The graph represents a network of 2,904 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, 03 June 2022 at 20:24 UTC.
The requested start date was Friday, 03 June 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, 19-hour, 8-minute period from Friday, 20 May 2022 at 00:02 UTC to Thursday, 02 June 2022 at 19:10 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 : 2904
Unique Edges : 2499
Edges With Duplicates : 5354
Total Edges : 7853
Number of Edge Types : 5
Tweet : 1408
Mentions : 1965
Retweet : 1723
MentionsInRetweet : 2496
Replies to : 261
Self-Loops : 1508
Reciprocated Vertex Pair Ratio : 0.062753036437247
Reciprocated Edge Ratio : 0.118095238095238
Connected Components : 557
Single-Vertex Connected Components : 311
Maximum Vertices in a Connected Component : 1713
Maximum Edges in a Connected Component : 5842
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.711934
Graph Density : 0.000435926926547914
Modularity : 0.448569
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,904 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, 03 June 2022 at 20:24 UTC.
The requested start date was Friday, 03 June 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, 19-hour, 8-minute period from Friday, 20 May 2022 at 00:02 UTC to Thursday, 02 June 2022 at 19:10 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:
[222] legal,tech [102] veuillez,demander [100] demander,député [99] reçu,pris [96] learn,more [95] pris,connaissance [93] law,firms [93] connaissance,mon [89] mon,courrier [80] courrier,l'été Top Word Pairs in Tweet in G1:
[102] veuillez,demander [100] demander,député [99] reçu,pris [95] pris,connaissance [93] connaissance,mon [89] mon,courrier [80] courrier,l'été [67] #legaltech,节省资源 [67] 节省资源,googleai [67] googleai,翻译 Top Word Pairs in Tweet in G2:
[60] legal,tech [56] #datagovernance,#wef [50] #csr,#datagovernance [48] #salesforce,#crm [46] #wef,#finserv [46] #insurtech,#csuite [45] #finserv,#cx [43] #futureofwork,#corpgov [41] #cx,#salesforce [41] #crm,#futureofwork Top Word Pairs in Tweet in G3:
[22] #legal,#legaltech [19] legaltech,news [18] #lawtech,#legaltech [15] legal,tech [14] #legaltech,#lawfirm [13] law,firm [13] law,firms [12] #lawfirm,#lawfirms [11] #lawyers,#lawfirms [11] learn,more Top Word Pairs in Tweet in G4:
[36] legal,tech [32] african,#legaltech [30] fav,african [30] #legaltech,bae [29] bae,made [29] made,news [28] leahmolatseli,fav [25] next,week [16] #legaltech,space [14] best,legal Top Word Pairs in Tweet in G5:
[32] firman,acuerdo [28] derechopractico,spainlegalexpo [26] abogacía,española [25] legaltech,abogacía [23] spainlegalexpo,oportunidad [23] oportunidad,despachos [23] despachos,empresas [23] empresas,#legaltech [23] #legaltech,manera [23] manera,distinta Top Word Pairs in Tweet in G6:
[15] legal,tech [14] use,nonlawyers [13] legaltech,summit [13] learn,more [12] summit,canada [10] #legaltech,company [10] use,technology [10] join,virtually [10] virtually,june [10] june,15 Top Word Pairs in Tweet in G7:
[52] #fintech,#legaltech [44] #cybersecurity,#fintech [19] without,private [19] private,access [19] #legaltech,#medicaltech [16] data,governance [16] chris_m_csh,without [13] access,everything [13] everything,public [13] public,#cybersecurity Top Word Pairs in Tweet in G8:
[12] #legalit,#legaltech [11] #legaltech,#lawtech [8] #tech,#technology [7] law,firms [7] cross,border [7] border,transfer [7] transfer,data [7] data,uganda [7] uganda,schrems [7] schrems,ii Top Word Pairs in Tweet in G9:
[11] information,governance [10] morning,show [9] #ediscovery,#legaltech [8] legal,technology [7] show,nickinglis [7] san,diego [6] #legaltech,products [6] technology,directory [6] missed,last [6] last,week's Top Word Pairs in Tweet in G10:
[27] weblaw,forum [26] forum,legaltech [9] #casemanagement,#intelligentautomation [8] juni,2022 [8] legaltech,zürich [7] legal,tech [7] artificial,intelligence [6] legaltech,findet [6] findet,2022 [6] zürich,statt Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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Top Replied-To in G7:
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 G6:
Top Mentioned in G7:
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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:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G10: