The graph represents a network of 488 Twitter users whose tweets in the requested range contained "prweekuknews", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 22 May 2021 at 14:49 UTC.
The requested start date was Saturday, 22 May 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 6-day, 11-hour, 49-minute period from Saturday, 08 May 2021 at 07:45 UTC to Friday, 14 May 2021 at 19:35 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 : 488
Unique Edges : 743
Edges With Duplicates : 1103
Total Edges : 1846
Number of Edge Types : 5
Mentions : 1009
Retweet : 210
MentionsInRetweet : 505
Tweet : 59
Replies to : 63
Self-Loops : 60
Reciprocated Vertex Pair Ratio : 0.125659978880676
Reciprocated Edge Ratio : 0.223264540337711
Connected Components : 6
Single-Vertex Connected Components : 4
Maximum Vertices in a Connected Component : 482
Maximum Edges in a Connected Component : 1839
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.976396
Graph Density : 0.00448547480391827
Modularity : 0.385794
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 488 Twitter users whose tweets in the requested range contained "prweekuknews", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 22 May 2021 at 14:49 UTC.
The requested start date was Saturday, 22 May 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 6-day, 11-hour, 49-minute period from Saturday, 08 May 2021 at 07:45 UTC to Friday, 14 May 2021 at 19:35 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 : prweekuknews
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:
[57] category,#purposeawardsemea [43] campaign,category [38] cause,campaign [34] prweekus,prweekuknews [32] campaignmag,prweekuknews [31] prweekuknews,thirdsector [31] iccopr,prsa [30] purposeawdsemea,shortlisted [30] prsa,prweekus [27] pr,week Top Word Pairs in Tweet in G1:
[15] best,places [15] places,work [13] prweek,best [13] work,awards [12] awards,winners [12] covid,19 [11] journalists,urge [11] urge,prs [11] prs,'stop [11] 'stop,relentless Top Word Pairs in Tweet in G2:
[55] category,#purposeawardsemea [42] campaign,category [37] cause,campaign [32] campaignmag,prweekuknews [31] prweekuknews,thirdsector [28] purposeawdsemea,shortlisted [19] shortlisted,brand [18] brand,led [18] led,best [18] ngo,best Top Word Pairs in Tweet in G3:
[10] study,journalists [10] journalists,urge [10] urge,prs [10] prs,'stop [10] 'stop,relentless [10] relentless,chasing' [10] chasing',call [10] call,haven't [10] haven't,previously [10] previously,established Top Word Pairs in Tweet in G4:
[11] pr,week [11] week,prweekuknews [11] mental,health [8] good,see [8] see,toriesincomms [8] toriesincomms,_lisa_townsend [8] _lisa_townsend,john_cope [8] john_cope,chantelle_dev [8] chantelle_dev,joseph [8] joseph,baum Top Word Pairs in Tweet in G5:
[11] #mentoring,scheme [9] wipruk,prweekuknews [7] second,year [7] year,re [7] re,pleased [7] pleased,bring [7] bring,legendary [7] legendary,wipruk [7] prweekuknews,#mentoring [7] scheme,#wales Top Word Pairs in Tweet in G7:
[8] nhsimprovement,nhsengland [8] nhsengland,swlstg [8] simonenright,james___lyons [8] james___lyons,nhscommsorg [6] nhscommsorg,nhselect [6] swlstg,nhscommsdev [6] nhscommsdev,simonenright [5] nhselect,wres_team [5] wres_team,blackmindsmatt [5] blackmindsmatt,blackthrivelbth Top Word Pairs in Tweet in G8:
[34] prweekus,prweekuknews [31] iccopr,prsa [30] prsa,prweekus [27] brand24,amecorg [27] amecorg,iccopr [18] andismit,brand24 [17] prweekuknews,gojohnab [14] stuartbruce,startsnakken [13] startsnakken,brand24 [11] jamescrawford,stuartbruce Top Word Pairs in Tweet in G9:
[4] very,karlawinch [4] karlawinch,given [4] given,prweekuknews [4] prweekuknews,inside [4] inside,scoop [4] scoop,'money [4] 'money,positive' [4] positive',campaign [4] campaign,experian_uk [4] experian_uk,cl Top Word Pairs in Tweet in G10:
[4] week,#iamnumber17 [4] #iamnumber17,campaign [4] campaign,takedapharma [4] takedapharma,four [4] four,more [4] more,award [4] award,short [4] short,listings [4] listings,such [4] such,special Top Replied-To in Entire Graph:
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Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: