The graph represents a network of 3,163 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, 05 November 2021 at 21:05 UTC.
The requested start date was Friday, 05 November 2021 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, 23-hour, 21-minute period from Friday, 22 October 2021 at 00:38 UTC to Friday, 05 November 2021 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 : 3163
Unique Edges : 2878
Edges With Duplicates : 8837
Total Edges : 11715
Number of Edge Types : 5
Mentions : 2549
Retweet : 2812
MentionsInRetweet : 4232
Tweet : 1967
Replies to : 155
Self-Loops : 2090
Reciprocated Vertex Pair Ratio : 0.0688723835246455
Reciprocated Edge Ratio : 0.128869235628553
Connected Components : 514
Single-Vertex Connected Components : 323
Maximum Vertices in a Connected Component : 2030
Maximum Edges in a Connected Component : 9315
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.764972
Graph Density : 0.000474833238446674
Modularity : 0.367449
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 3,163 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, 05 November 2021 at 21:05 UTC.
The requested start date was Friday, 05 November 2021 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, 23-hour, 21-minute period from Friday, 22 October 2021 at 00:38 UTC to Friday, 05 November 2021 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:
[248] #aml,#crypto [198] #csr,#corpgov [186] #insurtech,#fintech [185] legal,tech [168] #wef,#datagovernance [164] #fintech,#regtech [162] #finserv,#wef [162] #datagovernance,#futureofwork [156] #futureofwork,#insurtech [155] #corpgov,#aml Top Word Pairs in Tweet in G1:
[65] law,firms [52] legal,tech [49] legal,technology [35] #legaltech,#lawtech [34] american,legal [30] law,firm [26] #legalit,#legaltech [25] legal,trends [25] trends,report [25] technology,awards Top Word Pairs in Tweet in G2:
[27] legal,tech [22] #ediscovery,#legaltech [20] legaltech,news [14] law,firms [14] law,news [13] #law,#legal [13] news,#lawyers [13] #lawyers,#lawfirms [13] #lawfirms,#legal [13] #legal,#humanrights Top Word Pairs in Tweet in G3:
[248] #aml,#crypto [198] #csr,#corpgov [186] #insurtech,#fintech [168] #wef,#datagovernance [164] #fintech,#regtech [162] #finserv,#wef [162] #datagovernance,#futureofwork [156] #futureofwork,#insurtech [155] #corpgov,#aml [155] #crypto,#finserv Top Word Pairs in Tweet in G4:
[20] amplía,oferta [20] oferta,soluciones [19] #legalops,#legaltech [18] #legal,#legaltech [17] innovation,lab [16] #legal,#law [14] #law,#legalops [14] soluciones,#legaltech [12] programa,aceleración [12] #startups,seleccionadas Top Word Pairs in Tweet in G5:
[42] #curation,#legaltech [22] rdv,transformations [21] transformations,droit [17] lève,million [15] 18,19 [14] septeo,broadcast [14] broadcast,studio [14] studio,#ia [14] #ia,service [14] service,notariat Top Word Pairs in Tweet in G6:
[14] #legaltech,节省资源 [14] 节省资源,googleai [14] googleai,翻译 [13] redressement,judiciaire [13] judiciaire,menacé [13] menacé,liquidation [13] liquidation,suite [13] suite,ans [13] ans,plaintes [13] plaintes,constats Top Word Pairs in Tweet in G7:
[43] dr,patricia [43] patricia,boshe [43] boshe,data [43] data,protection [43] protection,consultant [43] consultant,researcher [43] researcher,co [43] co,founder [43] founder,co [43] co,director Top Word Pairs in Tweet in G8:
[13] legal,tech [13] #lawyers,#legaltech [12] #lawfirms,#lawyers [10] law,firms [6] law,firm [5] learn,more [4] secure,business [4] working,home [3] 'justify,commute' [3] commute',law Top Word Pairs in Tweet in G9:
[57] dsla,protocol [45] risk,management [36] bought,back [36] back,burned [36] burned,20 [36] 20,5m [36] 5m,dsla [36] dsla,yesterday [35] stacktical,dsla [35] stacktical,bought Top Word Pairs in Tweet in G10:
[12] rene,fernando [12] fernando,urueña [12] urueña,hernandez [11] episode,#podcast [11] #podcast,#ruleoflawrules [11] #ruleoflawrules,available [11] available,rene [11] hernandez,gives [11] gives,recent [11] recent,#insights Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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 G5:
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Top Tweeters in G10: