The graph represents a network of 863 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, 11 September 2022 at 03:32 UTC.
The requested start date was Sunday, 11 September 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 12-day, 4-hour, 40-minute period from Sunday, 28 August 2022 at 02:44 UTC to Friday, 09 September 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 : 863
Unique Edges : 865
Edges With Duplicates : 3330
Total Edges : 4195
Number of Edge Types : 5
Retweet : 967
MentionsInRetweet : 1105
Mentions : 1214
Tweet : 866
Replies to : 43
Self-Loops : 1076
Reciprocated Vertex Pair Ratio : 0.0382562277580071
Reciprocated Edge Ratio : 0.0736932305055698
Connected Components : 140
Single-Vertex Connected Components : 86
Maximum Vertices in a Connected Component : 556
Maximum Edges in a Connected Component : 3769
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.915747
Graph Density : 0.00156874658895075
Modularity : 0.251475
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 863 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, 11 September 2022 at 03:32 UTC.
The requested start date was Sunday, 11 September 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 12-day, 4-hour, 40-minute period from Sunday, 28 August 2022 at 02:44 UTC to Friday, 09 September 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:
[476] #corpgov,#esg [261] #hranalytics,#corpgov [256] #finserv,#wef [251] #corpgov,#finserv [224] #wef,#hr [221] #hranalytics,#legaltech [200] learn,more [196] #legaltech,#finserv [190] #legaltech,#hranalytics [189] #csuite,#legaltech Top Word Pairs in Tweet in G1:
[430] #corpgov,#esg [127] #esg,#corpgov [118] #conflictofiinterest,#esg [48] finance,#corpgov [45] yahoo,finance [43] corporate,governance [40] #esg,#boardofdirectors [32] #hr,#salesforce [27] #adp,#sap [26] #datagovernance,#hrtech Top Word Pairs in Tweet in G2:
[27] learn,more [25] 87,tech [25] tech,company [25] recent,survey [25] survey,claimed [25] claimed,building [25] building,strong [25] strong,cybersecurity [25] cybersecurity,culture [25] culture,important Top Word Pairs in Tweet in G3:
[41] harvardcorpgov,posted [22] #corpgov,#grc [18] #corpgov,#esg [13] wsj,#corpgov [10] turning,down [10] down,heat [10] debate,separating [10] separating,material [10] material,risk [10] risk,disclosures Top Word Pairs in Tweet in G4:
[79] #corpgov,#ceo [76] #ceo,#cfo [50] #board,#boardofdirectors [44] #boardofdirectors,#governance [33] #cfo,#chro [29] #esg,#grc [22] #governance,#compensationcommittee [22] #compensationcommittee,#auditcommittee [22] #auditcommittee,#nomgov [19] #nomgov,#boardleadership Top Word Pairs in Tweet in G5:
[244] #hranalytics,#corpgov [243] #finserv,#wef [239] #corpgov,#finserv [209] #wef,#hr [207] #hranalytics,#legaltech [180] #legaltech,#finserv [178] #legaltech,#hranalytics [176] #csuite,#legaltech [169] #csr,#wef [161] help,#hr Top Word Pairs in Tweet in G6:
[26] charles,schwab's [17] schwab's,largest [17] largest,institutional [17] institutional,shareholders [17] shareholders,know [17] know,trump [17] trump,brand [17] brand,gop [17] gop,violence [17] violence,calling Top Word Pairs in Tweet in G7:
[2] googleexpertuk,drumeshprabhu [2] drumeshprabhu,braincures [2] braincures,bulliescampaign [2] bulliescampaign,thepeopleshubuk [2] thepeopleshubuk,delusionalacad1 [2] delusionalacad1,tracyboylin [2] tracyboylin,petejacksongmp Top Word Pairs in Tweet in G8:
[8] #esg,#csr [8] #sri,#corpgov [7] nonprofit,board [6] #csr,#sri [5] alicekorngold,join [5] join,nonprofit [5] board,break [5] break,glass [5] glass,ceiling [5] ceiling,help Top Word Pairs in Tweet in G9:
[7] board,directors [6] directors,#corpgov [4] board,before [4] directors,serving [4] serving,many [4] tech,boards [4] #corpgov,#esg [4] #corpgov,#ceo [4] #ceo,#cfo [3] culture,fully Top Word Pairs in Tweet in G10:
[15] #esg,#corpgov [12] larry,fink [11] #corpgov,#esg [9] gop,attorneys [9] attorneys,general [8] #corpgov,#climatechange [7] fink,answer [7] answer,despicable [7] despicable,letter [7] letter,gop Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: