The graph represents a network of 3,814 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, 25 September 2020 at 21:01 UTC.
The requested start date was Friday, 25 September 2020 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 10-day, 22-hour, 47-minute period from Monday, 14 September 2020 at 01:13 UTC to Friday, 25 September 2020 at 00:00 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 : 3814
Unique Edges : 3384
Edges With Duplicates : 11103
Total Edges : 14487
Number of Edge Types : 5
Tweet : 2567
Retweet : 3809
MentionsInRetweet : 5180
Mentions : 2654
Replies to : 277
Self-Loops : 2706
Reciprocated Vertex Pair Ratio : 0.0685592893008884
Reciprocated Edge Ratio : 0.128320983191759
Connected Components : 582
Single-Vertex Connected Components : 339
Maximum Vertices in a Connected Component : 2668
Maximum Edges in a Connected Component : 12220
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.725308
Graph Density : 0.000380463655440892
Modularity : 0.355543
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 3,814 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, 25 September 2020 at 21:01 UTC.
The requested start date was Friday, 25 September 2020 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 10-day, 22-hour, 47-minute period from Monday, 14 September 2020 at 01:13 UTC to Friday, 25 September 2020 at 00:00 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:
[337] #legaltech,#lawtech [166] legal,tech [162] artificial,intelligence [149] #lawtech,#regtech [117] law,firms [108] #infosecurity,#legaltech [89] legal,services [87] #internetmarketing,#legaltech [86] covid,19 [86] #ediscovery,#legaltech Top Word Pairs in Tweet in G1:
[50] legal,tech [38] published,author [37] sleep,still [37] still,extremely [37] extremely,emotional [37] emotional,god [37] god,whole [37] whole,published [37] author,young [37] young,black Top Word Pairs in Tweet in G2:
[70] #legaltech,bloqué [70] bloqué,par [70] par,cnbarreaux [69] autisme,perpétuel [67] c'est,c'est [67] c'est,l'autre [67] séparation,pouvoir [66] principe,c'est [66] l'autre,séparation [66] pouvoir,opportune Top Word Pairs in Tweet in G3:
[31] legaltech,news [22] virtual,data [18] law,firms [18] covid,19 [17] asg,legaltech [16] started,#legal [15] law,firm [14] data,rooms [13] doctrine,entreprise [13] entreprise,legaltech Top Word Pairs in Tweet in G4:
[56] #ediscovery,#legaltech [36] #legalit,#legaltech [25] #legaltech,#lawtech [21] legal,tech [19] law,firms [15] #relativityfest,#ediscovery [13] learn,more [12] panel,discussion [12] relativity,fest [11] join,october Top Word Pairs in Tweet in G5:
[102] #infosecurity,#legaltech [86] #internetmarketing,#legaltech [84] #legaltech,#makingtechwork4u [74] #legaltech,#marketing [68] #legaltech,#netsec [64] #internet,#legaltech [54] #artificialintelligence,#bigdata [52] #machinelearning,#legaltech [51] difference,between [51] between,#deeplearning Top Word Pairs in Tweet in G6:
[34] asg,legaltech [15] acquired,asg [12] legal,technology [11] technology,conference [10] #legaltech,#regtech [10] #legaltech,#ai [10] legaltech,acquires [9] legal,payments [8] reading,articles [8] articles,#legaltech Top Word Pairs in Tweet in G7:
[37] #legaltech,#lexisplus [25] #lawtech,#legaltech [24] #law,#legal [22] #manupatra,#news [22] #news,#updates [22] #updates,#newsupdates [22] #newsupdates,#indianlaws [22] #indianlaws,#law [22] #legal,#latest [22] #latest,#newsalert Top Word Pairs in Tweet in G8:
[28] premios,european [28] legaltech,2020 [27] european,women [26] nominada,premios [26] women,legaltech [18] estoy,feliz [18] feliz,poderos [18] poderos,contar [18] contar,nominada [18] 2020,ewolt_award Top Word Pairs in Tweet in G9:
[261] #legaltech,#lawtech [148] #lawtech,#regtech [112] artificial,intelligence [79] #regtech,impraveendalal [73] techno,legal [42] non,stake [42] stake,basis [40] legal,services [36] _telelaws,#startup [34] digitalindialaw,_telelaws Top Word Pairs in Tweet in G10:
[10] studio,morning [10] morning,recording [10] recording,podcast [10] podcast,youth [10] youth,fm [10] fm,amuria [10] amuria,district [10] district,veritas [10] veritas,fm [10] fm,soroti Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: