The graph represents a network of 2,995 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, 20 September 2020 at 23:42 UTC.
The requested start date was Sunday, 20 September 2020 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, 21-hour, 20-minute period from Sunday, 06 September 2020 at 01:03 UTC to Saturday, 19 September 2020 at 22:24 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 : 2995
Unique Edges : 5369
Edges With Duplicates : 12924
Total Edges : 18293
Number of Edge Types : 5
Retweet : 4893
MentionsInRetweet : 9177
Mentions : 3114
Tweet : 1023
Replies to : 86
Self-Loops : 1238
Reciprocated Vertex Pair Ratio : 0.0456083051440569
Reciprocated Edge Ratio : 0.0872378402498884
Connected Components : 182
Single-Vertex Connected Components : 115
Maximum Vertices in a Connected Component : 2664
Maximum Edges in a Connected Component : 17713
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.497076
Graph Density : 0.000999662095476429
Modularity : 0.302001
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 2,995 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, 20 September 2020 at 23:42 UTC.
The requested start date was Sunday, 20 September 2020 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, 21-hour, 20-minute period from Sunday, 06 September 2020 at 01:03 UTC to Saturday, 19 September 2020 at 22:24 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 Entire Graph:
[1203] #fintech,#finserv [430] #finserv,#banking [389] financial,services [370] gt,gt [240] #finserv,#ai [209] #fintech,#banking [201] artificial,intelligence [163] #finserv,#fintech [157] worldwide,spending [157] expected,reach Top Word Pairs in Tweet in G1:
[565] #fintech,#finserv [165] #finserv,#banking [152] #finserv,#ai [94] #business,#devops [94] #devops,#fintech [87] #finserv,cc [78] #ai,#algorithms [75] well,done [71] #fintech,#banking [68] planet,compliance Top Word Pairs in Tweet in G2:
[126] #fintech,#finserv [83] adamdanyal,enricomolinari [72] aisoma_ag,enricomolinari [58] #ai,#iot [57] nanochip,generates [57] generates,body [57] body,cells [57] cells,heal [57] heal,body [57] body,parts Top Word Pairs in Tweet in G3:
[331] gt,gt [187] financial,services [146] artificial,intelligence [131] worldwide,spending [131] spending,artificial [131] intelligence,expected [131] expected,reach [131] reach,45 [131] 45,billion [131] billion,2021 Top Word Pairs in Tweet in G4:
[193] #finserv,#banking [186] #fintech,#finserv [38] #banking,#fintech [37] #finserv,#fintech [29] forbes,#finserv [27] #cx,#ux [24] financial,services [24] #finserv,orgs [24] biztechmagazine,#cdwsocial [23] #finserv,org Top Word Pairs in Tweet in G5:
[23] #fintech,#finserv [20] #lhoft,members [18] meet,#lhoft [16] #fintech,ripple [16] ripple,focused [16] focused,making [16] making,digital [16] digital,#payments [16] #payments,easy [16] easy,sending Top Word Pairs in Tweet in G6:
[81] well,done [80] week's,regtech [80] regtech,top [80] top,100 [80] 100,planetcomplianc [59] #fintech,#finserv [30] planetcomplianc,#regtech [29] #regtech,#fintech [28] #finserv,#technology [28] #technology,#startups Top Word Pairs in Tweet in G7:
[18] #fintech,#finserv [15] financial,institutions [14] series,deloitte [14] deloitte,institute [14] institute,international [14] international,finance [14] finance,explore [14] explore,common [14] common,challenges [14] challenges,key Top Word Pairs in Tweet in G8:
[13] #fintech,#finserv [7] #finserv,industry [7] hpc,ai [7] ai,wall [7] wall,street [6] support,#diversity [6] #diversity,#equity [6] #equity,#inclusion [6] #finserv,space [6] wall,st Top Word Pairs in Tweet in G9:
[83] #infographics,#productivity [83] #productivity,#digitalmarketing [83] #digitalmarketing,agency [83] agency,#growthhacking [83] #growthhacking,#startup [83] #startup,#mpgvip [83] #mpgvip,#defstar5 [44] kayleeh41488710,#infographics [44] #defstar5,#makeyourow [37] priyankasadhu5,#infographics Top Word Pairs in Tweet in G10:
[89] #fintech,#banking [77] #innovation,#fintech [40] #banking,#digitalbanking [34] #ux,#cx [31] nicolas2pinto,#tech [30] financial,services [22] #wallets,#ux [21] #finserv,#payments [21] #disruption,#fintech [18] #digitalbanking,#finserv 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 G6:
Top Replied-To in G8:
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:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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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: