The graph represents a network of 2,388 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, 19 January 2022 at 06:47 UTC.
The requested start date was Wednesday, 19 January 2022 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, 18-hour, 4-minute period from Wednesday, 05 January 2022 at 01:32 UTC to Tuesday, 18 January 2022 at 19:36 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 : 2388
Unique Edges : 1916
Edges With Duplicates : 4058
Total Edges : 5974
Number of Edge Types : 5
Tweet : 1631
Retweet : 1170
MentionsInRetweet : 1802
Mentions : 1297
Replies to : 74
Self-Loops : 1720
Reciprocated Vertex Pair Ratio : 0.0516637478108581
Reciprocated Edge Ratio : 0.0982514571190675
Connected Components : 779
Single-Vertex Connected Components : 417
Maximum Vertices in a Connected Component : 585
Maximum Edges in a Connected Component : 2223
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 5.596762
Graph Density : 0.000421391975938904
Modularity : 0.428567
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,388 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, 19 January 2022 at 06:47 UTC.
The requested start date was Wednesday, 19 January 2022 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, 18-hour, 4-minute period from Wednesday, 05 January 2022 at 01:32 UTC to Tuesday, 18 January 2022 at 19:36 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:
[324] #pr,#publicrelations [214] public,relations [175] #publicrelations,#pr [98] #publicrelations,#marketing [78] #marketing,#publicrelations [70] #publicrelations,#eastwestpr [69] #eastwestpr,#getnoticed [60] reading,#publicrelations [55] read,more [50] social,media Top Word Pairs in Tweet in G1:
[78] #publicrelations,#pr [63] #pr,#publicrelations [58] public,relations [35] #marketing,#publicrelations [27] helen,salt [27] salt,helen [27] helen,blackcherryrecruitment [27] blackcherryrecruitment,co [27] co,uk [23] #pr,#marketing Top Word Pairs in Tweet in G2:
[74] #pr,#publicrelations [41] #techpr,#publicrelations [39] #publicrelations,#pr [36] #publicrelations,#prstrategy [32] #prstrategy,#marketingstrategy [30] public,relations [29] #marketingstrategy,#marketing [29] #marketing,#digitalmarketing [29] #digitalmarketing,#contentstrategy [27] #publicrelations,#prweek Top Word Pairs in Tweet in G3:
[60] reading,#publicrelations [48] charlesfrize,reading [43] #novel,abt [43] abt,life [43] life,#publicrelations [43] #publicrelations,hell [39] #branding,#publicrelations [39] epic,#novel [35] later,year [34] #marketing,#branding Top Word Pairs in Tweet in G4:
[44] 1pm,wat [41] tomorrow,1pm [37] lessons,learnt [35] hosted,whirlspotmedia [33] 3pm,eat [26] kfc,vs [26] vs,kenyans [26] kenyans,potato [26] potato,faceoff [24] topic,lessons Top Word Pairs in Tweet in G5:
[6] #job,board [6] check,#tlfimpact [5] pr,team [4] #tlfimpact,#advertising [4] #advertising,#marketing [4] team,prepared [4] prepared,#crisis [4] #crisis,prnews [4] prnews,article [4] article,takes Top Word Pairs in Tweet in G6:
[30] diy,guide [30] guide,free [30] free,publicity [30] #businessbooks,#publicrelations [27] #pr,#prbooks [27] #prbooks,#businessbooks [24] book,diy [22] second,book [17] today,#pr [13] order,amazon Top Word Pairs in Tweet in G7:
[11] vineet,handa [10] handa,vineetalways [10] vineetalways,geared [10] geared,pr [10] pr,industry [10] industry,rollercoaster [10] rollercoaster,ride [10] ride,ahead [10] ahead,2022 [10] 2022,adgully Top Word Pairs in Tweet in G8:
[4] pressure,growing [4] growing,#publicrelations [4] #publicrelations,firms [4] firms,#advertising [4] #advertising,agencies [4] agencies,others [4] others,drop [4] drop,#fossilfuel [4] #fossilfuel,clients [4] clients,#cdnecon Top Word Pairs in Tweet in G9:
[8] #publicrelations,#communications [7] #pr,#publicrelations [3] #publicrelations,#marketing [3] social,media [3] disney,fans [3] fans,angered [3] angered,chapeks [3] chapeks,mission [3] mission,statement [3] statement,#disney Top Word Pairs in Tweet in G10:
[18] godseye543,rsprasad [18] rsprasad,pmoindia [18] pmoindia,ncpcr_ [18] ncpcr_,officeofrsp [18] officeofrsp,amitshah [18] amitshah,amitshahoffice [18] amitshahoffice,hmoindia [18] hmoindia,mdwcd [18] mdwcd,bjp4india [18] bjp4india,childline1098 Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G5:
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Top Replied-To in G7:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
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: