The graph represents a network of 3,550 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, 25 December 2022 at 04:25 UTC.
The requested start date was Sunday, 25 December 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, 21-hour, 35-minute period from Sunday, 11 December 2022 at 03:08 UTC to Saturday, 24 December 2022 at 00:44 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 : 3550
Unique Edges : 3630
Edges With Duplicates : 10013
Total Edges : 13643
Number of Edge Types : 5
MentionsInRetweet : 7045
Mentions : 1825
Retweet : 3770
Tweet : 802
Replies to : 201
Self-Loops : 982
Reciprocated Vertex Pair Ratio : 0.00780898032737648
Reciprocated Edge Ratio : 0.0154969453136641
Connected Components : 123
Single-Vertex Connected Components : 71
Maximum Vertices in a Connected Component : 3301
Maximum Edges in a Connected Component : 13265
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.872768
Graph Density : 0.000532663436238734
Modularity : 0.34884
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 3,550 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, 25 December 2022 at 04:25 UTC.
The requested start date was Sunday, 25 December 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, 21-hour, 35-minute period from Sunday, 11 December 2022 at 03:08 UTC to Saturday, 24 December 2022 at 00:44 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:
[1835] tesla,board [1254] board,directors [967] elon,mu [948] investor,relations [941] emailed,tesla [941] robyn,denholm [941] board,chair [941] relations,martin [941] questions,elon [941] chair,robyn Top Word Pairs in Tweet in G1:
[1496] tesla,board [972] board,directors [892] investor,relations [889] elon,mu [888] chair,robyn [888] viecha,today [888] relations,martin [888] head,investor [888] questions,elon [888] board,chair Top Word Pairs in Tweet in G2:
[398] #corpgov,#esg [239] #esg,#corpgov [203] #conflictofiinterest,#esg [159] #lawyeroftheyear,#keystonelaw [102] pedo,pete [99] livid,sue [99] pete,#newfoundglobal [99] sue,tried [99] #newfoundglobal,livid [99] tried,#lawyeroftheyear Top Word Pairs in Tweet in G3:
[179] gone,full [179] musk,gone [179] full,qanon [157] tesla,board [145] elon,musk [142] twitter,tesla [138] tesla,investors [133] nancylevine,avindman [122] tesla,spacex [122] avindman,twitter Top Word Pairs in Tweet in G4:
[8] googleexpertuk,drumeshprabhu [6] shades_dirty,googleexpertuk [6] drumeshprabhu,do_kinder [6] do_kinder,thepeopleshubuk [5] delusionalacad1,tracyboylin [5] suzanne_garrett,proftimnoakes [5] thepeopleshubuk,delusionalacad1 [5] tracyboylin,petejacksongmp [4] braincures,shades_dirty [3] marikasboros,stop_utk_now Top Word Pairs in Tweet in G5:
[165] tesla,board [158] board,directors [156] fiduciary,duty [154] duty,shareholders [154] breach,fiduciary [152] directors,breach [150] shareholders,protect [146] protect,value [132] value,reputation [107] tsla,#corpgov Top Word Pairs in Tweet in G6:
[41] law,school [41] harvard,law [40] corporate,governance [40] school,forum [40] disclosures,here's [40] made,#cybersecurity [40] takeaways,harvard [40] forum,corporate [40] insight,takeaways [40] here's,insight Top Word Pairs in Tweet in G7:
[13] #corpgov,#esg [6] tax,transparency [5] #corpgov,#gobiernocorporativo [5] racial,equity [4] annual,meeting [4] virtual,annual [4] soundboard,governance [4] both,proposals [4] diciembre,2022 [3] open,market Top Word Pairs in Tweet in G8:
[13] klaus,schwab [10] dear,archbpvigano [10] archbpvigano,asking [10] #health,#patientcare [10] ceos,boards [10] #hr,resign [10] resign,world [10] asking,ceos [10] under,klaus [10] heads,#hr Top Word Pairs in Tweet in G9:
[7] #sdgs,#globalgoals [3] #corpgov,greennewdeal_eu [3] #drought,#hunger [3] #leavenoonebehind,adamrogers2030 [3] #innovationchallenge2022,#sdgs [3] hunger,#climatechange [3] judge,social [3] #climatechange,leads [3] leads,hunger [3] more,honour Top Word Pairs in Tweet in G10:
[6] sat_min,brivibas36 [5] bicg_corpgov,sat_min [3] rubesita,bicg_corpgov [2] sabiedriskajām,organizācijām [2] organizācijām,kas [2] vēršu,uz [2] uzmanību,bicg_corpgov [2] citām,sabiedriskajām [2] iestājas,par [2] karlisbumeister,bicg_corpgov 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 G7:
Top Replied-To in G8:
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 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: