The graph represents a network of 2,481 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, 02 September 2022 at 20:35 UTC.
The requested start date was Friday, 02 September 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, 24-minute period from Friday, 19 August 2022 at 00:15 UTC to Thursday, 01 September 2022 at 23:39 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 : 2481
Unique Edges : 1785
Edges With Duplicates : 12263
Total Edges : 14048
Number of Edge Types : 5
MentionsInRetweet : 4127
Retweet : 2483
Mentions : 5258
Tweet : 1908
Replies to : 272
Self-Loops : 2337
Reciprocated Vertex Pair Ratio : 0.0583219645293315
Reciprocated Edge Ratio : 0.110215920077345
Connected Components : 486
Single-Vertex Connected Components : 299
Maximum Vertices in a Connected Component : 1412
Maximum Edges in a Connected Component : 11950
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.308629
Graph Density : 0.000504316677718402
Modularity : 0.214033
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 2,481 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, 02 September 2022 at 20:35 UTC.
The requested start date was Friday, 02 September 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, 24-minute period from Friday, 19 August 2022 at 00:15 UTC to Thursday, 01 September 2022 at 23:39 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:
[421] #csuite,#legaltech [375] #legaltech,#hranalytics [373] #wef,#hr [361] #hranalytics,#corpgov [329] #finserv,#wef [270] #corpgov,#finserv [234] learn,more [197] #corpgov,#csuite [193] legal,tech [180] help,#hr Top Word Pairs in Tweet in G1:
[88] legal,tech [57] #iltacon22,#legaltech [42] #ediscovery,#legaltech [34] #legaltech,#ediscovery [29] legal,technology [28] #iltacon22,#iltacon2022 [27] #weareilta,#legaltech [22] #legaltech,#artificialintelligence [21] law,firms [21] law,firm Top Word Pairs in Tweet in G2:
[74] legaltech,news [20] legal,tech [16] law,firm [15] law,firms [14] #legaltech,#lawfirm [12] legal,technology [10] #lawtech,#legaltech [10] know,more [10] learn,more [10] legal,market Top Word Pairs in Tweet in G3:
[104] courpenaleint,iacourthr [91] legaltech_news,refugeelegal [87] wipo,iplawalerts [70] reuterslegal,thelegalintel [69] occrp,pandorapapers [68] canadaenperu,peru [59] ap,afp [58] eucourtpress,courpenaleint [55] refugeelegal,reuterslegal [54] unidir,un_hrc Top Word Pairs in Tweet in G4:
[421] #csuite,#legaltech [375] #legaltech,#hranalytics [373] #wef,#hr [360] #hranalytics,#corpgov [329] #finserv,#wef [270] #corpgov,#finserv [196] #corpgov,#csuite [180] help,#hr [170] learn,more [164] #csr,#wef Top Word Pairs in Tweet in G5:
[27] #legalit,#legaltech [24] #legaltech,#lawtech [21] #ediscovery,#legaltech [17] #lexisplus,#lexisnexis [17] #lexisnexis,#lexispluscanada [17] #lexispluscanada,#legaltech [16] #legaltech,iltanet [16] legal,tech [16] #legaltech,#legalresearch [15] booth,301 Top Word Pairs in Tweet in G6:
[122] abogados,tenemos [122] tenemos,opción [122] opción,avanzar [122] avanzar,tecnología [122] tecnología,aprender [122] aprender,contratos [122] contratos,inteligentes [122] inteligentes,ia [122] ia,blockchain [122] blockchain,legaltech Top Word Pairs in Tweet in G7:
[78] #gdpr,#healthtech [75] #cybersecurity,#fintech [75] #fintech,#legaltech [61] douglittlejr,#cybersecurity [59] #healthtech,#developer [49] #legaltech,#bugbounty [49] #bugbounty,#gdpr [32] #govtech,#bugbounty [29] #legaltech,#govtech [29] #bugbounty,#ciso Top Word Pairs in Tweet in G8:
[14] monday,start [14] start,teaching [14] teaching,coding [14] coding,law [14] law,guess [14] guess,year [14] year,decided [14] decided,finally [14] finally,license [14] license,course Top Word Pairs in Tweet in G9:
[57] données,caractère [57] caractère,personnel [52] ℹ,êtes [52] êtes,confronté [52] confronté,violation [52] violation,données [52] personnel,#senegal [52] #senegal,saisissez [52] saisissez,directement [52] directement,cdpsenegal Top Word Pairs in Tweet in G10:
[6] #metaverse,#legaltech [6] web,web [5] learn,more [4] #lawyers,#metaverse [4] cost,analytics [4] magic,circle [4] circle,law [4] law,firm [4] long,#toronto [4] #toronto,#legaltech Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: