The graph represents a network of 2,784 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, 20 May 2022 at 20:23 UTC.
The requested start date was Friday, 20 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, 34-minute period from Friday, 06 May 2022 at 00:18 UTC to Thursday, 19 May 2022 at 23:53 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 : 2784
Unique Edges : 2488
Edges With Duplicates : 6077
Total Edges : 8565
Number of Edge Types : 5
Replies to : 179
Retweet : 2035
MentionsInRetweet : 2844
Mentions : 1861
Tweet : 1646
Self-Loops : 1823
Reciprocated Vertex Pair Ratio : 0.0726015557476232
Reciprocated Edge Ratio : 0.135374697824335
Connected Components : 546
Single-Vertex Connected Components : 337
Maximum Vertices in a Connected Component : 1578
Maximum Edges in a Connected Component : 6406
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.112218
Graph Density : 0.00048051903800166
Modularity : 0.407591
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,784 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, 20 May 2022 at 20:23 UTC.
The requested start date was Friday, 20 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, 34-minute period from Friday, 06 May 2022 at 00:18 UTC to Thursday, 19 May 2022 at 23:53 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:
[228] legal,tech [205] #insurtech,#csuite [171] #corpgov,#wef [157] #wef,#finserv [152] #crm,#insurtech [136] #finserv,#csr [107] #csr,#crm [98] #salesforce,#corpgov [96] law,firms [96] #salesforce,#crm Top Word Pairs in Tweet in G1:
[74] legal,tech [38] #legaltech,#lawtech [35] #legalit,#legaltech [27] #legalops,#legaltech [25] law,firms [21] learn,more [19] artificial,lawyer [16] legaltech,hub [16] legaltech,news [16] lawyer,weekend Top Word Pairs in Tweet in G2:
[39] legal,tech [19] law,firms [17] legaltech,news [17] tech,startup [13] #cyberresilience,bridging [13] bridging,gap [13] gap,between [13] between,data [13] data,security [13] security,teams Top Word Pairs in Tweet in G3:
[25] innovators,asia [17] details,#lawtwitter [16] women,legal [16] source,#lawtwitter [15] #lawtwitter,#womenintech [14] legal,innovators [14] thread,30 [14] 30,leading [14] leading,women [14] women,innovators Top Word Pairs in Tweet in G4:
[31] #legaltech,节省资源 [31] 节省资源,googleai [31] googleai,翻译 [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 Top Word Pairs in Tweet in G5:
[31] #fintech,#legaltech [28] #govtech,#bugbounty [27] douglittlejr,#cybersecurity [26] #cybersecurity,#fintech [24] #cybersecurity,#healthtech [19] #ciso,#govtech [17] #healthtech,#fintech [17] #legaltech,#gdpr [13] possible,#cybersecurity [12] #casemanagement,#intelligentautomation Top Word Pairs in Tweet in G6:
[17] coming,conclusion [17] conclusion,legaltech [17] legaltech,finding [17] finding,easier [17] easier,investors [17] investors,customers [16] alexhamiltonrad,coming [9] legaltech,firm [9] firm,pocketlaw_uk [9] pocketlaw_uk,smart Top Word Pairs in Tweet in G7:
[14] legal,tech [13] weblaw,forum [13] forum,legaltech [10] sache,die [10] die,nachvollziehen [10] nachvollziehen,nie [10] nie,werde [10] werde,hass [10] hass,gegenüber [10] gegenüber,anderen Top Word Pairs in Tweet in G8:
[25] #chatbot,#chatbots [25] #chatbots,#legalops [22] #legal,#legaltech [20] #legalops,#legaltech [17] document,review [16] klobotai,klobot [15] learn,more [14] #lawtech,#legaltech [13] legal,workspace [13] #ediscovery,#legaltech Top Word Pairs in Tweet in G9:
[35] startup,#legaltech [20] derechopractico,#enjoylegaltech [19] quieres,saber [18] #enjoylegaltech,aticcolab [18] aticcolab,busca [18] busca,startup [18] #legaltech,innovadora [18] innovadora,spainlegalexpo [18] spainlegalexpo,quieres [17] startups,#legaltech Top Word Pairs in Tweet in G10:
[25] american,legal [24] legal,tech [23] access,justice [22] register,come [22] come,listen [22] listen,access [22] justice,experts [22] experts,discuss [22] discuss,justice [22] justice,tech Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: