] children,learn Top Word Pairs in Tweet in G6:
[146] protection,protection [99] protect,health [97] strongest,tool [97] tool,protect [97] health,wellbeing [97] wellbeing,children [94] 4266,strongest [94] children,vaccines [93] srbachchan,4266 [93] vaccines,prote Top Word Pairs in Tweet in G7:
[54] make,sure [47] caught,routine [46] children,catch [46] catch,trying [46] trying,climb [46] climb,top [46] top,make [46] sure,theyâ [46] theyâ,re [46] re,caught Top Word Pairs in Tweet in G8:
[51] covid,19 [32] 19,vaccines [32] vaccines,still [32] still,effective [32] effective,gidmk [32] gidmk,many [32] many,many [32] many,viral [32] viral,claims [32] claims,#pfizer Top Word Pairs in Tweet in G9:
[34] uk,disease [34] disease,cases [23] international,#dayofimmunology [21] happy,international [18] #dayofimmunology,huge [18] huge,thank [18] thank,#immunologists [18] #immunologists,championing [18] championing,critical [18] critical,role Top Word Pairs in Tweet in G10:
[30] support,#sb866 [27] #vaccineswork,#vaccinessavelives [19] anti,#vaccine [16] #cmadocs,proud [16] proud,stand [16] stand,immunizeca [16] immunizeca,dblumbergpedsid [16] dblumbergpedsid,strong [16] strong,support [16] #sb866,thank Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: