The graph represents a network of 3,429 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, 28 January 2022 at 22:00 UTC.
The requested start date was Friday, 28 January 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, 23-hour, 38-minute period from Friday, 14 January 2022 at 01:21 UTC to Friday, 28 January 2022 at 01:00 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 : 3429
Unique Edges : 2783
Edges With Duplicates : 10883
Total Edges : 13666
Number of Edge Types : 5
Mentions : 3344
Retweet : 2917
MentionsInRetweet : 5389
Tweet : 1695
Replies to : 321
Self-Loops : 1810
Reciprocated Vertex Pair Ratio : 0.0626747437092265
Reciprocated Edge Ratio : 0.117956588467441
Connected Components : 562
Single-Vertex Connected Components : 328
Maximum Vertices in a Connected Component : 2166
Maximum Edges in a Connected Component : 11411
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.95569
Graph Density : 0.000388017911607801
Modularity : 0.3135
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 3,429 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, 28 January 2022 at 22:00 UTC.
The requested start date was Friday, 28 January 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, 23-hour, 38-minute period from Friday, 14 January 2022 at 01:21 UTC to Friday, 28 January 2022 at 01:00 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:
[340] visionary,impraveendalal [223] legal,tech [213] portal,visionary [206] #csr,#corpgov [201] odrindia,portal [189] learn,try [179] #corpgov,#aml [179] #aml,#crypto [178] #crypto,#finserv [178] #finserv,#wef Top Word Pairs in Tweet in G1:
[144] #legaltech,节省资源 [122] 节省资源,googleai [122] googleai,翻译 [69] ai,écrit [69] écrit,cet [69] cet,été [69] été,par [68] par,courrier [68] courrier,électronique [68] électronique,sans Top Word Pairs in Tweet in G2:
[72] legal,tech [29] law,firms [25] startup,alley [25] year,investments [24] 2021,record [24] record,year [24] investments,#legaltech [24] #legaltech,billion [24] billion,funding [24] funding,mergers Top Word Pairs in Tweet in G3:
[24] #legal,#legaltech [16] law,firm [15] legaltech,news [15] #legaltech,#legaltechnology [14] learn,more [12] law,firms [11] legal,tech [10] legal,technology [10] series,rounds [10] #legaltech,#lawfirm Top Word Pairs in Tweet in G4:
[340] visionary,impraveendalal [213] portal,visionary [206] #csr,#corpgov [201] odrindia,portal [188] learn,try [179] #corpgov,#aml [179] #aml,#crypto [178] #crypto,#finserv [178] #finserv,#wef [158] #wef,#datagovernance Top Word Pairs in Tweet in G5:
[28] #gdpr,#govtech [27] douglittlejr,#cybersecurity [22] #healthtech,#bugbounty [22] law,firms [20] #cybersecurity,#fintech [20] #security,#emergingtech [20] #emergingtech,#cybersecurity [20] #authentication,#regulation [20] #regulation,#compliance [20] #compliance,#fintech Top Word Pairs in Tweet in G6:
[33] #legaltech,startup [32] effort,share [32] share,more [32] more,stories [32] stories,chatting2 [32] chatting2,adedunmade [32] adedunmade,lawyer [32] lawyer,author [32] author,#legaltech [32] startup,founder Top Word Pairs in Tweet in G7:
[34] #legalit,#legaltech [33] #legaltech,#lawtech [12] excited,welcome [12] sponsor,#lawfest22 [12] #lawfest22,zealand [12] zealand,premier [12] premier,#legalinnovation [11] legal,tech [11] learn,more [10] law,firms Top Word Pairs in Tweet in G8:
[20] #tech,#technology [18] #law,#legal [16] #legaltech,#tech [16] #technology,#lawtech [16] #lawtech,#law [15] #legalops,#legaltech [15] 1999,constitution [15] #funny,#legalmemes [15] #legalmemes,#legaljoke [15] #legaljoke,#legaltech Top Word Pairs in Tweet in G9:
[82] fintech,hot [82] hot,yeah [82] yeah,take [82] take,eyes [82] eyes,healthtech [82] healthtech,agritech [82] agritech,logistics [82] logistics,cleantech [82] cleantech,others [82] others,interesting Top Word Pairs in Tweet in G10:
[20] code,software [15] legalshelter,primera [15] primera,incubadora [15] incubadora,#legaltech [14] adaptivepty,code [14] derechopractico,#enjoylegaltech [13] #legaltech,españa [11] #legaltech,#servicemanagement [10] legal,tech [9] plazo,inscripción Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G10: