The graph represents a network of 8,300 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - 5 April) of 8645 tweet IDs, or who were replied to or mentioned in those tweets. 7832 out of 8645 tweets were collected. The network was obtained from Twitter on Saturday, 10 October 2020 at 10:35 UTC.
The tweets in the network were tweeted over the 23-hour, 58-minute period from Sunday, 05 April 2020 at 00:00 UTC to Sunday, 05 April 2020 at 23:58 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 : 8300
Unique Edges : 12895
Edges With Duplicates : 1783
Total Edges : 14678
Self-Loops : 2221
Reciprocated Vertex Pair Ratio : 0.00628343381166681
Reciprocated Edge Ratio : 0.0124883976035778
Connected Components : 1752
Single-Vertex Connected Components : 1034
Maximum Vertices in a Connected Component : 4588
Maximum Edges in a Connected Component : 10068
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.621333
Graph Density : 0.000172048599265117
Modularity : 0.786897
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 8,300 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - 5 April) of 8645 tweet IDs, or who were replied to or mentioned in those tweets. 7832 out of 8645 tweets were collected. The network was obtained from Twitter on Saturday, 10 October 2020 at 10:35 UTC.
The tweets in the network were tweeted over the 23-hour, 58-minute period from Sunday, 05 April 2020 at 00:00 UTC to Sunday, 05 April 2020 at 23:58 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 : TwitterIDList
Graph Term : Tweet ID List - covid19uk - 5 April
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[652] covid,19 [528] during,covid [524] here,s [522] please,use [519] share,widely [513] use,share [512] s,short [512] short,guide [512] guide,compassionate [512] compassionate,phone Top Word Pairs in Tweet in G1:
[49] #coronavirus,#covid19uk [47] #covid19,#covid19uk [44] don,t [43] stay,home [42] #covid19uk,#coronavirusuk [42] #covid19uk,#coronavirus [41] #covid2019,#covid19uk [41] #coronavirusuk,#covid19uk [32] #stayhomesavelives,#covid19uk [27] #covid19uk,#stayhomesavelives Top Word Pairs in Tweet in G2:
[108] experts,gov [107] help,beat [107] beat,#covid19uk [106] keir,hope [106] hope,behind [106] behind,experts [106] gov,help [106] #covid19uk,unlike [106] unlike,toxic [106] toxic,grandpa Top Word Pairs in Tweet in G3:
[506] here,s [506] s,short [506] short,guide [506] guide,compassionate [506] compassionate,phone [506] phone,communication [506] communication,sharing [506] sharing,uncertainty [506] uncertainty,during [506] during,covid Top Word Pairs in Tweet in G4:
[275] last,much [275] much,needed [275] needed,good [275] good,news [275] news,#coronavirus [275] #coronavirus,crisis [275] crisis,#covid19uk [275] #covid19uk,#marr [47] back,essential [47] essential,outing Top Word Pairs in Tweet in G5:
[86] thank,thank [43] #paramedic,#radiographer [43] #radiographer,#physiotherapist [43] #physiotherapist,essential [43] essential,#ahps [43] #ahps,treating [43] treating,#covid19uk [43] #covid19uk,part [43] part,multi [43] multi,professional Top Word Pairs in Tweet in G6:
[131] anyone,looking [131] looking,forward [131] forward,nicola [131] nicola,sturgeon's [131] sturgeon's,#covid19uk [131] #covid19uk,update [131] update,14 [131] 14,30 [131] 30,today [131] today,normally Top Word Pairs in Tweet in G7:
[104] help,beat [104] beat,#covid19uk [104] #covid19uk,usual [104] usual,please [104] please,retweet [104] retweet,widen [104] widen,survey [104] survey,sample [98] today,sunday [98] sunday,5th Top Word Pairs in Tweet in G8:
[18] chief,medical [17] medical,officer [11] 12,334 [9] don,t [9] people,pmld [9] pmld,families [9] #covid19uk,#coronavirus [9] people,scotland [8] scotland,cathcalderwood1 [8] #covid19uk,nicolasturgeon Top Word Pairs in Tweet in G9:
[158] rare,televised [158] televised,address [158] address,queen [158] queen,elizabeth [158] elizabeth,hope [158] hope,years [158] years,come [158] come,everyone [158] everyone,take [158] take,pride Top Word Pairs in Tweet in G10:
[77] t,help [77] help,feel [77] feel,best [77] best,outcome [77] outcome,#catherinecalderwood [77] #catherinecalderwood,situation [77] situation,very [77] very,accomplished [77] accomplished,person [77] person,job Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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 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 G8:
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: