The graph represents a network of 3,969 Twitter users whose tweets in the requested range contained "legaltech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 23 October 2020 at 21:05 UTC.
The requested start date was Friday, 23 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 11-hour, 30-minute period from Friday, 09 October 2020 at 12:29 UTC to Friday, 23 October 2020 at 00:00 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 3969
Unique Edges : 3725
Edges With Duplicates : 10491
Total Edges : 14216
Number of Edge Types : 5
Tweet : 2733
MentionsInRetweet : 5239
Mentions : 2508
Replies to : 229
Retweet : 3507
Self-Loops : 2840
Reciprocated Vertex Pair Ratio : 0.0591073582629674
Reciprocated Edge Ratio : 0.111617312072893
Connected Components : 628
Single-Vertex Connected Components : 384
Maximum Vertices in a Connected Component : 2714
Maximum Edges in a Connected Component : 12013
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.157589
Graph Density : 0.000390247198042897
Modularity : 0.383258
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 3,969 Twitter users whose tweets in the requested range contained "legaltech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 23 October 2020 at 21:05 UTC.
The requested start date was Friday, 23 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 11-hour, 30-minute period from Friday, 09 October 2020 at 12:29 UTC to Friday, 23 October 2020 at 00:00 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
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:
[246] legal,tech [162] #infosecurity,#legaltech [159] #legaltech,#lawtech [144] legal,technology [144] #internet,#legaltech [143] law,firms [133] law,firm [126] #legaltech,#netsec [92] #lawtech,#legaltech [78] #legaltech,#marketingstrategy Top Word Pairs in Tweet in G1:
[79] legal,technology [62] #lawtwitter,#legaltech [58] #legaltech,#lawtech [53] legaltech,hub [49] #lawtech,#legal [47] directory,global [47] global,legal [47] technology,tools [46] boom,launched [46] launched,today Top Word Pairs in Tweet in G2:
[157] #infosecurity,#legaltech [138] #internet,#legaltech [123] #legaltech,#netsec [77] #legaltech,#marketingstrategy [74] #legaltech,#makingtechwork4u [68] #legaltech,#online [68] #infosec,#legaltech [67] #legaltech,#marketing [64] #internetmarketing,#legaltech [53] mimproxyble,#assange Top Word Pairs in Tweet in G3:
[32] legal,tech [30] legaltech,news [16] law,firms [16] law,firm [15] #ediscovery,#legaltech [12] legal,technology [10] #legaltech,#lawyers [9] learn,more [8] #legaltech,#lawyer [8] #legaltech,#software Top Word Pairs in Tweet in G4:
[43] transformación,digital [38] derechopractico,#estápasando [31] innovación,transformación [30] cómo,lograr [30] lograr,experto [30] experto,innovación [30] digital,legaltech [30] legaltech,visión [30] visión,experiencia [28] #argentina,20 Top Word Pairs in Tweet in G5:
[27] law,firms [20] law,firm [18] #lawtech,#legaltech [16] #legalgeek,#lawtech [16] highq,bridges [16] bridges,gap [16] gap,between [16] between,law [16] firms,clients [16] clients,attend Top Word Pairs in Tweet in G6:
[36] author,book [36] book,whole [36] whole,published [36] published,author [36] author,yall [36] yall,yours [35] leahmolatseli,author [35] yours,ht [29] legal,tech [22] startups,innovation Top Word Pairs in Tweet in G7:
[43] #legalit,#legaltech [42] #legaltech,#lawtech [21] #ediscovery,#legaltech [17] legal,tech [16] law,firm [13] lupton,fawcett [13] fawcett,chooses [13] chooses,zylpha [13] zylpha,document [13] document,bundling Top Word Pairs in Tweet in G8:
[36] gt,gt [28] technological,transformation [18] #ai,technologies [17] technologies,re [17] re,shaping [17] shaping,ways [17] ways,lawyers [17] lawyers,work [17] work,read [17] read,story Top Word Pairs in Tweet in G9:
[19] term,far [18] well,look [18] look,top [18] top,scoring [18] scoring,merits [18] merits,brief [18] brief,term [18] far,congrats [18] congrats,smmarotta [17] legalwritingpro,well Top Word Pairs in Tweet in G10:
[19] #chatbot,#chatbots [19] kl,software [19] software,technologies [18] #chatbots,#legalops [14] #legaltech,#lawtech [13] #legalops,#legaltech [13] #docusign,#app [12] #ai,#lawfirm [12] #legaltech,#legalit [12] klstinc,kl Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
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Top Replied-To in G8:
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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:
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Top Tweeters in G10: