The graph represents a network of 3,187 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 2/16/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 17 February 2023 at 21:36 UTC.
The tweets in the network were tweeted over the 2379-day, 18-hour, 28-minute period from Friday, 12 August 2016 at 06:25 UTC to Friday, 17 February 2023 at 00:53 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 : 3187
Unique Edges : 2875
Edges With Duplicates : 9759
Total Edges : 12634
Number of Edge Types : 9
Tweet : 1455
Replies to : 539
MentionsInReplyTo : 438
Mentions : 1987
Retweet : 2420
MentionsInRetweet : 3940
Quote : 395
MentionsInQuote : 204
MentionsInQuoteReply : 1256
Self-Loops : 2242
Reciprocated Vertex Pair Ratio : 0.07080078125
Reciprocated Edge Ratio : 0.132238942088463
Connected Components : 550
Single-Vertex Connected Components : 329
Maximum Vertices in a Connected Component : 1113
Maximum Edges in a Connected Component : 7628
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.524683
Graph Density : 0.000431957274639144
Modularity : 0.33401
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,187 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 2/16/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 17 February 2023 at 21:36 UTC.
The tweets in the network were tweeted over the 2379-day, 18-hour, 28-minute period from Friday, 12 August 2016 at 06:25 UTC to Friday, 17 February 2023 at 00:53 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:
[326] visionary,impraveendalal [311] odrindia,portal [216] par,#legaltech [216] tribunaux,inutiles [214] fermer,passoires [214] passoires,thermiques [214] thermiques,sont [213] #legaltech,efficaces [213] sont,tribunaux [154] #digitalindia,#legaltech Top Word Pairs in Tweet in G1:
[216] tribunaux,inutiles [216] par,#legaltech [214] fermer,passoires [214] passoires,thermiques [214] thermiques,sont [213] #legaltech,efficaces [213] sont,tribunaux [150] inutiles,par [146] pauvres,désoeuvrés [146] ceci,votre Top Word Pairs in Tweet in G2:
[26] #lawtech,#legaltech [23] japan,made [23] #legal,#legaltech [23] made,news [22] law,firms [20] law,firm [19] #thelegallowdown,#lawsuits [19] #covid19,#cyberlaw [19] #scotus,#corporatelaw [19] #court,#lawyer Top Word Pairs in Tweet in G3:
[50] #cybersecurity,#fintech [35] #gdpr,#healthtech [34] #dataprotection,#gdpr [34] #ciso,#dataprotection [32] law,firms [30] #healthtech,#databreach [30] #fintech,#ciso [30] #databreach,#cloud [28] douglittlejr,#cybersecurity [26] legal,tech Top Word Pairs in Tweet in G4:
[59] #ediscovery,#legaltech [30] #legalit,#legaltech [28] #legaltech,#lawtech [22] learn,more [20] legal,technology [14] law,firms [14] litigation,support [13] latest,legal [13] bytes,thanks [13] latest,litigation Top Word Pairs in Tweet in G5:
[14] gpt,llm [14] comment,ones [14] using,#chatgpt [14] please,comment [14] #chatgpt,gpt [14] ones,know [14] #legaltech,companies [14] announced,re [14] companies,announced [14] re,using Top Word Pairs in Tweet in G6:
[19] latest,legal [19] daily,thanks [14] legal,technology [13] technology,daily [13] #legaltech,#technology [8] latest,#ediscovery [8] #ediscovery,#legaltech [8] #ediscovery,times [7] times,thanks [6] tech,daily Top Word Pairs in Tweet in G7:
[34] legal,technology [32] technology,forum [32] british,legal [29] learn,more [26] #bltf2023,#legaltech [25] click,#bltf2023 [16] year's,british [13] forum,2023 [13] #ediscovery,#legaltech [13] forum,learn Top Word Pairs in Tweet in G8:
[30] legal,tech [11] tech,innovators [9] asia,pacific [9] law,firm [9] pacific,region [8] tech,startup [8] document,automation [8] innovators,asia [7] information,management [7] 30,legal Top Word Pairs in Tweet in G9:
[28] dsla,2023 [24] packed,innovation [24] product,market [24] innovation,ready [24] market,fit [24] 2023,packed [24] ready,product [23] stacktical,dsla [18] project,dsla [18] such,strong Top Word Pairs in Tweet in G10:
[64] #cybersecurity,#fintech [62] douglittlejr,#cybersecurity [55] #gdpr,#healthtech [55] #ciso,#dataprotection [55] #dataprotection,#gdpr [50] #fintech,#ciso [50] #healthtech,#databreach [50] #databreach,#cloud [37] #risk,#legaltech [30] #legaltech,#cybesec Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G9:
Top Tweeters in G10: