The graph represents a network of 2,370 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 2/2/2023 5:00:34 PM. The network was obtained from Twitter on Friday, 03 February 2023 at 21:20 UTC.
The tweets in the network were tweeted over the 2065-day, 21-hour, 16-minute period from Thursday, 08 June 2017 at 03:27 UTC to Friday, 03 February 2023 at 00:43 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 : 2370
Unique Edges : 1823
Edges With Duplicates : 10238
Total Edges : 12061
Number of Edge Types : 9
Tweet : 1094
Retweet : 2949
MentionsInRetweet : 4856
Mentions : 1670
Replies to : 319
MentionsInReplyTo : 399
Quote : 211
MentionsInQuote : 108
MentionsInQuoteReply : 455
Self-Loops : 1566
Reciprocated Vertex Pair Ratio : 0.0846917080085046
Reciprocated Edge Ratio : 0.156158118262006
Connected Components : 437
Single-Vertex Connected Components : 261
Maximum Vertices in a Connected Component : 1374
Maximum Edges in a Connected Component : 10263
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 6.209215
Graph Density : 0.00054519256286813
Modularity : 0.246349
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,370 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 2/2/2023 5:00:34 PM. The network was obtained from Twitter on Friday, 03 February 2023 at 21:20 UTC.
The tweets in the network were tweeted over the 2065-day, 21-hour, 16-minute period from Thursday, 08 June 2017 at 03:27 UTC to Friday, 03 February 2023 at 00:43 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:
[641] odrindia,portal [282] #digitalindia,#legaltech [254] visionary,impraveendalal [164] #unemployment,india [157] join,odr [153] #lawyers,#lawfirms [148] global,professionals [146] legal,professionals [136] impraveendalal,#digitalindia [129] legal,tech Top Word Pairs in Tweet in G1:
[66] tribunaux,inutiles [65] par,#legaltech [63] sont,tribunaux [63] #legaltech,efficaces [63] fermer,passoires [63] passoires,thermiques [63] thermiques,sont [62] votre,justice [62] inutiles,par [61] envoient,enfer Top Word Pairs in Tweet in G2:
[17] legaltech,news [15] #covid19,#cyberlaw [15] #justice,#caselaw [15] legal,lowdown [15] #litigation,#lawfirm [15] #corporatelaw,#covid19 [15] #security,#legaltech [15] #caselaw,#ip [15] #thelegallowdown,#lawsuits [15] #legaltech,#laborlaw Top Word Pairs in Tweet in G3:
[36] legal,tech [24] #legaltech,#lawtech [22] law,firm [22] #legalit,#legaltech [19] startup,alley [12] #legaltech,company [12] abatechshow,2023 [10] law,firms [8] #legaltech,#startups [8] tech,startup Top Word Pairs in Tweet in G4:
[641] odrindia,portal [282] #digitalindia,#legaltech [254] visionary,impraveendalal [164] #unemployment,india [157] join,odr [152] #lawyers,#lawfirms [148] global,professionals [137] legal,professionals [136] impraveendalal,#digitalindia [110] professional,courses Top Word Pairs in Tweet in G5:
[49] #ediscovery,#legaltech [20] read,more [17] #legaltech,#legalops [17] crowell,moring [16] more,legaltech_news [14] daily,thanks [14] latest,legal [14] preview,progress [13] legal,technology [10] technology,bytes Top Word Pairs in Tweet in G6:
[127] รางว,ลให [127] 100,บาท [127] บาท,รางว [126] มแจกเง,น [126] งข,น [126] น,100 [126] คนค,า [126] ส,มแจกเง [126] มเพ,อใช [126] น,legaltech Top Word Pairs in Tweet in G7:
[17] report,thomsonreuters [16] #legalops,#legaltech [16] thomsonreuters,oxfordsbs [15] #alsp,report [14] 2023,#alsp [14] law,firms [13] traffic,court [13] oxfordsbs,georgetownlaw [13] robot,lawyer [13] set,reminder Top Word Pairs in Tweet in G8:
[13] #regulación,#lingüísticacomputacional [13] avecina,#ética [13] tomando,notas [13] #lingüísticacomputacional,#chatgpt [13] openai,mano [13] notas,avecina [13] #ética,#regulación [13] transformación,digital [13] #chatgpt,openai [12] cris_aranda_,tomando Top Word Pairs in Tweet in G9:
[17] legal,tech [10] legal,operations [7] #legaltech,#clm [6] innovation,facilitated [6] legaltech,angel [6] #learning,#legaltech [5] looking,more [5] law,dept [5] same,thing [5] tech,same Top Word Pairs in Tweet in G10:
[42] innovation,ready [42] dsla,2023 [42] product,market [42] packed,innovation [42] market,fit [42] 2023,packed [42] ready,product [41] stacktical,dsla [12] full,read [11] stacktical,full 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 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: