The graph represents a network of 2,466 Twitter users whose tweets in the requested range contained "legaltech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 09 September 2022 at 20:27 UTC.
The requested start date was Friday, 09 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 13-day, 23-hour, 11-minute period from Friday, 26 August 2022 at 00:44 UTC to Thursday, 08 September 2022 at 23:56 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 : 2466
Unique Edges : 1775
Edges With Duplicates : 12952
Total Edges : 14727
Number of Edge Types : 5
Tweet : 1814
Retweet : 2374
MentionsInRetweet : 4299
Mentions : 5903
Replies to : 337
Self-Loops : 2282
Reciprocated Vertex Pair Ratio : 0.0589496248660236
Reciprocated Edge Ratio : 0.111336032388664
Connected Components : 501
Single-Vertex Connected Components : 312
Maximum Vertices in a Connected Component : 1425
Maximum Edges in a Connected Component : 12742
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.357774
Graph Density : 0.000487605059642785
Modularity : 0.19657
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 2,466 Twitter users whose tweets in the requested range contained "legaltech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 09 September 2022 at 20:27 UTC.
The requested start date was Friday, 09 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 13-day, 23-hour, 11-minute period from Friday, 26 August 2022 at 00:44 UTC to Thursday, 08 September 2022 at 23:56 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 : legaltech
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:
[354] #hranalytics,#corpgov [347] #finserv,#wef [338] #corpgov,#finserv [326] #wef,#hr [278] #csuite,#legaltech [278] #legaltech,#hranalytics [239] #hranalytics,#legaltech [239] learn,more [192] #legaltech,#finserv [180] #corpgov,#hranalytics Top Word Pairs in Tweet in G1:
[57] legaltech,news [25] legal,tech [23] #legaltech,#legaltechnology [19] law,firm [16] learn,more [15] legal,technology [15] law,firms [15] #gls,#legaltech [15] #legaltechnology,#lawtech [15] #lawtech,#lawtechnology Top Word Pairs in Tweet in G2:
[63] legal,tech [41] law,schools [41] schools,need [41] need,teaching [41] teaching,technology [41] technology,period [41] period,necessarily [41] necessarily,tools [41] tools,concepts [41] concepts,world Top Word Pairs in Tweet in G3:
[106] wipo,iplawalerts [105] courpenaleint,iacourthr [97] reuterslegal,thelegalintel [93] legaltech_news,refugeelegal [81] canadaenperu,peru [77] legaltech_news,reuterslegal [73] occrp,pandorapapers [69] unidir,un_hrc [60] refugeelegal,reuterslegal [58] eucourtpress,courpenaleint Top Word Pairs in Tweet in G4:
[21] mesa,redonda [21] españa,compra [19] oakley,apuesta [19] apuesta,'legaltech' [19] 'legaltech',españa [18] redonda,legaltech [18] legaltech,2022 [18] 2022,cómo [18] cómo,impactando [18] impactando,firmas Top Word Pairs in Tweet in G5:
[354] #hranalytics,#corpgov [347] #finserv,#wef [335] #corpgov,#finserv [326] #wef,#hr [278] #csuite,#legaltech [278] #legaltech,#hranalytics [233] #hranalytics,#legaltech [188] #legaltech,#finserv [177] help,#hr [177] #corpgov,#hranalytics Top Word Pairs in Tweet in G6:
[28] #ediscovery,#legaltech [18] house,legal [18] legal,team [18] #legaltech,#ediscovery [15] key,issues [14] recent,years [14] legal,technology [13] team,evolved [13] evolved,considerably [13] considerably,recent Top Word Pairs in Tweet in G7:
[16] legal,tech [9] state,legal [7] insights,state [7] tech,iltacon [7] iltacon,2022 [7] #ai,#legaltech [7] spending,14 [7] 14,years [7] years,legal [7] legal,research Top Word Pairs in Tweet in G8:
[23] click,link [19] legal,innovation [19] very,excited [18] #lawfest22,zealand [18] zealand,premier [18] premier,legal [18] legal,technology [17] british,legal [16] innovation,technology [15] huge,thank Top Word Pairs in Tweet in G9:
[14] legal,tech [11] episode,twitter [11] twitter,series [11] series,legal [11] tech,founders [11] founders,series [11] series,african [11] african,women [11] women,legaltech [11] legaltech,coming Top Word Pairs in Tweet in G10:
[73] données,caractère [73] caractère,personnel [65] ℹ,êtes [65] êtes,confronté [65] confronté,violation [65] violation,données [65] personnel,#senegal [65] #senegal,saisissez [65] saisissez,directement [65] directement,cdpsenegal Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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 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:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: