The graph represents a network of 2,714 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, 04 March 2022 at 21:57 UTC.
The requested start date was Friday, 04 March 2022 at 01:01 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, 22-hour, 52-minute period from Friday, 18 February 2022 at 01:07 UTC to Friday, 04 March 2022 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 : 2714
Unique Edges : 2364
Edges With Duplicates : 6653
Total Edges : 9017
Number of Edge Types : 5
Retweet : 2080
MentionsInRetweet : 3002
Tweet : 1613
Mentions : 2116
Replies to : 206
Self-Loops : 1720
Reciprocated Vertex Pair Ratio : 0.0659154929577465
Reciprocated Edge Ratio : 0.123678646934461
Connected Components : 530
Single-Vertex Connected Components : 288
Maximum Vertices in a Connected Component : 1607
Maximum Edges in a Connected Component : 6875
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.467276
Graph Density : 0.000513915232778883
Modularity : 0.384647
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,714 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, 04 March 2022 at 21:57 UTC.
The requested start date was Friday, 04 March 2022 at 01:01 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, 22-hour, 52-minute period from Friday, 18 February 2022 at 01:07 UTC to Friday, 04 March 2022 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:
[236] legal,tech [227] #hr,#hrtech [195] #hrtech,#csr [193] #corpgov,#hr [160] #csr,#shrm [158] #shrm,#startup [157] #wef,#corpgov [129] #startup,#csuite [119] #hranalytics,#wef [111] martinhoyes,#hranalytics Top Word Pairs in Tweet in G1:
[56] legal,tech [32] #lawtwitter,#legaltech [18] #legaltech,company [18] justice,tech [16] #abatechshow,#legaltech [16] stop,booth [16] aba,techshow [13] booth,414 [13] learn,more [13] legal,technology Top Word Pairs in Tweet in G2:
[28] legal,tech [23] legaltech,news [22] #lawtech,#legaltech [19] #legal,#legaltech [16] law,firm [14] law,firms [13] #legaltech,#legaltechnology [12] learn,more [11] #legaltech,#legalinnovation [11] #lawfirm,#lawfirms Top Word Pairs in Tweet in G3:
[216] #hr,#hrtech [184] #corpgov,#hr [184] #hrtech,#csr [153] #csr,#shrm [151] #shrm,#startup [149] #wef,#corpgov [123] #startup,#csuite [112] #hranalytics,#wef [102] martinhoyes,#hranalytics [80] #legaltech,#salesforce Top Word Pairs in Tweet in G4:
[68] #legaltech,节省资源 [68] 节省资源,googleai [68] googleai,翻译 [31] comment,évaluer [31] évaluer,coût [31] coût,total [31] total,justice_gouv [31] justice_gouv,société [31] société,ses [31] ses,salaires Top Word Pairs in Tweet in G5:
[22] #estápasando,observatorio [22] presenta,#comillasconectalab [20] quieres,saber [19] observatorio,legaltech [19] legaltech,newlaw [19] derechopractico,#estápasando [18] icade,garrigues [17] sector,legal [17] advisory,board [17] global,legaltech Top Word Pairs in Tweet in G6:
[29] #cybersecurity,#fintech [25] #ediscovery,#legaltech [21] #security,#emergingtech [21] #cybersecurity,#blockchain [21] #blockchain,#authentication [21] #authentication,#regulation [21] #regulation,#compliance [21] #compliance,#fintech [21] #fintech,#banking [20] #emergingtech,#cybersecurity Top Word Pairs in Tweet in G7:
[34] #law,#legal [21] #tech,#technology [20] #legal,#law [20] #legaltech,#legalit [20] #lawtech,#law [19] #legaltech,#tech [19] #technology,#lawtech [18] #legalit,#legaltechnology [15] #legaltechnology,#legal [14] #legal,#lawstudents Top Word Pairs in Tweet in G8:
[25] set,reminder [25] reminder,upcoming [25] upcoming,space [25] space,next [25] next,installment [25] installment,#legaltechwithleah [25] #legaltechwithleah,hosting [25] hosting,incredible [25] incredible,sa [24] leahmolatseli,set Top Word Pairs in Tweet in G9:
[60] #legalweekshow,#legalweek22 [59] #legalweek,#legaltech [58] #legalweek22,#legalweek [58] #legaltech,legalweekshow [12] law,firms [11] kl,software [11] software,technologies [9] mass,deletion [9] deletion,features [8] social,media Top Word Pairs in Tweet in G10:
[18] tech,summit [17] africa,tech [13] intellectual,property [10] ridwan,oloyede [10] oloyede,readeroy [9] tuesday,22nd [9] 22nd,february [9] february,founders [9] founders,ridwan [9] readeroy,deji Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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Top Replied-To in G8:
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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: