The graph represents a network of 653 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 Sunday, 28 February 2021 at 16:07 UTC.
The requested start date was Saturday, 27 February 2021 at 01:01 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 13-day, 20-hour, 3-minute period from Saturday, 13 February 2021 at 03:47 UTC to Friday, 26 February 2021 at 23:51 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 : 653
Unique Edges : 1066
Edges With Duplicates : 1296
Total Edges : 2362
Number of Edge Types : 5
Mentions : 1129
Tweet : 131
Retweet : 319
MentionsInRetweet : 635
Replies to : 148
Self-Loops : 133
Reciprocated Vertex Pair Ratio : 0.147947327652982
Reciprocated Edge Ratio : 0.257759784075574
Connected Components : 12
Single-Vertex Connected Components : 6
Maximum Vertices in a Connected Component : 632
Maximum Edges in a Connected Component : 2336
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.567727
Graph Density : 0.00348086697545073
Modularity : 0.367616
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 653 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 Sunday, 28 February 2021 at 16:07 UTC.
The requested start date was Saturday, 27 February 2021 at 01:01 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 13-day, 20-hour, 3-minute period from Saturday, 13 February 2021 at 03:47 UTC to Friday, 26 February 2021 at 23:51 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:
[109] healthcare,pharma [71] pharma,comms [58] pr,week [35] week,prweekuknews [35] social,media [34] best,use [33] covid,19 [33] comms,awards [28] pharma,campaign [24] public,affairs Top Word Pairs in Tweet in G1:
[53] healthcare,pharma [36] pharma,comms [18] comms,pros [17] public,affairs [17] prweek,healthcare [17] comms,awards [16] internal,comms [15] awards,winners [14] social,media [13] covid,19 Top Word Pairs in Tweet in G2:
[19] arvindhickman,prweekuknews [18] social,media [16] pr,week [13] pr,cup [11] healthcare,pharma [10] week,prweekuknews [10] winter,series [10] pr,agency [10] agency,espresso [10] five,clients Top Word Pairs in Tweet in G3:
[18] healthcare,pharma [11] pharma,comms [9] taking,home [8] prweekuknews,taking [8] #prwhealthcarepharma,awards [8] number,17 [8] 17,campaign [8] campaign,#iamnumber17 [7] covid,19 [7] campaign,raise Top Word Pairs in Tweet in G4:
[5] great,piece [5] piece,jamesmacintosh [5] prweekuknews,arvindhickman [5] prweekuknews,ogilvyuk [5] ogilvyuk,ogilvy [5] ogilvy,wpp [4] jamesmacintosh,hopeandglorypr [4] hopeandglorypr,prweekuknews [4] prweekuknews,#beansmemesheinz [4] #beansmemesheinz,#pr Top Word Pairs in Tweet in G5:
[21] pr,week [16] week,prweekuknews [12] healthcare,pharma [10] pharma,comms [8] well,done [5] comms,awards [5] guide,working [5] working,health [5] health,journalists [4] prweekuknews,healthcare Top Word Pairs in Tweet in G6:
[4] prweekuknews,hsbc [4] hsbc,named [4] named,first [4] first,taylor [4] taylor,bennett [4] bennett,corporate [4] corporate,partner [4] diversity,drive [4] top,25 [4] 25,influential Top Word Pairs in Tweet in G7:
[10] sparklypinchy,prweekuknews [7] best,use [7] healthcare,pharma [7] sarahscalesb2l,bellrachel [7] mrmichaelfro,gilesfraser [7] gilesfraser,sarahscalesb2l [6] use,#socialmedia [6] influencers,healthcare [6] pharma,campaign [6] prweekuknews,davidbrain Top Word Pairs in Tweet in G8:
[6] fortunate,part [6] part,prweekuknews [6] prweekuknews,wipruk [6] wipruk,mentoring [6] mentoring,scheme [6] scheme,2020 [6] 2020,21 [6] 21,encourage [6] encourage,welsh [5] frankiec85,fortunate Top Word Pairs in Tweet in G9:
[16] xalegendary1,prweekuknews [16] ayobamisugar_,grachidex [14] prweekuknews,ouchenna11 [14] ouchenna11,ayobamisugar_ [13] grachidex,therealgeeeeee [13] therealgeeeeee,theonlybusola [8] to_ny_jr,xalegendary1 [3] grachidex,theonlybusola [2] aakinoluwa,xalegendary1 [2] prweekuknews,ayobamisugar_ Top Word Pairs in Tweet in G10:
[3] monday,come [3] come,fast [3] fast,enough [3] enough,welcome [3] welcome,family [3] family,clairemslight [3] clairemslight,going [3] going,one [3] one,hell [3] hell,ride Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: