The graph represents a network of 3,460 Twitter users whose recent tweets contained "legaltech", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/2/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 03 March 2023 at 21:22 UTC.
The tweets in the network were tweeted over the 2802-day, 21-hour, 36-minute period from Tuesday, 30 June 2015 at 03:21 UTC to Friday, 03 March 2023 at 00:58 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 3460
Unique Edges : 3130
Edges With Duplicates : 8395
Total Edges : 11525
Number of Edge Types : 9
Mentions : 2053
Tweet : 1776
Retweet : 1900
MentionsInRetweet : 2999
MentionsInReplyTo : 433
MentionsInQuote : 281
Replies to : 548
Quote : 429
MentionsInQuoteReply : 1106
Self-Loops : 2626
Reciprocated Vertex Pair Ratio : 0.0596267637687756
Reciprocated Edge Ratio : 0.11254295532646
Connected Components : 623
Single-Vertex Connected Components : 394
Maximum Vertices in a Connected Component : 2149
Maximum Edges in a Connected Component : 9005
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 6.227223
Graph Density : 0.000389032882302513
Modularity : 0.390317
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,460 Twitter users whose recent tweets contained "legaltech", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/2/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 03 March 2023 at 21:22 UTC.
The tweets in the network were tweeted over the 2802-day, 21-hour, 36-minute period from Tuesday, 30 June 2015 at 03:21 UTC to Friday, 03 March 2023 at 00:58 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[181] legal,tech [169] tribunaux,inutiles [164] par,#legaltech [164] fermer,passoires [164] passoires,thermiques [164] #legaltech,efficaces [164] sont,tribunaux [164] thermiques,sont [163] contribuables,par [163] assoient,dossiers Top Word Pairs in Tweet in G1:
[169] tribunaux,inutiles [164] fermer,passoires [164] passoires,thermiques [164] thermiques,sont [164] par,#legaltech [164] #legaltech,efficaces [164] sont,tribunaux [163] fonctionnaires,s'y [163] remplaçant,fonctionnaires [163] assoient,dossiers Top Word Pairs in Tweet in G2:
[30] law,firms [25] #legal,#legaltech [24] legal,tech [22] #legaltech,#legaltechnology [22] learn,more [19] #legaltech,#lawfirm [19] click,link [17] read,more [16] #legalops,#legaltech [15] #lawtech,#legaltech Top Word Pairs in Tweet in G3:
[43] law,firm [32] legal,tech [27] aba,techshow [26] legal,industry [25] legaltech,visionaries [24] list,#legaltech [23] keynote,panel [22] #legaltech,companies [21] legal,innovation [20] generative,ai Top Word Pairs in Tweet in G4:
[65] #ediscovery,#legaltech [28] learn,more [21] legal,technology [20] #legalops,#legaltech [17] #legaltech,#legalops [17] more,#ediscovery [16] latest,legal [16] bytes,thanks [16] technology,bytes [14] tewson,paralegal Top Word Pairs in Tweet in G5:
[39] #ediscovery,#legaltech [37] legal,tech [29] daily,thanks [25] #cyberlaw,#security [25] #lawfirm,#justice [25] #caselaw,#ip [25] #scotus,#corporatelaw [25] lowdown,#thelegallowdown [25] #lawyer,#litigation [25] #covid19,#cyberlaw Top Word Pairs in Tweet in G6:
[42] #legaltech,#lawtech [41] #legalit,#legaltech [25] donotpay,jbrowder1 [17] monday,kathryntewson [17] kathryntewson,filed [17] petition,against [17] filed,petition [17] #legaltech,co [17] co,donotpay [17] against,#legaltech Top Word Pairs in Tweet in G7:
[81] dsla,metaverse [67] stacktical,dsla [56] price,protection [56] floor,price [49] #nft,floor [49] latest,dsla [49] dsla,innovation [49] rock,jpegs [49] innovation,rock [49] protection,latest Top Word Pairs in Tweet in G8:
[15] courts,report [15] state,courts [12] 2023,state [12] thomsonreuters,2023 [12] law,firms [10] triexecutives,#legaltech [9] #a2j,#legaltech [9] triexecutives,#a2j [7] law,firm [7] #sali,open Top Word Pairs in Tweet in G9:
[21] universidades,nuevos [21] profesionales,sector [21] nuevos,profesionales [21] legaltech,papel [21] papel,universidades [21] sector,legal [20] reclamador,lawandtrends [20] legal,reclamador [17] transformación,digital [17] edición,libro Top Word Pairs in Tweet in G10:
[73] #cybersecurity,#fintech [43] #fintech,#legaltech [38] #bugbounty,#gdpr [38] #gdpr,#govtech [37] #legaltech,#healthtech [37] #healthtech,#bugbounty [36] #gdpr,#healthtech [36] #ciso,#dataprotection [36] #dataprotection,#gdpr [35] #govtech,#dataprotection Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: