The graph represents a network of 2,036 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, 29 July 2022 at 20:22 UTC.
The requested start date was Friday, 29 July 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, 59-minute period from Friday, 15 July 2022 at 00:01 UTC to Friday, 29 July 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 : 2036
Unique Edges : 1506
Edges With Duplicates : 5324
Total Edges : 6830
Number of Edge Types : 5
Tweet : 1575
Mentions : 1123
Retweet : 1841
MentionsInRetweet : 2194
Replies to : 97
Self-Loops : 1762
Reciprocated Vertex Pair Ratio : 0.0755412252418241
Reciprocated Edge Ratio : 0.140471092077088
Connected Components : 483
Single-Vertex Connected Components : 281
Maximum Vertices in a Connected Component : 1059
Maximum Edges in a Connected Component : 5034
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 6.256633
Graph Density : 0.000563565887730917
Modularity : 0.338557
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,036 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, 29 July 2022 at 20:22 UTC.
The requested start date was Friday, 29 July 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, 59-minute period from Friday, 15 July 2022 at 00:01 UTC to Friday, 29 July 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:
[342] #hrtech,#salesforce [305] #hr,#hrtech [301] #salesforce,#finserv [281] #finserv,#csr [205] #csr,#corpgov [172] #corpgov,#shrm [172] #shrm,#legaltech [146] legal,tech [146] #shrm,#hranalytics [139] martinhoyes,#hr Top Word Pairs in Tweet in G1:
[29] legaltech,news [22] #legal,#legaltech [21] artificial,intelligence [18] legaltech,artificial [18] intelligence,market [17] #legaltech,#lawfirm [16] global,legaltech [16] market,innovations [16] innovations,future [16] future,expansion Top Word Pairs in Tweet in G2:
[43] legal,tech [33] legal,technology [22] american,#legaltech [22] #legaltech,awards [20] american,legal [16] technology,awards [14] tech,solutions [13] legal,ops [13] build,tech [13] solutions,increase Top Word Pairs in Tweet in G3:
[340] #hrtech,#salesforce [301] #hr,#hrtech [298] #salesforce,#finserv [279] #finserv,#csr [203] #csr,#corpgov [170] #corpgov,#shrm [170] #shrm,#legaltech [146] #shrm,#hranalytics [138] martinhoyes,#hr [126] #soahr2022,#hr Top Word Pairs in Tweet in G4:
[14] #legal,#law [12] two,things [8] learn,more [8] find,more [8] #lawyers,#legal [8] design,thinking [7] #legal,professionals [7] exhibiting,#bltf2022 [7] pro,bono [7] bono,access Top Word Pairs in Tweet in G5:
[14] #ediscovery,#legaltech [9] legal,technology [8] machine,learning [7] icymi,#podcast [7] #podcast,ceo [7] ceo,ajshankar [7] ajshankar,reveals [7] reveals,everlaw [7] everlaw,reimagined [7] reimagined,unsupervised Top Word Pairs in Tweet in G6:
[122] legaltech,summit [117] summit,2022 [114] 2022,pierdas [90] registrate,#legaltechsummit2022 [90] #legaltechsummit2022,#deinterésanii [84] estará,escenario [84] escenario,legaltech [84] 2022,próximo [84] próximo,agosto [84] agosto,2022 Top Word Pairs in Tweet in G7:
[24] #legaltech,#lawtech [23] #legalit,#legaltech [12] law,firm [11] learn,more [8] law,firms [7] document,management [7] #legaltech,#legaltechnology [7] #km,expert [7] #gls,#legaltech [6] tiger,eye Top Word Pairs in Tweet in G8:
[16] booth,701 [8] fact,issue [8] issue,finder [8] gender,imbalance [8] imbalance,#cybersecurity [7] stop,booth [7] learn,more [6] legal,tech [6] mofo's,mwugmeister [6] mwugmeister,spoke Top Word Pairs in Tweet in G9:
[7] litera,create [7] legaltech,matters [7] law,firm [6] #lexfusion,go [6] #washingtondc,#happyhour [6] #happyhour,event [5] join,july [5] webinar,litera [5] create,document [5] document,automation Top Word Pairs in Tweet in G10:
[9] cámara,comercio [9] comercio,británica [9] británica,españa [9] apuesta,#legaltech [7] españa,apuesta [7] #legaltech,asocia [7] asocia,biglelegal [7] biglelegal,software [7] software,#clm [6] derechopractico,cámara Top Replied-To in Entire Graph:
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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:
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Top Tweeters in G10: