The graph represents a network of 2,593 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, 19 August 2022 at 20:39 UTC.
The requested start date was Friday, 19 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, 37-minute period from Friday, 05 August 2022 at 00:08 UTC to Thursday, 18 August 2022 at 23:45 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 : 2593
Unique Edges : 2083
Edges With Duplicates : 7389
Total Edges : 9472
Number of Edge Types : 5
Replies to : 217
Mentions : 1827
Tweet : 1755
Retweet : 2411
MentionsInRetweet : 3262
Self-Loops : 2026
Reciprocated Vertex Pair Ratio : 0.0449129239230064
Reciprocated Edge Ratio : 0.0859649122807018
Connected Components : 449
Single-Vertex Connected Components : 251
Maximum Vertices in a Connected Component : 1680
Maximum Edges in a Connected Component : 7824
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 6.444796
Graph Density : 0.000508848609504221
Modularity : 0.346412
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 2,593 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, 19 August 2022 at 20:39 UTC.
The requested start date was Friday, 19 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, 37-minute period from Friday, 05 August 2022 at 00:08 UTC to Thursday, 18 August 2022 at 23:45 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:
[387] #corpgov,#finserv [375] #hranalytics,#corpgov [326] #finserv,#wef [319] #wef,#hr [316] #csuite,#legaltech [309] #legaltech,#csuite [231] #legaltech,#hranalytics [211] legal,tech [197] learn,more [183] #wef,#cx Top Word Pairs in Tweet in G1:
[82] legal,tech [24] law,firms [23] legal,industry [21] #lawtwitter,#legaltech [19] law,firm [18] tech,tool [17] hey,#lawtwitter [17] #legaltech,friends [17] friends,need [17] need,help Top Word Pairs in Tweet in G2:
[49] legaltech,news [36] law,firms [19] legal,tech [17] #legalmarketing,#legaltech [15] stack,ranking [15] ranking,part [15] part,30 [14] #legaltech,#legaltechnology [13] join,insights [13] insights,better Top Word Pairs in Tweet in G3:
[44] temps,remplacer [44] remplacer,gouffre [43] gouffre,financier [40] financier,services [38] services,justice_gouv [38] justice_gouv,par [33] par,#legaltech [30] peuvent,être [30] être,numérisés [30] #legaltech,utiliser Top Word Pairs in Tweet in G4:
[387] #corpgov,#finserv [375] #hranalytics,#corpgov [326] #finserv,#wef [319] #wef,#hr [316] #csuite,#legaltech [309] #legaltech,#csuite [231] #legaltech,#hranalytics [183] #wef,#cx [160] #salesforce,#csr [147] martinhoyes,#csuite Top Word Pairs in Tweet in G5:
[25] legal,tech [22] african,#legaltech [21] fav,african [20] leahmolatseli,open [18] leahmolatseli,fav [16] cape,town [16] open,speaking [16] speaking,gigs [16] gigs,workshop [16] workshop,training Top Word Pairs in Tweet in G6:
[21] looking,forward [20] industry,leaders [19] ls2_0,#ltvs2022 [19] #ltvs2022,looking [19] forward,learning [19] learning,more [19] more,#legaltech [19] #legaltech,industry [18] legal,tech [17] attending,ls2_0 Top Word Pairs in Tweet in G7:
[18] reuterslegal,thelegalintel [14] thelegalintel,legal_times [11] zeitonline,occrp [11] derspiegel,zeitonline [11] refugeelegal,reuterslegal [10] nypost,icrc_nyc [10] icrc_nyc,derspiegel [10] occrp,ilgaworld [10] ilgaworld,refugeelegal [10] a2i,project Top Word Pairs in Tweet in G8:
[14] click,link [8] nllp,2022 [8] 2022,workshop [7] meet,team [7] team,series [6] september,2022 [6] submission,deadline [6] deadline,26 [6] #onlinerti,#rtionline [6] #legaltech,#rtiwala Top Word Pairs in Tweet in G9:
[23] #ediscovery,#legaltech [21] #legal,#legaltech [18] opening,reception [17] attending,#iltacon22 [15] law,firms [12] federal,agencies [12] proud,sponsoring [12] sponsoring,opening [12] 21,30pm [12] 30pm,30pm Top Word Pairs in Tweet in G10:
[60] curso,internacional [56] próximo,viernes [56] viernes,19 [56] 19,agosto [50] agosto,tendremos [50] tendremos,sesión [50] sesión,gran [50] gran,luigi [50] luigi,ferrajoli [50] ferrajoli,dar Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: