The graph represents a network of 3,136 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, 04 February 2022 at 22:01 UTC.
The requested start date was Friday, 04 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, 17-hour, 59-minute period from Friday, 21 January 2022 at 01:10 UTC to Thursday, 03 February 2022 at 19:09 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 : 3136
Unique Edges : 2574
Edges With Duplicates : 9919
Total Edges : 12493
Number of Edge Types : 5
Mentions : 3449
Retweet : 2417
MentionsInRetweet : 4734
Replies to : 326
Tweet : 1567
Self-Loops : 1636
Reciprocated Vertex Pair Ratio : 0.0628541988665636
Reciprocated Edge Ratio : 0.118274357731459
Connected Components : 525
Single-Vertex Connected Components : 309
Maximum Vertices in a Connected Component : 1942
Maximum Edges in a Connected Component : 10398
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 5.97223
Graph Density : 0.000419677440354132
Modularity : 0.315593
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 3,136 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, 04 February 2022 at 22:01 UTC.
The requested start date was Friday, 04 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, 17-hour, 59-minute period from Friday, 21 January 2022 at 01:10 UTC to Thursday, 03 February 2022 at 19:09 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:
[218] legal,tech [212] visionary,impraveendalal [175] #legaltech,节省资源 [171] portal,visionary [171] 节省资源,googleai [171] googleai,翻译 [137] #csr,#corpgov [135] odrindia,impraveendalal [135] odrindia,portal [135] rbi,icicibank Top Word Pairs in Tweet in G1:
[175] #legaltech,节省资源 [171] 节省资源,googleai [171] googleai,翻译 [89] ai,écrit [88] sujet,notre [88] notre,très [88] très,chère [88] chère,justice_gouv [88] écrit,cet [88] cet,été Top Word Pairs in Tweet in G2:
[85] legal,tech [45] #lawtwitter,#legaltech [41] law,firm [31] startup,alley [25] 2021,record [25] record,year [25] year,investments [25] investments,#legaltech [25] #legaltech,billion [25] billion,funding Top Word Pairs in Tweet in G3:
[20] #legal,#legaltech [15] legaltech,news [13] リーガルテックグループjapanmade社,世界初ブロックチェーンpr動画付き真贋判定システム [13] 世界初ブロックチェーンpr動画付き真贋判定システム,co [12] learn,more [12] law,firm [12] #lawtech,#legaltech [11] #legaltech,#legaltechnology [11] #law,#legal [10] #legaltech,#law Top Word Pairs in Tweet in G4:
[29] one,effective [29] effective,ways [29] ways,discovered [29] discovered,create [29] create,niche [29] niche,build [29] build,repport [29] repport,within [29] within,relatively [29] relatively,niche Top Word Pairs in Tweet in G5:
[33] #fintech,#legaltech [30] douglittlejr,#cybersecurity [30] #cybersecurity,#fintech [23] #healthtech,#bugbounty [20] #ciso,#gdpr [20] #gdpr,#govtech [16] #legaltech,#healthtech [15] #bugbounty,#ciso [14] #legaltech,#govtech [14] #govtech,#gdpr Top Word Pairs in Tweet in G6:
[21] code,software [15] adaptivepty,code [11] #legaltech,#servicemanagement [8] software,transforming [8] transforming,#legaltech [8] #servicemanagement,landscapes [8] more,adaptive [8] #nocode,#legaltech [7] #lawtwitter,#legaltech [7] read,more Top Word Pairs in Tweet in G7:
[33] #legalit,#legaltech [31] #legaltech,#lawtech [8] law,firm [8] head,over [8] over,website [7] distinguished,peer [7] peer,awards [7] tiger,eye [7] #legal,#legaltech [6] legal,technology Top Word Pairs in Tweet in G8:
[15] #legaltech,trends [13] proud,support [13] support,africa [13] africa,tech [13] tech,summit [13] summit,masterclass [13] masterclass,hosted [13] hosted,africatechsmt [13] africatechsmt,teammates [12] hiveadvisory,proud Top Word Pairs in Tweet in G9:
[27] legaltech,news [20] artificial,intelligence [19] legaltech,artificial [19] intelligence,market [17] #legal,#law [13] #legaltech,#legalit [11] #lawyer,#lawfirm [11] #legalit,#legaltechnology [10] #legaltechnology,#legal [10] #law,#lawyer Top Word Pairs in Tweet in G10:
[135] #csr,#corpgov [109] #corpgov,#aml [109] #aml,#crypto [108] #crypto,#finserv [108] #finserv,#wef [97] #wef,#datagovernance [96] learn,try [74] martinhoyes,#csr [65] #datagovernance,#futureofwork [64] #futureofwork,#insurtech Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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 G9:
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: