The graph represents a network of 2,834 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, 11 March 2022 at 21:57 UTC.
The requested start date was Friday, 11 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, 23-hour, 4-minute period from Friday, 25 February 2022 at 01:49 UTC to Friday, 11 March 2022 at 00:53 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 : 2834
Unique Edges : 2421
Edges With Duplicates : 6226
Total Edges : 8647
Number of Edge Types : 5
Retweet : 2040
MentionsInRetweet : 2771
Mentions : 1938
Tweet : 1722
Replies to : 176
Self-Loops : 1828
Reciprocated Vertex Pair Ratio : 0.07
Reciprocated Edge Ratio : 0.130841121495327
Connected Components : 531
Single-Vertex Connected Components : 316
Maximum Vertices in a Connected Component : 1612
Maximum Edges in a Connected Component : 6215
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 6.091335
Graph Density : 0.000466450326714513
Modularity : 0.404372
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,834 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, 11 March 2022 at 21:57 UTC.
The requested start date was Friday, 11 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, 23-hour, 4-minute period from Friday, 25 February 2022 at 01:49 UTC to Friday, 11 March 2022 at 00:53 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:
[243] legal,tech [136] #hr,#hrtech [130] #hrtech,#csr [123] learn,more [106] #hranalytics,#corpgov [99] martinhoyes,#hranalytics [97] #legaltech,#salesforce [86] #corpgov,#hr [85] law,firms [82] #legalweek,#legaltech Top Word Pairs in Tweet in G1:
[60] legal,tech [24] legaltech,news [23] booth,414 [22] #legaltech,company [22] #abatechshow,chicago [21] looking,forward [20] law,firm [20] #lawtwitter,#legaltech [20] stop,booth [19] good,morning Top Word Pairs in Tweet in G2:
[42] ãƒ,ム[29] legal,tech [22] legaltech,news [21] ø,ø [19] law,firm [17] ø,ù [17] #legal,#legaltech [16] ù,ø [14] legal,technology [14] votre,legaltech Top Word Pairs in Tweet in G3:
[77] #legalweek,#legaltech [72] #legalweekshow,#legalweek22 [72] #legalweek22,#legalweek [67] #legaltech,legalweekshow [54] #ediscovery,#legaltech [39] #cybersecurity,#fintech [38] stop,booth [36] #legaltech,#lawtech [34] zach,warren [33] #legaltech,#tech Top Word Pairs in Tweet in G4:
[17] #legaltech,节省资源 [17] 节省资源,googleai [17] googleai,翻译 [13] total,justice_gouv [13] ses,salaires [13] salaires,primes [13] ses,errances [13] errances,#legaltech [12] #legaltech,èš [12] èš,çœ Top Word Pairs in Tweet in G5:
[28] agenda,digital [27] digital,2030 [27] observatorio,legaltech [27] legaltech,newlaw [24] posible,agenda [22] #estã,pasando [22] pasando,observatorio [22] presenta,#comillasconectalab [18] icade,garrigues [17] newlaw,icade Top Word Pairs in Tweet in G6:
[17] #legaltech,#legalit [15] #legalit,#legaltechnology [12] #legaltechnology,#legal [12] #legal,#law [11] #law,#lawyer [10] law,firms [9] #lawyer,#lawfirm [9] #lawfirm,#attorney [9] #attorney,#firms [9] #firms,#techlaw Top Word Pairs in Tweet in G7:
[10] white,house [7] tune,tomorrow [7] tomorrow,3pm [7] 3pm,members [7] members,congress [7] congress,senior [7] senior,white [7] house,officials [7] officials,join [7] join,lsc Top Word Pairs in Tweet in G8:
[7] legal,tech [6] thread,#opportunities [6] ºðÿ,calling [6] calling,#legaltech [6] #legaltech,#ls20 [6] #ls20,community [6] community,time [6] time,unity [6] unity,introducing [6] introducing,support48 Top Word Pairs in Tweet in G9:
[9] legal,technology [8] small,law [7] booth,2100 [7] british,legal [6] justice,tech [6] tech,companies [6] companies,launched [6] launched,association [6] association,advocate [6] advocate,consumers Top Word Pairs in Tweet in G10:
[12] legal,tech [7] stefan,eder [7] eder,bennibler_recht [7] bennibler_recht,fragt [7] fragt,legal [7] tech,sells [7] sells,nennt [7] nennt,gründe [7] gründe,warum [7] warum,#legaltech Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G5:
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Top Tweeters in G10: