The graph represents a network of 2,448 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, 31 July 2020 at 21:14 UTC.
The requested start date was Friday, 31 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 8-day, 0-hour, 53-minute period from Wednesday, 22 July 2020 at 20:50 UTC to Thursday, 30 July 2020 at 21:43 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 : 2448
Unique Edges : 1986
Edges With Duplicates : 7484
Total Edges : 9470
Number of Edge Types : 5
Tweet : 1757
Retweet : 2683
MentionsInRetweet : 3570
Mentions : 1376
Replies to : 84
Self-Loops : 1890
Reciprocated Vertex Pair Ratio : 0.0698996655518395
Reciprocated Edge Ratio : 0.130665833072835
Connected Components : 522
Single-Vertex Connected Components : 323
Maximum Vertices in a Connected Component : 1488
Maximum Edges in a Connected Component : 7771
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 7.021151
Graph Density : 0.000534033937781624
Modularity : 0.331691
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 2,448 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, 31 July 2020 at 21:14 UTC.
The requested start date was Friday, 31 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 8-day, 0-hour, 53-minute period from Wednesday, 22 July 2020 at 20:50 UTC to Thursday, 30 July 2020 at 21:43 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:
[169] techno,legal [169] #legaltech,#regtech [114] law,firms [112] legal,tech [101] covid,19 [92] #regtech,impraveendalal [65] impraveendalal,p4loindia [64] present,future [64] cyber,crimes [62] legal,skills Top Word Pairs in Tweet in G1:
[21] legaltech,news [16] #ediscovery,#legaltech [12] legal,tech [11] law,firm [11] law,firms [9] covid,19 [9] learn,more [9] #legaltech,#lawyers [9] netdocshare,teams [9] teams,app Top Word Pairs in Tweet in G2:
[31] legal,tech [25] top,50 [24] planetcompliance,top [24] 50,legaltech [24] legaltech,influencers [23] #legaltech,#covid19 [21] law,firms [21] well,done [20] #legaltech,#lawtech [20] #legaltech,innovation Top Word Pairs in Tweet in G3:
[34] #ai,enters [34] enters,verdict [34] verdict,guilty [34] guilty,innocent [34] #machinelearning,#legaltech [33] #legaltech,#bigdata [28] #bigdata,#dataanalytics [27] gt,gt [24] innocent,#machinelearning [23] kanezadiane,#ai Top Word Pairs in Tweet in G4:
[30] herramientas,servicio [30] servicio,abogacía [27] nueva,normalidad [27] normalidad,herramientas [24] #legaltech,nueva [23] #forotechicam40,jornada [23] jornada,#legaltech [20] vuelve,#forotechicam40 [16] icam_es,vuelve [15] herramientas,#legaltech Top Word Pairs in Tweet in G5:
[15] allowed,law [15] law,librarians [15] librarians,flex [13] flex,tech [13] tech,prowess [12] covid,19 [12] 19,allowed [12] prowess,legaltech_news [10] ftc,mirrors [10] cybersecurity,proposal Top Word Pairs in Tweet in G6:
[42] #legaltech,#legalnews [42] news,article [37] #lawyers,#attorneys [36] #legalnews,#legalservices [31] #legal,#law [30] #law,#lawfirm [30] #lawfirm,#attorney [25] #attorneys,#legaltech [24] #attorney,#lawyer [21] #legalservices,#legal Top Word Pairs in Tweet in G7:
[13] #legalops,#legaltech [9] carollynngrow,explains [9] explains,business [9] business,lawtoolbox [9] lawtoolbox,transforming [9] transforming,#legal [9] #legal,industry [9] industry,globalwic [9] globalwic,#legaltech [8] technative,carollynngrow Top Word Pairs in Tweet in G8:
[169] techno,legal [164] #legaltech,#regtech [91] #regtech,impraveendalal [65] impraveendalal,p4loindia [64] cyber,crimes [64] present,future [62] legal,skills [60] legaltech,useless [60] useless,unless [60] unless,good Top Word Pairs in Tweet in G9:
[34] #infosecurity,#legaltech [25] #fintech,#legaltech [25] #legaltech,#makingtechwork4u [25] #legaltech,#netsec [23] #cybersecurity,#fintech [23] #internet,#legaltech [23] #internetmarketing,#legaltech [17] #legaltech,#marketingstrategy [17] free,web [17] web,proxy Top Word Pairs in Tweet in G10:
[9] one,go [9] go,find [9] find,rad [9] rad,#lawstudent [9] #lawstudent,paid [9] paid,internship [9] internship,opp [9] opp,work [9] work,b2c [9] b2c,#legaltech Top Replied-To in Entire Graph:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: