The graph represents a network of 2,259 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, 03 November 2021 at 05:46 UTC.
The requested start date was Wednesday, 03 November 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 13-day, 19-hour, 30-minute period from Wednesday, 20 October 2021 at 00:02 UTC to Tuesday, 02 November 2021 at 19:33 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 : 2259
Unique Edges : 1577
Edges With Duplicates : 3616
Total Edges : 5193
Number of Edge Types : 5
Mentions : 965
Tweet : 1625
Replies to : 57
Retweet : 1105
MentionsInRetweet : 1441
Self-Loops : 1706
Reciprocated Vertex Pair Ratio : 0.0548717948717949
Reciprocated Edge Ratio : 0.104035002430724
Connected Components : 735
Single-Vertex Connected Components : 406
Maximum Vertices in a Connected Component : 706
Maximum Edges in a Connected Component : 2298
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 7.291641
Graph Density : 0.000403268335966242
Modularity : 0.433922
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,259 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, 03 November 2021 at 05:46 UTC.
The requested start date was Wednesday, 03 November 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 13-day, 19-hour, 30-minute period from Wednesday, 20 October 2021 at 00:02 UTC to Tuesday, 02 November 2021 at 19:33 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:
[329] #pr,#publicrelations [178] #publicrelations,#pr [168] public,relations [121] #publicrelations,#marketing [94] media,coverage [83] #marketing,#publicrelations [79] learn,more [74] artificial,intelligence [72] know,more [70] intelligence,used Top Word Pairs in Tweet in G1:
[94] #pr,#publicrelations [62] public,relations [28] #publicrelations,#pr [27] #marketing,#publicrelations [22] #publicrelations,#pragency [20] #communications,#publicrelations [16] social,media [15] more,#rfpalooza [12] #media,#publicrelations [12] #publicrelations,#media Top Word Pairs in Tweet in G2:
[55] #publicrelations,#marketing [44] reading,#publicrelations [37] #pr,#publicrelations [37] charlesfrize,reading [28] #game,#nft [28] #nft,#defigame [27] #publicrelations,#relationshipmanagement [27] #relationshipmanagement,share [27] share,key [27] key,publics Top Word Pairs in Tweet in G3:
[26] #publicrelations,#marketing [23] #pr,#publicrelations [18] #publicrelations,#pr [16] #investor,#capital [16] #capital,#publicrelations [11] heartiest,congratulations [11] #prlife,#entrepreneurlife [10] #marketing,#communications [10] #marketing,#business [10] #prmedia,#publicrelations Top Word Pairs in Tweet in G4:
[17] #marketing,#publicrelations [16] #corporate,#workplace [13] #management,#leadership [13] #leadership,#coaching [12] #publicrelations,#marketing [12] #employeeengagement,#business [12] #business,#corporate [11] public,relations [10] #coaching,#talentmanagement [10] #talentmanagement,#productivity Top Word Pairs in Tweet in G5:
[69] #eastwestpr,#getnoticed [68] #publicrelations,#eastwestpr [25] more,#publicrelations [23] #publicrelations,#prstrategy [22] #prstrategy,#marketingstrategy [22] #marketingstrategy,#marketing [21] #marketing,#digitalmarketing [21] #digitalmarketing,#contentstrategy [18] #techpr,#publicrelations [17] read,more Top Word Pairs in Tweet in G6:
[70] artificial,intelligence [70] intelligence,used [70] used,track [70] track,media [70] media,coverage [70] coverage,customers [70] customers,scanning [70] scanning,news [70] news,articles [70] articles,know Top Word Pairs in Tweet in G7:
[10] #publicrelations,industry [9] first,ceo [8] welcoming,deeptie [8] deeptie,sethi [8] sethi,first [8] ceo,prcai [8] prcai,further [8] further,build [8] build,prcai [8] prcai,vision Top Word Pairs in Tweet in G8:
[7] #pr,#publicrelations [4] good,#communication [4] #communication,stimulating [4] stimulating,black [4] black,coffee [4] coffee,hard [4] hard,sleep [4] sleep,anne [4] anne,morrow [4] morrow,lindbergh Top Word Pairs in Tweet in G9:
[6] #pr,#publicrelations [5] night,8th [5] 8th,9th [5] 9th,people [5] people,inducted [5] inducted,prweekuknews [5] prweekuknews,hall [5] hall,fame [5] fame,suddenly [5] suddenly,annie Top Word Pairs in Tweet in G10:
[14] top,women [13] #publicrelations,#pr [13] women,communications [13] communications,awards [10] #pr,#publicrelations [9] #raganawards,#womenincomms [8] #communications,#publicrelations [6] #publicrelations,#mediarelations [6] ragancomms,top [6] #womenincomms,#communications Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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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 Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: