The graph represents a network of 2,155 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, 02 December 2022 at 21:25 UTC.
The requested start date was Friday, 02 December 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, 27-minute period from Friday, 18 November 2022 at 01:07 UTC to Friday, 02 December 2022 at 00:35 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 : 2155
Unique Edges : 1914
Edges With Duplicates : 7619
Total Edges : 9533
Number of Edge Types : 5
Replies to : 90
Retweet : 2306
MentionsInRetweet : 3692
Tweet : 1454
Mentions : 1991
Self-Loops : 1500
Reciprocated Vertex Pair Ratio : 0.0861818181818182
Reciprocated Edge Ratio : 0.158687646468028
Connected Components : 546
Single-Vertex Connected Components : 323
Maximum Vertices in a Connected Component : 1027
Maximum Edges in a Connected Component : 7461
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.875093
Graph Density : 0.000643490662168479
Modularity : 0.302829
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,155 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, 02 December 2022 at 21:25 UTC.
The requested start date was Friday, 02 December 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, 27-minute period from Friday, 18 November 2022 at 01:07 UTC to Friday, 02 December 2022 at 00:35 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:
[536] visionary,impraveendalal [240] #digitalindia,#legaltech [233] odrindia,portal [188] legal,tech [183] portal,visionary [170] central,bank [170] digital,currency [170] bank,digital [170] currency,#cbdc [129] #cbdc,india Top Word Pairs in Tweet in G1:
[36] legal,tech [23] legaltech,news [23] #legaltech,#legaltechnology [17] law,firms [16] #lawtech,#legaltech [15] #court,#lawyer [15] law,firm [14] #litigation,#lawfirm [14] learn,more [14] #lawtech,#lawtechnology Top Word Pairs in Tweet in G2:
[48] legal,tech [30] law,firm [21] startup,alley [20] #legaltech,startups [20] applications,open [18] open,abatechshow [18] attention,#legaltech [18] abatechshow,2023 [18] alley,pitch [18] pitch,competition Top Word Pairs in Tweet in G3:
[16] #legaltech,#lawtech [16] thomsonreuters,legal [15] #legal,#legaltech [15] legal,tech [14] #legalit,#legaltech [12] highq,elitelink [11] #,ideaspies [10] law,firm [10] triexecutives,#legaltech [8] public,access Top Word Pairs in Tweet in G4:
[20] global,legaltech [16] celebramos,#legaltechday [14] abierto,titulada [14] sesión,abierto [14] titulada,cibercompliance [14] cibercompliance,necesidad [14] papel,#legaltech [13] #techlaw,#legaltech [13] transformación,digital [12] necesidad,organización Top Word Pairs in Tweet in G5:
[37] #aliw2022,#legaltech [34] africa,legal [30] legal,tech [19] legaltech,panel [18] africa,legaltech [18] anglophone,africa [17] speaking,engagements [16] lawyers,hub [15] #legaltech,#legaltechafrica [13] awards,2022 Top Word Pairs in Tweet in G6:
[536] visionary,impraveendalal [240] #digitalindia,#legaltech [233] odrindia,portal [183] portal,visionary [170] central,bank [170] currency,#cbdc [170] digital,currency [170] bank,digital [129] #cbdc,india [110] impraveendalal,#digitalindia Top Word Pairs in Tweet in G7:
[10] #legaltech,#zegal [10] #zegal,#startups [9] free,trial [8] legal,tech [8] #hranalytics,#legaltech [7] key,features [7] document,processing [7] #machinelearning,#devopsh [7] #bondwest,#legaltech [7] #ai,#machinelearning Top Word Pairs in Tweet in G8:
[16] #ediscovery,#legaltech [10] fall,2022 [10] cost,ownership [10] total,cost [10] ownership,survey [9] celebrate,#ediscoveryday [9] legal,technology [8] respondents,shared [8] survey,respondents [8] legal,tech Top Word Pairs in Tweet in G9:
[16] marketing,tactics [13] increase,productivity [12] using,increase [9] unicourtinc,amazing [9] amazing,#digitalmarketing [9] three,teams [9] #digitalmarketing,#seo [9] seven,top [9] year,strong [9] finish,year Top Word Pairs in Tweet in G10:
[6] remboursez,justice [5] produisent,dettes [5] justice,supprimez [5] inutiles,justice_gouv [5] entendu,préservez [5] supprimez,services [5] supplier,vain [5] services,publics [5] cadastres,#legaltech [5] france,condamnent Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G6:
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Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: