The graph represents a network of 3,018 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 1/12/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 13 January 2023 at 21:21 UTC.
The tweets in the network were tweeted over the 2683-day, 3-hour, 33-minute period from Tuesday, 08 September 2015 at 21:20 UTC to Friday, 13 January 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 : 3018
Unique Edges : 2412
Edges With Duplicates : 8515
Total Edges : 10927
Number of Edge Types : 9
Retweet : 1996
MentionsInRetweet : 3297
Mentions : 1912
Tweet : 1888
Replies to : 428
MentionsInReplyTo : 535
Quote : 266
MentionsInQuote : 146
MentionsInQuoteReply : 459
Self-Loops : 2541
Reciprocated Vertex Pair Ratio : 0.0782849239280775
Reciprocated Edge Ratio : 0.14520266803489
Connected Components : 597
Single-Vertex Connected Components : 399
Maximum Vertices in a Connected Component : 1889
Maximum Edges in a Connected Component : 6954
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.17135
Graph Density : 0.000428102031936104
Modularity : 0.346738
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 3,018 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 1/12/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 13 January 2023 at 21:21 UTC.
The tweets in the network were tweeted over the 2683-day, 3-hour, 33-minute period from Tuesday, 08 September 2015 at 21:20 UTC to Friday, 13 January 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:
[223] odrindia,_telelaws [222] #technolegal,help [222] help,#startups [222] seek,#technolegal [215] _afpoh,odrindia [214] global,farmers [214] farmers,seek [214] #startups,_afpoh [213] legal,tech [199] #globalwarming,hoax Top Word Pairs in Tweet in G1:
[88] legal,tech [36] #legaltech,#lawtech [34] law,firm [31] increase,productivity [30] using,increase [29] revolution,legal [29] chatgpt,revolution [29] legal,ai [28] marketing,tactics [27] #law,#legaltech Top Word Pairs in Tweet in G2:
[52] increase,productivity [52] using,increase [31] #thelegallowdown,#lawsuits [31] #covid19,#cyberlaw [31] #scotus,#corporatelaw [31] #court,#lawyer [31] #lawsuit,#court [31] #justice,#caselaw [31] #litigation,#lawfirm [31] #security,#legaltech Top Word Pairs in Tweet in G3:
[130] hôpitaux,perceptions [130] cadastres,#legaltech [130] #legaltech,#plf2023 [130] préservez,hôpitaux [130] dettes,france [130] perceptions,cadastres [129] vain,d'être [129] contribuable,supplier [129] produisent,dettes [129] condamnent,contribuable Top Word Pairs in Tweet in G4:
[86] #ediscovery,#legaltech [35] legal,technology [31] coincidentally,currently [26] #legaltech,#legalops [24] currently,available [22] latest,legal [22] bytes,thanks [22] technology,bytes [21] litigation,support [20] latest,litigation Top Word Pairs in Tweet in G5:
[23] biggest,milestones [23] more,legaltech_news [23] read,more [20] crowell,moring [20] 2022,read [19] comments,biggest [13] legal,tech's [11] urbelis,jason [11] alexander,urbelis [11] stiehl,comments Top Word Pairs in Tweet in G6:
[42] introduced,q2 [42] protocol,v1 [42] third,party [42] party,risk [42] q2,2021 [42] v1,introduced [42] dsla,protocol [42] solution,today [42] 2021,proof [42] proof,concept Top Word Pairs in Tweet in G7:
[90] takes,bar [87] bar,exam [78] both,evidence [78] evidence,torts [78] passing,scores [78] report,passing [78] draft,report [78] scores,both [73] gpt,takes [73] torts,describe Top Word Pairs in Tweet in G8:
[21] idealex_press,lawandtrends [21] startups,legaltech [21] aceleradoras,startups [21] legaltech,idealex_press [21] guía,aceleradoras [19] penal,disponible [19] justicia,penal [19] sistema,justicia [19] disponible,abierto [19] algorítmica,sistema Top Word Pairs in Tweet in G9:
[17] legal,tech [13] #ediscovery,#legaltech [12] everlaw,#ediscovery [11] legaltech,news [10] watch,2023 [8] everlaw,everlaw [8] read,more [7] daily,thanks [7] trends,watch [7] tech,daily Top Word Pairs in Tweet in G10:
[21] सरक,र [17] न,कह [14] द,ल [14] ल,ल [13] क,द [13] कह,क [13] र,म [12] ह,क [11] ल,सरक [11] गव,ह 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 G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G5:
Top Mentioned in G6:
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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:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G10: