The graph represents a network of 852 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, 09 January 2022 at 04:12 UTC.
The requested start date was Sunday, 09 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 12-day, 23-hour, 48-minute period from Sunday, 26 December 2021 at 02:21 UTC to Saturday, 08 January 2022 at 02:10 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 : 852
Unique Edges : 773
Edges With Duplicates : 4253
Total Edges : 5026
Number of Edge Types : 5
Retweet : 1073
MentionsInRetweet : 1472
Mentions : 1483
Replies to : 41
Tweet : 957
Self-Loops : 1054
Reciprocated Vertex Pair Ratio : 0.0456
Reciprocated Edge Ratio : 0.0872226472838562
Connected Components : 77
Single-Vertex Connected Components : 34
Maximum Vertices in a Connected Component : 688
Maximum Edges in a Connected Component : 4817
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.53531
Graph Density : 0.00180262932865505
Modularity : 0.208953
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 852 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, 09 January 2022 at 04:12 UTC.
The requested start date was Sunday, 09 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 12-day, 23-hour, 48-minute period from Sunday, 26 December 2021 at 02:21 UTC to Saturday, 08 January 2022 at 02:10 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:
[699] #corpgov,togovern [276] #csr,#corpgov [238] #aml,#crypto [237] #corpgov,#aml [236] #insurtech,#fintech [235] #crypto,#finserv [235] #finserv,#wef [235] #wef,#datagovernance [235] #datagovernance,#futureofwork [235] #futureofwork,#insurtech Top Word Pairs in Tweet in G1:
[114] original,source [113] source,video [113] video,corpgov [113] corpgov,hedge [113] hedge,fund [113] fund,veteran [113] gradante,broker [113] broker,dealers [113] dealers,options [113] options,short Top Word Pairs in Tweet in G2:
[84] #corpgov,togovern [31] #corpgov,#ceo [29] #ceo,#cfo [28] #board,#boardofdirectors [26] #boardofdirectors,#governance [24] #esg,#grc [21] #csr,#corpgov [20] #corpgov,#esg [18] #esg,#corpgov [17] corporate,governance Top Word Pairs in Tweet in G3:
[327] #corpgov,togovern [79] #corpgov,#ceo [70] #ceo,#cfo [57] #board,#boardofdirectors [57] yahoo,finance [53] #boardofdirectors,#governance [53] finance,#corpgov [52] #esg,#grc [39] moody's,assigns [34] #accounting,#audit Top Word Pairs in Tweet in G4:
[251] #csr,#corpgov [221] #aml,#crypto [219] learn,try [219] #corpgov,#aml [219] #insurtech,#fintech [218] #crypto,#finserv [218] #finserv,#wef [218] #wef,#datagovernance [218] #datagovernance,#futureofwork [218] #futureofwork,#insurtech Top Word Pairs in Tweet in G5:
[288] #corpgov,togovern [52] yahoo,finance [49] harvardcorpgov,posted [48] finance,#corpgov [36] moody's,assigns [21] #corpgov,#esg [16] shareholder,alert [15] togovern,shareholder [14] stable,yahoo [13] times,#corpgov Top Word Pairs in Tweet in G6:
[5] #risk,#regulation [5] #governance,#corpgov [4] #moneylaundering,#financialcrime [4] #grc,#risk [4] #regulation,#compliance [4] #compliance,#governance [3] money,laundering [3] #aml,#kyc [3] #kyc,#moneylaundering [3] #financialcrime,#grc Top Word Pairs in Tweet in G7:
[22] #esg,#corpgov [15] #corpgov,#susty [14] #susty,#netzero [12] #netzero,#climateaction [7] 250,billion [7] billion,worth [7] worth,bonds [7] bonds,issued [7] issued,2021 [7] 2021,fossil Top Word Pairs in Tweet in G8:
[4] nminow,#corpgov [4] palm,beach [4] beach,corpgov [4] corpgov,forum [4] forum,panel [4] panel,recap [4] recap,september [4] september,30 [4] 30,2021 [4] 2021,youtube Top Word Pairs in Tweet in G9:
[5] #sdgs,#sdginfluencers [5] adamrogers2030,#corpgov [4] #corporate,#corpgov [4] #corpgov,#sdgs [4] #sdgs,#sdg [4] #sdg,#sdg13 [4] #sdg13,martinhoyes [4] martinhoyes,adamrogers2030 [4] #corpgov,#knowledge [4] #knowledge,#leadership Top Word Pairs in Tweet in G10:
[3] #corpgov,#workplacesafety [3] western,australia [3] voice,power [3] power,young [3] young,australian [3] australian,abused [3] abused,camp [3] camp,leader [3] leader,aged [3] aged,13 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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: