The graph represents a network of 2,695 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, 26 August 2022 at 20:42 UTC.
The requested start date was Friday, 26 August 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, 32-minute period from Friday, 12 August 2022 at 00:24 UTC to Thursday, 25 August 2022 at 23:57 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 : 2695
Unique Edges : 2060
Edges With Duplicates : 8209
Total Edges : 10269
Number of Edge Types : 5
MentionsInRetweet : 3338
Replies to : 214
Mentions : 2370
Retweet : 2484
Tweet : 1863
Self-Loops : 2177
Reciprocated Vertex Pair Ratio : 0.0477069867651585
Reciprocated Edge Ratio : 0.091069330199765
Connected Components : 498
Single-Vertex Connected Components : 289
Maximum Vertices in a Connected Component : 1486
Maximum Edges in a Connected Component : 7933
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.8798
Graph Density : 0.000468849212088156
Modularity : 0.31936
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 2,695 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, 26 August 2022 at 20:42 UTC.
The requested start date was Friday, 26 August 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, 32-minute period from Friday, 12 August 2022 at 00:24 UTC to Thursday, 25 August 2022 at 23:57 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:
[316] #csuite,#legaltech [285] #wef,#hr [283] #corpgov,#finserv [265] #hranalytics,#corpgov [261] #legaltech,#csuite [256] #legaltech,#hranalytics [256] #csr,#wef [224] learn,more [219] #finserv,#wef [203] legal,tech Top Word Pairs in Tweet in G1:
[104] legal,tech [59] #iltacon22,#legaltech [41] #ediscovery,#legaltech [39] #legalit,#legaltech [34] #legaltech,#lawtech [32] #weareilta,#legaltech [29] stop,booth [28] law,firm [28] law,firms [26] #legaltech,iltanet Top Word Pairs in Tweet in G2:
[63] legaltech,news [27] law,firms [23] #legaltech,#lawfirm [19] legal,tech [12] legal,technology [12] #law,#legaltech [10] #legal,#legaltech [9] #lawtech,#legaltech [8] #lawfirm,#lawfirms [8] #legalops,#legalinnovation Top Word Pairs in Tweet in G3:
[316] #csuite,#legaltech [285] #wef,#hr [283] #corpgov,#finserv [265] #hranalytics,#corpgov [260] #legaltech,#csuite [256] #legaltech,#hranalytics [255] #csr,#wef [219] #finserv,#wef [203] #hranalytics,#finserv [193] #finserv,#csr Top Word Pairs in Tweet in G4:
[19] reuterslegal,thelegalintel [18] wipo,iplawalerts [15] thelegalintel,legal_times [14] occrp,pandorapapers [12] derspiegel,zeitonline [12] zeitonline,occrp [12] refugeelegal,reuterslegal [10] iplawalerts,globalfreemedia [10] nypost,icrc_nyc [10] icrc_nyc,derspiegel Top Word Pairs in Tweet in G5:
[39] temps,remplacer [39] remplacer,gouffre [38] gouffre,financier [35] financier,services [33] services,justice_gouv [33] justice_gouv,par [29] par,#legaltech [26] #legaltech,utiliser [26] utiliser,fonds [26] fonds,économisés Top Word Pairs in Tweet in G6:
[115] abogados,tenemos [115] tenemos,opción [115] opción,avanzar [115] avanzar,tecnología [115] tecnología,aprender [115] aprender,contratos [115] contratos,inteligentes [115] inteligentes,ia [115] ia,blockchain [115] blockchain,legaltech Top Word Pairs in Tweet in G7:
[16] #ediscovery,#legaltech [10] #lexfusion,go [9] legal,technology [8] law,firms [7] #legaltech,#ediscovery [6] lessons,plaintiff's [6] plaintiff's,attorneys [6] running,listing [6] #legaltech,#legalops [6] #legaltech,company Top Word Pairs in Tweet in G8:
[61] curso,internacional [57] próximo,viernes [57] viernes,19 [57] 19,agosto [52] luigi,ferrajoli [51] agosto,tendremos [51] tendremos,sesión [51] sesión,gran [51] gran,luigi [51] ferrajoli,dar Top Word Pairs in Tweet in G9:
[15] discuss,legal [15] legal,provisions [14] provisions,protecting [12] guía,jurídica [11] jurídica,#legaltech [11] klobotai,klobot [11] #legal,#legaltech [11] #legalops,#legaltech [9] legal,services [9] #chatbots,#legalops Top Word Pairs in Tweet in G10:
[7] trends,report [6] legal,tech [4] innovation,trends [4] link,trends [4] interesting,read [4] read,bobambrogi [4] bobambrogi,neurotechnologically [4] neurotechnologically,augmented [4] augmented,lawyers [4] lawyers,billable 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 G6:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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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:
Top Tweeters in G2:
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: