The graph represents a network of 2,213 Twitter users whose tweets in the requested range contained "publicrelations", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 22 June 2022 at 05:38 UTC.
The requested start date was Wednesday, 22 June 2022 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 13-day, 18-hour, 52-minute period from Wednesday, 08 June 2022 at 00:37 UTC to Tuesday, 21 June 2022 at 19:30 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 : 2213
Unique Edges : 1497
Edges With Duplicates : 3438
Total Edges : 4935
Number of Edge Types : 5
Tweet : 1508
Retweet : 1054
MentionsInRetweet : 1229
Mentions : 1066
Replies to : 78
Self-Loops : 1605
Reciprocated Vertex Pair Ratio : 0.0485651214128035
Reciprocated Edge Ratio : 0.0926315789473684
Connected Components : 716
Single-Vertex Connected Components : 392
Maximum Vertices in a Connected Component : 380
Maximum Edges in a Connected Component : 1355
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.182456
Graph Density : 0.000388138804973733
Modularity : 0.422328
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,213 Twitter users whose tweets in the requested range contained "publicrelations", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 22 June 2022 at 05:38 UTC.
The requested start date was Wednesday, 22 June 2022 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 13-day, 18-hour, 52-minute period from Wednesday, 08 June 2022 at 00:37 UTC to Tuesday, 21 June 2022 at 19:30 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 : publicrelations
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:
[332] #pr,#publicrelations [240] #publicrelations,#pr [236] public,relations [94] sos,sos [66] #publicrelations,#marketing [66] #publicrelations,#eastwestpr [63] social,media [63] #marketing,#pr [60] #eastwestpr,#getnoticed [59] #marketing,#publicrelations Top Word Pairs in Tweet in G1:
[90] #publicrelations,#pr [71] #pr,#publicrelations [66] public,relations [40] #businesstips,#marketing [31] #pr,#marketing [26] #press,#media [26] #media,#news [26] #photography,#journalism [26] #covid,#instagram [26] #instagram,#magazine Top Word Pairs in Tweet in G2:
[85] #pr,#publicrelations [66] #publicrelations,#pr [49] #publicrelations,#prweek [27] #publicrelations,#prdaily [26] public,relations [15] read,more [14] #publicrelations,#mediarelations [13] social,media [12] #publicrelations,pros [11] #prstrategy,#marketingstrategy Top Word Pairs in Tweet in G3:
[3] disclosureuap,wapflondon [3] wapflondon,criticalsway [3] criticalsway,bell00david [3] bell00david,realgeorgewebb1 [3] realgeorgewebb1,ozraeliavi [3] ozraeliavi,lewis_brackpool [3] lewis_brackpool,therealrukshan [2] september,28 [2] 28,2021 [2] independent,year Top Word Pairs in Tweet in G4:
[50] lfx160219,#kf51 Top Word Pairs in Tweet in G5:
[92] sos,sos [46] sos,still [46] still,help [46] help,needed [46] needed,massive [46] massive,#marketing [46] #marketing,#pr [46] #pr,project [46] project,#mecfs [46] #mecfs,#longcovid Top Word Pairs in Tweet in G6:
[33] #pr,#publicrelations [23] ways,pr [23] pr,agencies [23] agencies,help [23] businesses,#pr [23] #publicrelations,#pragency [23] #pragency,#pressrelease [16] help,improve [16] improve,businesses [13] public,relations Top Word Pairs in Tweet in G7:
[20] public,relations [15] master,successful [15] successful,#brand [15] #brand,know [15] know,audience [15] audience,authenticity [15] authenticity,king [15] king,remain [15] remain,patient [15] patient,#publicrelations Top Word Pairs in Tweet in G8:
[32] quick,reminder [32] reminder,press [32] press,agency [32] agency,journalist [32] journalist,writing [32] writing,national [32] national,papers [32] papers,more [32] more,happy [32] happy,sent Top Word Pairs in Tweet in G9:
[3] salmonscotland,mairigougeon [3] mairigougeon,sustain_aqua [3] sustain_aqua,kirstysnp [3] kirstysnp,iasgairmuir [3] iasgairmuir,alexmacinnessnp [3] alexmacinnessnp,thegaaia [3] thegaaia,richardlylesnp [2] protectourshore,salmonscotland [2] richardlylesnp,mareet [2] xpeng_aeroht,1005 Top Word Pairs in Tweet in G10:
[48] #pr,#publicrelations [13] comms,creator [13] creator,economy [13] economy,tap [13] tap,one [13] one,biggest [13] biggest,disruptors [13] disruptors,pr [13] pr,space [8] work,house Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
Top Replied-To in G8:
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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 G5:
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Top Tweeters in G10: