The graph represents a network of 2,587 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 31 May 2020 at 02:51 UTC.
The requested start date was Sunday, 31 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 9-day, 15-hour, 3-minute period from Wednesday, 20 May 2020 at 18:45 UTC to Saturday, 30 May 2020 at 09:48 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 : 2587
Unique Edges : 3630
Edges With Duplicates : 9928
Total Edges : 13558
Number of Edge Types : 5
Mentions : 2569
Replies to : 74
Retweet : 3635
MentionsInRetweet : 6653
Tweet : 627
Self-Loops : 747
Reciprocated Vertex Pair Ratio : 0.0457133818411895
Reciprocated Edge Ratio : 0.0874300408410225
Connected Components : 133
Single-Vertex Connected Components : 78
Maximum Vertices in a Connected Component : 2324
Maximum Edges in a Connected Component : 13073
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.41032
Graph Density : 0.000988193989161705
Modularity : 0.332195
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 2,587 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 31 May 2020 at 02:51 UTC.
The requested start date was Sunday, 31 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 9-day, 15-hour, 3-minute period from Wednesday, 20 May 2020 at 18:45 UTC to Saturday, 30 May 2020 at 09:48 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 : #FinServ
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 G2:
[344] ty,wef [145] wef,enricomolinari [86] #ai,#iot [82] enricomolinari,#stem [75] enricomolinari,#fintech [75] indian,state [75] state,andhra [75] andhra,pradesh [75] pradesh,uses [74] uses,#blockchain Top Word Pairs in Tweet in G3:
[253] gt,gt [227] mikequindazzi,gt [81] gt,#fintech [80] #ai,enabling [74] enabling,key [63] key,#financialservices [63] #financialservices,opening [63] opening,opportunities [63] link,gt [63] #ai,#iot Top Word Pairs in Tweet in G4:
[974] #finserv,#banking [175] #fintech,#finserv [119] ripplenet,member [118] member,moneygram [118] moneygram,notes [118] notes,18 [118] 18,growth [118] growth,digital [94] digital,remittances [77] remittances,ambcrypto Top Word Pairs in Tweet in G5:
[148] gt,gt [127] #fintech,#finserv [101] financial,services [101] #neobank,africans [101] africans,anywhere [101] anywhere,world [101] world,eversendapp [101] eversendapp,winner [101] winner,slush [101] slush,2019 Top Word Pairs in Tweet in G6:
[26] #startup,#funding [19] #funding,#financing [14] #financing,stages [13] stages,ravikikan [13] ravikikan,#entrepreneurs [13] #entrepreneurship,#tech [13] ravikikan,#startup [13] #entrepreneurs,#startup [13] #startup,#startupchats [13] #startupchats,#entrepreneurship Top Word Pairs in Tweet in G7:
[57] regulation,day [57] covid,19 [57] #fintech,#finserv [57] international,leadership [57] leadership,perspectives [57] day,covid [55] role,technology [51] 19,role [51] venture,capital [51] the_lhoft,international Top Word Pairs in Tweet in G8:
[16] #fintech,#finserv [16] #arora,#finserv [14] #finserv,9417232598 [11] #finserv,#banking [11] gt,gt [11] financial,services [10] #finserv,org [10] #health,#insurance [10] #finserv,#fintech [9] #databackup,#finserv Top Word Pairs in Tweet in G9:
[15] #fintech,#finserv [12] gt,gt [9] financial,services [9] machine,learning [9] #finserv,#banking [7] #dl,#fintech [5] #finserv,#iot [5] #finserv,#insurtech [5] financial,institutions [4] domain,popular Top Word Pairs in Tweet in G10:
[59] #fintech,#banking [20] indian,state [12] state,using [11] using,#blockchain [8] #blockchain,government [8] government,business [8] business,#fintech [8] #banking,#cryptocurrency [8] #cryptocurrency,#finserv [7] julez_norton,indian 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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