The graph represents a network of 1,438 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 20,000 tweets, tweeted between 1/9/2023 5:54:25 AM and 1/16/2023 5:54:25 AM. The network was obtained from Twitter on Monday, 16 January 2023 at 13:57 UTC.
The tweets in the network were tweeted over the 1119-day, 5-hour, 17-minute period from Tuesday, 24 December 2019 at 08:36 UTC to Monday, 16 January 2023 at 13:53 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 : 1438
Unique Edges : 1208
Edges With Duplicates : 2911
Total Edges : 4119
Number of Edge Types : 9
Mentions : 772
Quote : 51
MentionsInQuote : 31
Retweet : 745
MentionsInRetweet : 1364
Tweet : 715
Replies to : 132
MentionsInReplyTo : 273
MentionsInQuoteReply : 36
Self-Loops : 949
Reciprocated Vertex Pair Ratio : 0.086272040302267
Reciprocated Edge Ratio : 0.158840579710145
Connected Components : 366
Single-Vertex Connected Components : 211
Maximum Vertices in a Connected Component : 608
Maximum Edges in a Connected Component : 1963
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.782037
Graph Density : 0.000834782709690158
Modularity : 0.416052
NodeXL Version : 1.0.1.508
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=288187
Data Import : The graph represents a network of 1,438 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 20,000 tweets, tweeted between 1/9/2023 5:54:25 AM and 1/16/2023 5:54:25 AM. The network was obtained from Twitter on Monday, 16 January 2023 at 13:57 UTC.
The tweets in the network were tweeted over the 1119-day, 5-hour, 17-minute period from Tuesday, 24 December 2019 at 08:36 UTC to Monday, 16 January 2023 at 13:53 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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[146] #globalwarming,hoax [106] #startups,_afpoh [106] help,#startups [106] #technolegal,help [106] seek,#technolegal [106] odrindia,_telelaws [106] farmers,seek [106] _afpoh,odrindia [106] global,farmers [97] hoax,global Top Word Pairs in Tweet in G1:
[34] increase,productivity [34] using,increase [17] excellent,client [17] injury,lawyer [17] client,experience [17] tools,personal [17] productivity,cloudlex [17] personal,injury [17] revenue,provide [17] thelegalcloud,#legaltech Top Word Pairs in Tweet in G2:
[28] legal,tech [24] #legaltech,#lawtech [23] #legalit,#legaltech [21] सरक,र [17] न,कह [14] द,ल [14] ल,ल [13] कह,क [13] र,म [13] क,द Top Word Pairs in Tweet in G3:
[36] #ediscovery,#legaltech [12] #legaltech,#legalops [9] #legalops,#legaltech [8] full,article [8] haystackid,honored [8] read,full [8] legal,technology [8] article,#ediscovery [7] technology,bytes [7] bytes,thanks Top Word Pairs in Tweet in G4:
[12] read,more [10] 2023,legaltech_news [9] 2023,read [9] discovery,2023 [8] prediction,discovery [8] john,davis [8] moring,john [8] more,legaltech_news [8] crowell,moring [8] legal,tech Top Word Pairs in Tweet in G5:
[17] legal,tech [12] #legaltech,#technology [7] law,students [7] students,recent [7] read,complete [6] students,build [6] hackathon,law [6] latest,lawyer [6] brand,documate [6] documate,legal Top Word Pairs in Tweet in G6:
[11] #legaltech,#lawtwitter [10] using,increase [10] increase,productivity [10] marketing,tactics [10] #law,#innovation [9] panel,discussion [9] legal,ai [9] #lawtwitter,#law [9] discussion,#legaltech [9] chatgpt,revolution Top Word Pairs in Tweet in G7:
[8] #legaltech,#lawtech [5] legaltech,matters [5] matters,host [4] justice,technology [4] #kmers,#kmedu [4] host,chillmedia [4] nicolebradick,founder [4] legal,leaders [4] innovation,legal [4] knowledge,innovation Top Word Pairs in Tweet in G8:
[3] ci,dessus [3] dessus,svp [3] merci,ci [2] b_smart_tv,feminatechfr [2] joinjfd,b_smart_tv [2] svp,women_legaltech [2] sanddela,joinjfd [2] enjoydigitall,sanddela [2] women_legaltech,enjoydigitall Top Word Pairs in Tweet in G9:
[6] everlaw,#ediscovery [6] #ediscovery,#legaltech [5] ve,spotted [5] #legaltech,ad [5] first,#legaltech [5] career,changing [5] changing,company [5] we've,named [5] named,one [5] jfk,ironclad_inc Top Word Pairs in Tweet in G10:
[6] #legaltech,chair [6] rory,o'boyle [5] nap,keeling [5] o'boyle,lawsocireland [5] tus_ie,tus_busmgmt [5] ppc,hybrid [5] lawsocireland,speaking [5] #legaltech,ppc [5] tus_busmgmt,#newfrontiers [5] hybrid,tus_ie Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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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 G6:
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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 G10: