The graph represents a network of 1,896 Twitter users whose tweets in the requested range contained "#polio", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 16 August 2021 at 02:35 UTC.
The requested start date was Monday, 16 August 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 11-day, 11-hour, 48-minute period from Monday, 02 August 2021 at 00:06 UTC to Friday, 13 August 2021 at 11:54 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 : 1896
Unique Edges : 884
Edges With Duplicates : 2932
Total Edges : 3816
Number of Edge Types : 5
Retweet : 1304
MentionsInRetweet : 1499
Replies to : 148
Mentions : 518
Tweet : 347
Self-Loops : 367
Reciprocated Vertex Pair Ratio : 0.00565610859728507
Reciprocated Edge Ratio : 0.0112485939257593
Connected Components : 358
Single-Vertex Connected Components : 167
Maximum Vertices in a Connected Component : 678
Maximum Edges in a Connected Component : 1959
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.183742
Graph Density : 0.000494862117720406
Modularity : 0.478243
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,896 Twitter users whose tweets in the requested range contained "#polio", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 16 August 2021 at 02:35 UTC.
The requested start date was Monday, 16 August 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 11-day, 11-hour, 48-minute period from Monday, 02 August 2021 at 00:06 UTC to Friday, 13 August 2021 at 11:54 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 : #polio
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:
[992] ø,ø [684] ø,ù [563] ù,ø [261] vaccination,teams [249] ú,ø [241] #polio,vaccination [233] ø,ú [232] take,minute [232] minute,watch [232] watch,incredible Top Word Pairs in Tweet in G1:
[229] take,minute [229] minute,watch [229] watch,incredible [229] incredible,footage [229] footage,#polio [229] #polio,vaccination [229] vaccination,teams [229] teams,crossing [229] crossing,river [229] river,kurram Top Word Pairs in Tweet in G2:
[170] ø,ø [102] ø,ù [91] ù,ø [42] ú,ø [41] û,û [36] ø,û [30] û,ù [28] ø,ú [27] ù,ùˆù [25] ù,ù Top Word Pairs in Tweet in G3:
[90] sub,national [65] national,#polio [57] healthy,#poliofree [56] during,ongoing [55] #poliofree,future [55] health,workers [53] workers,hope [53] hope,happy [53] happy,healthy [53] future,thankyou Top Word Pairs in Tweet in G4:
[148] ø,ø [104] ø,ù [96] ù,ø [28] ú,ø [26] ø,ú [24] #endpolio,#polio [24] û,ù [22] ù,ù [21] ûœø,ø [19] ù,ùˆù Top Word Pairs in Tweet in G5:
[117] debunking,one [117] one,biggest [117] biggest,lies [117] lies,modern [117] modern,virology [117] virology,vaccinology [117] vaccinology,#polio [116] 21wire,debunking [2] reading,one [2] one,moment Top Word Pairs in Tweet in G6:
[57] reaching,critical [57] critical,point [57] point,globally [57] globally,lies [57] lies,#sarscov2 [57] #sarscov2,#vaccines [57] #vaccines,become [57] become,pervasive [57] pervasive,mixed [56] laurie_garrett,reaching Top Word Pairs in Tweet in G7:
[3] thomoneil1,michael_fisher_ [3] michael_fisher_,kristyshl [3] kristyshl,ldogls [3] ldogls,doug_in_nc [3] doug_in_nc,zazzybritches [3] zazzybritches,beltwaymap [3] beltwaymap,sugar1420 [3] sugar1420,gdthor1 [3] gdthor1,regvickers [2] ronnilaurie,thomoneil1 Top Word Pairs in Tweet in G8:
[45] flawed,#who [45] #who,#vaccination [45] #vaccination,policies [45] policies,led [45] led,#polio [45] #polio,paralysis [45] paralysis,india [45] india,1970s [44] greatgameindia,flawed Top Word Pairs in Tweet in G9:
[36] alhamdullillah,sustained [36] sustained,efforts [36] efforts,resulted [36] resulted,phenomenal [36] phenomenal,news [36] news,salute [36] salute,lady [36] lady,health [36] health,workers [36] workers,leas Top Word Pairs in Tweet in G10:
[36] until,week [36] week,believed [36] believed,#covid19 [36] #covid19,primarily [36] primarily,affected [36] affected,children [36] children,ways [36] ways,#polio [36] #polio,nation [35] jenniferreich1,until Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G7:
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: