The graph represents a network of 1,147 Twitter users whose tweets in the requested range contained "corpgov", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 12 June 2022 at 03:27 UTC.
The requested start date was Sunday, 12 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, 5-hour, 58-minute period from Sunday, 29 May 2022 at 01:26 UTC to Saturday, 11 June 2022 at 07:24 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 : 1147
Unique Edges : 1137
Edges With Duplicates : 4920
Total Edges : 6057
Number of Edge Types : 5
Mentions : 2013
MentionsInRetweet : 1780
Retweet : 1077
Tweet : 1111
Replies to : 76
Self-Loops : 1274
Reciprocated Vertex Pair Ratio : 0.0427594070695553
Reciprocated Edge Ratio : 0.0820120284308365
Connected Components : 112
Single-Vertex Connected Components : 66
Maximum Vertices in a Connected Component : 909
Maximum Edges in a Connected Component : 5703
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.737401
Graph Density : 0.00139144379982076
Modularity : 0.248981
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,147 Twitter users whose tweets in the requested range contained "corpgov", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 12 June 2022 at 03:27 UTC.
The requested start date was Sunday, 12 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, 5-hour, 58-minute period from Sunday, 29 May 2022 at 01:26 UTC to Saturday, 11 June 2022 at 07:24 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 : corpgov
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:
[758] #esg,#corpgov [632] #conflictofiinterest,#esg [235] #csr,#corpgov [155] #hr,#csr [153] #hranalytics,#csuite [153] #shrm,#shrm22 [136] #hrtech,#salesforce [116] #corpgov,#esg [111] #corpgov,#ceo [107] #ceo,#cfo Top Word Pairs in Tweet in G1:
[81] #esg,#corpgov [60] harvardcorpgov,posted [55] #corpgov,#esg [54] #conflictofiinterest,#esg [24] #ceo,#cfo [23] corporate,governance [23] #corpgov,#grc [23] #corpgov,#ceo [20] #grc,#esg [20] #boardofdirectors,#governance Top Word Pairs in Tweet in G2:
[187] #csr,#corpgov [146] #hr,#csr [143] #hranalytics,#csuite [140] #shrm,#shrm22 [135] #hrtech,#salesforce [101] adviseresg,googleplay [101] googleplay,apple [85] #corpgov,#ceo [83] #csuite,#hranalytics [81] #ceo,#cfo Top Word Pairs in Tweet in G3:
[37] board,members [35] fox,corp [35] corp,culpable [25] members,investors [23] culpable,investors [21] third,reich [21] reich,#corpgov [20] investors,fox [20] investors,third [17] brianstelter,board Top Word Pairs in Tweet in G4:
[32] #esg,#sri [31] #csr,#corpgov [25] #esg,#csr [22] #csr,#sri [21] decades,deception [21] deception,surrounding [21] surrounding,environmental [21] environmental,impacts [21] impacts,#esg [20] focusing,companyâ Top Word Pairs in Tweet in G5:
[589] #esg,#corpgov [578] #conflictofiinterest,#esg [46] news,#conflictofiinterest [44] conflict,interest [31] #corpgov,#esg [15] #esg,#boardofdirectors [14] times,#conflictofiinterest [14] mary,ng [14] ng,under [14] shakira,soccer Top Word Pairs in Tweet in G6:
[14] live,#gcgc2022 [14] #ecgievent,#corpgov [10] watch,live [9] #corpgov,#ecgi [9] corporate,governance [9] live,#ecgievent [8] corporations,#covid19 [7] ecgiorg,live [7] global,corporate [6] #corpgov,#ecgievent Top Word Pairs in Tweet in G7:
[10] corporate,governance [4] board,diversity [3] board,composition [3] annual,reports [3] comes,board [3] diversity,regulation [3] regulation,helps [3] silver,bullet [3] tuesday,june [3] 1pm,sign Top Word Pairs in Tweet in G8:
[47] #corpgov,#grc [31] #grc,#esg [12] #esg,#corpgov [9] proposal,seeking [9] #corpgov,#esg [8] governance,matters [8] matters,podcast [7] thought,provoking [6] corporate,secretary [6] general,counsel Top Word Pairs in Tweet in G9:
[12] age,#bouncebacknow [12] #bouncebacknow,miss [12] miss,#inspiring [12] #inspiring,story [12] story,ravikikan [12] ravikikan,#womenintech [12] #womenintech,#femtech [12] #femtech,#startup [11] #patientcare,#health [11] oumglobal,age Top Word Pairs in Tweet in G10:
[20] 30pm,join [20] join,spring [20] spring,2022 [20] 2022,corpgov [20] corpgov,forum [20] forum,glasslewis [20] glasslewis,jefferies [20] jefferies,morrowsodali [20] morrowsodali,vinsonandelkins [20] vinsonandelkins,icrpr Top Replied-To in Entire Graph:
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Top Replied-To in G5:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: