The graph represents a network of 3,443 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, 17 June 2020 at 05:54 UTC.
The requested start date was Wednesday, 17 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 7-minute period from Wednesday, 03 June 2020 at 00:04 UTC to Tuesday, 16 June 2020 at 23:12 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 : 3443
Unique Edges : 2839
Edges With Duplicates : 5054
Total Edges : 7893
Number of Edge Types : 5
Retweet : 1668
Tweet : 1852
MentionsInRetweet : 2341
Mentions : 1853
Replies to : 179
Self-Loops : 1965
Reciprocated Vertex Pair Ratio : 0.0745323741007194
Reciprocated Edge Ratio : 0.138725227637922
Connected Components : 982
Single-Vertex Connected Components : 523
Maximum Vertices in a Connected Component : 640
Maximum Edges in a Connected Component : 2118
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.545363
Graph Density : 0.000315084054198508
Modularity : 0.477863
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 3,443 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, 17 June 2020 at 05:54 UTC.
The requested start date was Wednesday, 17 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 7-minute period from Wednesday, 03 June 2020 at 00:04 UTC to Tuesday, 16 June 2020 at 23:12 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 G2:
[79] 2000,coverages [46] #sundayvibes,#lockdownlessons [43] icc_pr,2000 [42] #lockdownlessons,#iccpl [40] #iccpl,#publicrelations [38] during,lockdown [36] icc_pr,#contestalert [35] coverages,iccpl [31] iccpl,during [30] #contestalert,many Top Word Pairs in Tweet in G3:
[153] still,time [146] time,book [141] book,ticket [141] ticket,part [141] part,conversation [138] #pr,#publicrelations [85] theprfest,prfest [80] prfest,kicks [80] kicks,next [77] next,wednesday Top Word Pairs in Tweet in G4:
[55] #pr,#publicrelations [55] online,reputation [55] reputation,management [55] #publicrelations,#buildyourbrand [55] #publicrelations,#communications [50] #buildyourbrand,#entrepreneurmindset [34] #entrepreneurmindset,#businesstips [32] #businesstips,#socialmediabranding [30] #reputationmanagement,#publicrelations [30] takelessons,offers Top Word Pairs in Tweet in G5:
[7] #pr,#publicrelations [7] learned,along [6] along,way [5] pr,lessons [4] lessons,learned [4] amazon,books [4] #publicrelations,#pr [4] #pr,#newreleases [4] #highered,#nonprofit [4] order,#publicrelations Top Word Pairs in Tweet in G6:
[36] health,crisis [13] second,article [13] article,series [10] series,impact [10] impact,health [10] crisis,covid19 [10] covid19,professionals [10] professionals,agencies [10] agencies,communication [9] naolerp,second Top Word Pairs in Tweet in G7:
[36] #publicrelations,#communications [32] #avsonix,#guilin [32] #guilin,#lijiang [32] #lijiang,#yangshuo [32] #yangshuo,#guangxi [32] #guangxi,#china [32] #china,#lipalace [32] #lipalace,#international [32] #international,#business [31] #business,#publicrelations Top Word Pairs in Tweet in G8:
[33] great,tips [31] communicators,leverage [31] leverage,emerging [31] emerging,technology [31] #marketing,#publicrelations [31] diversity,inclusion [31] prnews,examines [31] examines,intricacies [31] intricacies,brands [31] brands,addressing Top Word Pairs in Tweet in G9:
[9] during,lockdown [9] icc_pr,2000 [9] 2000,coverages [9] coverages,during [8] lockdown,#contestalert [8] #contestalert,#sundayvibes [7] #sundayvibes,#lockdownlessons [7] #lockdownlessons,#iccpl [7] #iccpl,#publicrelations [7] #publicrelations,icc_pr Top Word Pairs in Tweet in G10:
[10] #pr,agency [5] agency,news [5] #publicrelations,#prfirms [5] bulldogreporter,#pr [5] #pr,pros [5] pros,news [5] #publicrelations,#marketing [5] #publicrelations,#pr [5] public,relations [5] news,flackable Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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