The graph represents a network of 3,063 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, 18 February 2022 at 21:58 UTC.
The requested start date was Friday, 18 February 2022 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, 42-minute period from Friday, 04 February 2022 at 01:18 UTC to Friday, 18 February 2022 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 : 3063
Unique Edges : 2749
Edges With Duplicates : 6900
Total Edges : 9649
Number of Edge Types : 5
Mentions : 1962
Retweet : 2365
MentionsInRetweet : 3428
Tweet : 1689
Replies to : 205
Self-Loops : 1803
Reciprocated Vertex Pair Ratio : 0.0661094224924012
Reciprocated Edge Ratio : 0.124019957234498
Connected Components : 537
Single-Vertex Connected Components : 322
Maximum Vertices in a Connected Component : 1968
Maximum Edges in a Connected Component : 7729
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.456534
Graph Density : 0.000448773023207611
Modularity : 0.413393
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 3,063 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, 18 February 2022 at 21:58 UTC.
The requested start date was Friday, 18 February 2022 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, 42-minute period from Friday, 04 February 2022 at 01:18 UTC to Friday, 18 February 2022 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:
[302] #csr,#shrm [289] #shrm,#startup [289] #startup,#csuite [271] #corpgov,#hr [203] #hr,#hrtech [193] #hrtech,#csr [177] legal,tech [175] #hranalytics,#wef [175] #wef,#corpgov [166] martinhoyes,#hranalytics Top Word Pairs in Tweet in G1:
[58] legal,tech [39] #lawtwitter,#legaltech [24] women,#legaltech [23] #legaltech,products [21] years,writing [21] writing,launches [21] launches,companies [21] companies,#legaltech [21] products,proud [21] proud,announce Top Word Pairs in Tweet in G2:
[31] legaltech,news [29] legal,tech [22] learn,more [22] #legal,#legaltech [21] law,firms [13] law,firm [12] #legaltech,#legalinnovation [10] #lawfirm,#lawfirms [10] #security,#emergingtech [10] #emergingtech,#cybersecurity Top Word Pairs in Tweet in G3:
[30] #legaltech,#legalit [28] #legaltech,#ediscovery [25] #legalit,#legaltech [23] #legalit,#legaltechnology [22] #legaltech,#lawtech [22] #legaltechnology,#legal [21] #ediscovery,#legaltech [21] #legal,#law [20] legal,tech [20] data,privacy Top Word Pairs in Tweet in G4:
[35] #legaltech,节省资源 [35] 节省资源,googleai [35] googleai,翻译 [19] sujet,notre [19] notre,très [19] très,chère [19] chère,justice_gouv [19] justice_gouv,eu_justice [19] cet,été [19] par,courrier Top Word Pairs in Tweet in G5:
[21] #legal,#legaltech [17] ai,law [15] #legaltech,#lawyers [15] #legalops,#legaltech [14] 1999,constitution [14] law,firms [14] #law,#legal [14] legal,compliance [13] #legaltech,#legaltechnology [13] #legaltech,#lawtech Top Word Pairs in Tweet in G6:
[22] legaltech,news [18] cdpsenegal,#avistrimestriel [18] #avistrimestriel,consultez [18] consultez,délibération [18] délibération,portée [18] portée,générale [18] générale,2021 [18] 2021,558 [18] 558,cdp [18] cdp,30 Top Word Pairs in Tweet in G7:
[23] business,law [21] law,conference [12] next,week [11] month,next [11] week,business [11] conference,themed [11] themed,use [11] use,tech [11] tech,practice [10] leahmolatseli,month Top Word Pairs in Tweet in G8:
[27] derecho,tecnológico [16] derechopractico,#enjoylegaltech [16] socio,departamento [16] departamento,derecho [15] incorpora,felipea_herrera [15] felipea_herrera,socio [14] attolon1,incorpora [12] #legaltech,#tech [12] #tech,#technology [12] #technology,#lawtech Top Word Pairs in Tweet in G9:
[10] particular,solution [7] #legaltech,#lawtech [6] garbage,garbage [6] solution,more [6] 2022,00 [6] inspiring,women [6] women,tech [6] tech,interview [5] contracts,serious [5] serious,garbage Top Word Pairs in Tweet in G10:
[302] #csr,#shrm [289] #shrm,#startup [289] #startup,#csuite [271] #corpgov,#hr [203] #hr,#hrtech [193] #hrtech,#csr [175] #hranalytics,#wef [175] #wef,#corpgov [166] martinhoyes,#hranalytics [111] martinhoyes,#hrtech Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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:
Top Mentioned in G2:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G9:
Top Tweeters in G10: