The graph represents a network of 2,341 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, 16 December 2022 at 21:24 UTC.
The requested start date was Friday, 16 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, 9-minute period from Friday, 02 December 2022 at 01:47 UTC to Friday, 16 December 2022 at 00:56 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 : 2341
Unique Edges : 1680
Edges With Duplicates : 6475
Total Edges : 8155
Number of Edge Types : 5
Tweet : 1538
Mentions : 1722
Retweet : 2007
MentionsInRetweet : 2745
Replies to : 143
Self-Loops : 1601
Reciprocated Vertex Pair Ratio : 0.0726656626506024
Reciprocated Edge Ratio : 0.135486135486135
Connected Components : 559
Single-Vertex Connected Components : 341
Maximum Vertices in a Connected Component : 884
Maximum Edges in a Connected Component : 5197
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.387611
Graph Density : 0.000520086017736594
Modularity : 0.35045
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,341 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, 16 December 2022 at 21:24 UTC.
The requested start date was Friday, 16 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, 9-minute period from Friday, 02 December 2022 at 01:47 UTC to Friday, 16 December 2022 at 00:56 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:
[375] visionary,impraveendalal [237] delayed,many [237] entitled,compensation [237] know,eu [237] many,travellers [237] flight,cancelled [237] cancelled,delayed [237] eu,entitled [236] askaniatravel,flight [230] donâ,know Top Word Pairs in Tweet in G1:
[45] ãƒ,ム[29] legaltech,news [25] #legaltech,#legaltechnology [20] legal,tech [18] law,firm [18] law,firms [17] #lawtech,#lawtechnology [15] #legaltechnology,#lawtech [13] #gls,#legaltech [12] #lawtechnology,#lawsoftware Top Word Pairs in Tweet in G2:
[237] flight,cancelled [237] cancelled,delayed [237] know,eu [237] eu,entitled [237] delayed,many [237] many,travellers [237] entitled,compensation [236] askaniatravel,flight [230] travellers,donâ [230] donâ,know Top Word Pairs in Tweet in G3:
[49] legal,tech [19] law,firms [16] #tltfsummit,#legaltech [14] law,firm [14] past,24 [14] playing,past [14] hours,believe [14] world,law [14] 24,hours [14] going,change Top Word Pairs in Tweet in G4:
[30] #ediscovery,#legaltech [14] #legalit,#legaltech [12] legal,tech [12] #legaltech,#lawtech [12] #legaltech,company [9] #legaltech,#legalit [8] million,funding [8] winter,2023 [7] funding,round [7] closes,75 Top Word Pairs in Tweet in G5:
[17] onwards,hr [16] #hr,#hrtech [14] #hr,#hranalytics [14] legal,tech [14] #hrtech,#hranalytics [11] #hranalytics,#hrtech [10] #legaltech,#legal [9] #hranalytics,#legaltech [9] warn,act [9] #legaltech,#corpgov Top Word Pairs in Tweet in G6:
[41] #cybersecurity,#fintech [34] #gdpr,#healthtech [32] #ciso,#dataprotection [32] #dataprotection,#gdpr [28] #infosec,#pci [27] douglittlejr,#cybersecurity [21] #pci,#pii [20] #pii,#risk [20] #cloud,#infosec [20] #fintech,#ciso Top Word Pairs in Tweet in G7:
[15] #nlproc,#legaltech [10] contract,law [9] more,discussion [9] basic,contract [9] quasi,universal [9] #legaltech,quasi [9] hypotheticals,detective [9] #chatgpt,basic [9] law,hypotheticals [9] testing,#chatgpt Top Word Pairs in Tweet in G8:
[6] œ,œ [6] #legaltech,#lawfirms [5] ž,ª [5] hburness,techturer [5] #legaltech,#legaltechnology [5] techturer,rupertwhite [5] totumtalks,hburness [4] december,14 [4] changing,lawyer [4] technology,innovation Top Word Pairs in Tweet in G9:
[6] theme,2023 [6] #legaltech,competition [6] 2023,edition [6] edition,international [6] next,edition [6] happy,announce [6] announce,next [6] competition,theme [6] international,#legaltech [5] europeanbars,happy Top Word Pairs in Tweet in G10:
[375] visionary,impraveendalal [134] #digitalindia,#legaltech [128] digital,currency [128] currency,#cbdc [128] central,bank [128] bank,digital [99] odrindia,portal [92] portal,visionary [89] impraveendalal,#digitalindia [83] #cbdc,india Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G5:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: