The graph represents a network of 2,661 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, 13 May 2022 at 20:22 UTC.
The requested start date was Friday, 13 May 2022 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, 53-minute period from Friday, 29 April 2022 at 00:05 UTC to Thursday, 12 May 2022 at 23:59 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 : 2661
Unique Edges : 2347
Edges With Duplicates : 5660
Total Edges : 8007
Number of Edge Types : 5
Replies to : 180
Mentions : 1767
Retweet : 1939
MentionsInRetweet : 2651
Tweet : 1470
Self-Loops : 1637
Reciprocated Vertex Pair Ratio : 0.0665236051502146
Reciprocated Edge Ratio : 0.124748490945674
Connected Components : 525
Single-Vertex Connected Components : 312
Maximum Vertices in a Connected Component : 1476
Maximum Edges in a Connected Component : 5908
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.198707
Graph Density : 0.00049150497438636
Modularity : 0.402864
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,661 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, 13 May 2022 at 20:22 UTC.
The requested start date was Friday, 13 May 2022 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, 53-minute period from Friday, 29 April 2022 at 00:05 UTC to Thursday, 12 May 2022 at 23:59 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:
[197] #corpgov,#wef [197] #insurtech,#csuite [190] #wef,#finserv [189] #finserv,#csr [183] legal,tech [175] #crm,#insurtech [173] #salesforce,#corpgov [171] #csr,#crm [115] #aml,pep [113] learn,try Top Word Pairs in Tweet in G1:
[30] legal,tech [23] law,firms [20] #legaltech,#legaltechnology [20] law,firm [17] legaltech,news [16] learn,more [16] #lawtech,#legaltech [13] #lawfirm,#legaltech [12] gap,between [12] #legaltech,#lawfirm Top Word Pairs in Tweet in G2:
[33] #legaltech,#lawtech [30] #legalit,#legaltech [26] law,firms [20] legal,tech [19] law,firm [13] #legalops,#legaltech [12] legaltech,hub [12] legaltech,jobs [12] legal,technology [12] court,dockets Top Word Pairs in Tweet in G3:
[49] legal,tech [23] artificial,lawyer [23] weekend,gt [22] legal,industry [22] structured,data [19] #legalops,#legaltech [19] data,trends [19] trends,legal [19] industry,moving [19] moving,unstructured Top Word Pairs in Tweet in G4:
[192] #corpgov,#wef [192] #insurtech,#csuite [185] #wef,#finserv [184] #finserv,#csr [170] #crm,#insurtech [168] #salesforce,#corpgov [166] #csr,#crm [109] #aml,pep [107] learn,try [104] process,learn Top Word Pairs in Tweet in G5:
[31] derechopractico,#enjoylegaltech [28] startup,#legaltech [26] #legaltech,innovadora [23] innovadora,spainlegalexpo [21] quieres,saber [19] derechopractico,#estápasando [19] #enjoylegaltech,aticcolab [19] aticcolab,busca [19] busca,startup [19] spainlegalexpo,quieres Top Word Pairs in Tweet in G6:
[30] c'est,programme [30] s'opposer,l'opposition [30] l'opposition,où [30] où,programme [29] programme,larem_an [29] larem_an,s'opposer [29] programme,sinon [29] #legaltech,节省资源 [27] sinon,propose [27] propose,rationalisation Top Word Pairs in Tweet in G7:
[27] #fintech,#legaltech [24] #cybersecurity,#fintech [22] #govtech,#bugbounty [17] artificial,intelligence [16] digital,transformation [15] douglittlejr,#cybersecurity [15] #cybersecurity,#healthtech [14] africa,law [14] law,tech [14] tech,festival Top Word Pairs in Tweet in G8:
[6] acceso,gratuito [6] nuestra,#inkieta [6] mayo,junio [6] #noticias,#abogacia [6] #abogacia,legaltoday [5] #webinar,legaltech [5] legaltech,administración [5] administración,pública [5] pública,transformaciones [5] transformaciones,tendencias Top Word Pairs in Tweet in G9:
[31] legal,tech [27] american,legal [22] register,come [22] come,listen [22] listen,access [22] access,justice [22] justice,experts [22] experts,discuss [22] discuss,justice [22] justice,tech Top Word Pairs in Tweet in G10:
[38] eigener,sache [38] sache,tl [38] tl,dr [38] dr,habe [38] habe,jahr [38] jahr,frei [38] frei,genommen [38] genommen,erkunde [38] erkunde,die [38] die,welt Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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:
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Top Tweeters in G10: