The graph represents a network of 4,668 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, 01 June 2020 at 03:47 UTC.
The requested start date was Monday, 01 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 8-hour, 49-minute period from Monday, 18 May 2020 at 01:00 UTC to Sunday, 31 May 2020 at 09:50 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 : 4668
Unique Edges : 1097
Edges With Duplicates : 8700
Total Edges : 9797
Number of Edge Types : 5
Mentions : 615
Retweet : 4240
MentionsInRetweet : 4543
Tweet : 322
Replies to : 77
Self-Loops : 383
Reciprocated Vertex Pair Ratio : 0.00517384105960265
Reciprocated Edge Ratio : 0.0102944204241301
Connected Components : 291
Single-Vertex Connected Components : 147
Maximum Vertices in a Connected Component : 2595
Maximum Edges in a Connected Component : 5455
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.077746
Graph Density : 0.000222945882124835
Modularity : 0.45343
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 4,668 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, 01 June 2020 at 03:47 UTC.
The requested start date was Monday, 01 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 8-hour, 49-minute period from Monday, 18 May 2020 at 01:00 UTC to Sunday, 31 May 2020 at 09:50 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 G2:
[1812] #polio,#vaccine [1812] lotusoak2,#polio [1812] polio,paralysis [1812] bill,gates [1812] doctors,bill [1812] gates,#polio [1812] #vaccine,created [1812] created,deadly [1812] deadly,'super [1812] 'super,polio' Top Word Pairs in Tweet in G3:
[376] día,dejó [169] dejó,julio [146] julio,falleció [138] falleció,histórico [135] histórico,militante [135] militante,#asturias [135] #asturias,aquilinio [135] aquilinio,#polio [135] #polio,#mieres [135] #mieres,1928 Top Word Pairs in Tweet in G4:
[312] र,य [312] क,ल [312] 80,million [312] द,र [312] भ,रत [312] रत,क [312] million,children [312] children,under [312] व,क [312] क,द Top Word Pairs in Tweet in G5:
[74] #polio,#vaccines [73] #measles,#polio [59] covid,19 [58] #covid,19 [55] भ,रत [55] #polio,#vaccine [46] क,ल [45] bill,gates [42] iron,lung [42] victory,over Top Word Pairs in Tweet in G6:
[11] #endpolio,#polio [10] #vaccineswork,#publichealth [7] #polio,#vaccineswork [7] poliovirus,vaccine [7] #covid19,stark [7] stark,reminder [7] reminder,#immunization [7] #immunization,services [7] services,continued [6] continued,reduce Top Word Pairs in Tweet in G7:
[24] #mother,loses [18] loses,leg [16] leg,#trauma [8] #trauma,writes [8] writes,published [8] published,37 [8] 37,#romancenovel [8] #romancenovel,different [8] katiemettner,#mother [8] different,# Top Word Pairs in Tweet in G8:
[117] close,#polio [117] #polio,elimination [117] elimination,hundreds [117] hundreds,millions [117] millions,spent [117] spent,those [117] those,gains [117] gains,lost [110] amymaxmen,close [110] lost,#co Top Word Pairs in Tweet in G9:
[49] widespread,interruption [49] interruption,routine [49] routine,immunization [49] immunization,programs [49] programs,around [49] around,world [49] world,during [49] during,#coronavirus [48] #coronavirus,pandemic [48] microbesinfect,widespread Top Word Pairs in Tweet in G10:
[53] jonas,salk [53] salk,eugenicist [53] eugenicist,dysgenicist [53] dysgenicist,#polio [53] #polio,#rockefeller [53] #rockefeller,#healthmafia [53] 99freemind,jonas [53] unlimited,arrived [53] richardsyrett,ep [52] ep,398 Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G6:
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: