The graph represents a network of 3,960 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, 20 November 2020 at 22:16 UTC.
The requested start date was Friday, 20 November 2020 at 01:01 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, 23-hour, 30-minute period from Friday, 06 November 2020 at 01:30 UTC to Friday, 20 November 2020 at 01:00 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 : 3960
Unique Edges : 3226
Edges With Duplicates : 10288
Total Edges : 13514
Number of Edge Types : 5
Tweet : 2995
Replies to : 295
Mentions : 2760
Retweet : 3181
MentionsInRetweet : 4283
Self-Loops : 3101
Reciprocated Vertex Pair Ratio : 0.0577795306645632
Reciprocated Edge Ratio : 0.109246830723341
Connected Components : 643
Single-Vertex Connected Components : 393
Maximum Vertices in a Connected Component : 2550
Maximum Edges in a Connected Component : 10631
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.798587
Graph Density : 0.000342143332797538
Modularity : 0.373858
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 3,960 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, 20 November 2020 at 22:16 UTC.
The requested start date was Friday, 20 November 2020 at 01:01 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, 23-hour, 30-minute period from Friday, 06 November 2020 at 01:30 UTC to Friday, 20 November 2020 at 01:00 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:
[231] legal,tech [144] #legaltech,#lawtech [143] #thelegallowdown,#lawsuits [132] learn,more [119] #internetmarketing,#legaltech [115] #legaltech,#netsec [112] #infosecurity,#legaltech [112] legal,services [107] law,firms [104] #legaltech,#makingtechwork4u Top Word Pairs in Tweet in G1:
[66] #legaltech,#lawtech [62] british,#legal [59] #legal,#technology [51] legal,tech [50] #lawtech,#legal [48] well,done [47] #lawtech,#legaltech [46] top,50 [44] planetcompliance,top [44] 50,legaltech Top Word Pairs in Tweet in G2:
[33] legaltech,news [25] legal,tech [17] #legaltech,#legaltechnology [14] law,firms [14] learn,more [14] check,definitive [14] definitive,guide [14] guide,#legaltech [14] #legaltech,planetcompliance [14] planetcompliance,legaltech Top Word Pairs in Tweet in G3:
[55] #legaltech,bloqué [55] bloqué,par [55] par,cnbarreaux [54] lesrepublicains,lesrep_senat [40] aussi,soutenez [35] soutenez,lesrepublicains [31] lesrep_senat,leurs [28] leurs,copains [27] voilà,tout [27] tout,ça Top Word Pairs in Tweet in G4:
[77] #datascientist,#selfdrivingcars [77] #selfdrivingcars,#bigdata [77] #datascience,#ai [67] #bigdata,#analytics [67] #analytics,#datascience [67] #iiot,#python [57] #python,#rstats [42] hierarchy,#machinelearning [42] #machinelearning,#datascientist [42] #ai,#iiot Top Word Pairs in Tweet in G5:
[28] #legaltech,#lawtech [22] #legaltech,#report [20] #legalit,#legaltech [19] hour,power [17] join,november [17] november,26th [17] 26th,hour [17] power,#2 [17] #2,online [17] online,event Top Word Pairs in Tweet in G6:
[115] #internetmarketing,#legaltech [114] #legaltech,#netsec [111] #infosecurity,#legaltech [101] #legaltech,#makingtechwork4u [83] #legaltech,#marketing [68] #internet,#legaltech [57] #infosec,#legaltech [50] mimproxyble,#assange [48] #free,#legaltech [46] #legaltech,#marketingstrategy Top Word Pairs in Tweet in G7:
[23] 'observatorio,#legaltech [23] #legaltech,garrigues [23] garrigues,icade' [22] interrelación,derecho [21] estudio,divulgación [21] divulgación,interrelación [20] observatorio,legaltech [20] américa,latina [19] mañana,creado [19] creado,'observatorio Top Word Pairs in Tweet in G8:
[27] artificial,intelligence [14] legal,tech [14] #cloc2020,#legalops [11] #legaltech,#legal [11] legaltech,artificial [11] intelligence,market [10] #cloc,#cloc2020 [8] law,firms [8] #legaltech,#legalinnovation [8] intelligence,having Top Word Pairs in Tweet in G9:
[47] legal,tech [10] tech,konferenz [9] legal,technology [8] #legaltech,#legaltechnology [7] chancengleichheit,die [7] die,#anwalt [7] #anwalt,schaft [7] schaft,bmjv_bund [7] bmjv_bund,anwältinnen [7] anwältinnen,anwälten Top Word Pairs in Tweet in G10:
[35] #ediscovery,#legaltech [23] read,complete [23] luminance,adds [21] machine,learning [18] kl,software [18] software,technologies [18] legaltech,startup [18] startup,luminance [17] #docusign,#app [15] adds,asian Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
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 Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G5:
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Top Tweeters in G10: