The graph represents a network of 2,646 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, 11 April 2021 at 01:31 UTC.
The requested start date was Sunday, 11 April 2021 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 10-day, 10-hour, 9-minute period from Tuesday, 30 March 2021 at 01:21 UTC to Friday, 09 April 2021 at 11:30 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 : 2646
Unique Edges : 4874
Edges With Duplicates : 17112
Total Edges : 21986
Number of Edge Types : 5
MentionsInRetweet : 11695
Mentions : 3819
Replies to : 52
Retweet : 5853
Tweet : 567
Self-Loops : 683
Reciprocated Vertex Pair Ratio : 0.0402285170197572
Reciprocated Edge Ratio : 0.0773455377574371
Connected Components : 114
Single-Vertex Connected Components : 60
Maximum Vertices in a Connected Component : 2398
Maximum Edges in a Connected Component : 21593
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.243071
Graph Density : 0.00124880870222485
Modularity : 0.257685
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,646 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, 11 April 2021 at 01:31 UTC.
The requested start date was Sunday, 11 April 2021 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 10-day, 10-hour, 9-minute period from Tuesday, 30 March 2021 at 01:21 UTC to Friday, 09 April 2021 at 11:30 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:
[1076] #fintech,#finserv [772] mashable,enricomolinari [698] wef,enricomolinari [388] #banking,#fintech [361] #finserv,#banking [323] enricomolinari,#renewables [308] #finserv,#insurtech [307] #fintech,#insurtech [278] #insurtech,#proptech [262] #ai,#iot Top Word Pairs in Tweet in G1:
[730] mashable,enricomolinari [659] wef,enricomolinari [393] #fintech,#finserv [300] enricomolinari,#renewables [252] #insurtech,#proptech [245] #ai,#iot [230] #renewables,#fintech [224] #finserv,#insurtech [224] #proptech,#regtech [216] #iiot,#bigdata Top Word Pairs in Tweet in G2:
[512] #fintech,#finserv [200] #finserv,#banking [159] #banking,#fintech [96] #finserv,#ai [91] digital,banking [85] #fintech,#insurtech [77] #digitaltransformation,#fintech [77] #finserv,#fintech [76] #banking,#finserv [68] #finserv,spirosmargaris Top Word Pairs in Tweet in G3:
[105] #fintech,#banking [98] learn,#coding [98] #coding,free [98] #100daysofcode,#ai [96] #innovation,#fintech [80] #ai,#bigdata [78] #python,12 [78] 12,websites [78] websites,learn [76] strat_ai,#python Top Word Pairs in Tweet in G4:
[64] #quote,#attitude [64] #attitude,#seo [40] looking,back [40] back,gives [40] gives,regrets [40] regrets,looking [40] looking,forward [40] forward,gives [40] gives,opportunities [40] opportunities,#success Top Word Pairs in Tweet in G5:
[47] open,banking [44] banking,adoption [44] adoption,rates [44] rates,sluggish [44] sluggish,best [44] best,looks [44] looks,things [44] things,begun [44] begun,change [44] change,over Top Word Pairs in Tweet in G6:
[17] #fintech,#finserv [12] #innovation,#fintech [10] #finserv,orgs [7] future,#banking [7] #banking,#cloud [7] #cloud,#innovation [7] #fintech,#banks [7] #banks,#digitalbanking [7] microsoft,debuting [7] debuting,industry Top Word Pairs in Tweet in G7:
[27] #digitalbanking,#finserv [26] lhoft,tv [20] first,episode [20] video,series [20] know,more [17] the_lhoft,10 [16] #fintech,#finserv [15] #banking,#digitalbanking [14] venture,capital [14] walk,john Top Word Pairs in Tweet in G8:
[150] #startup,#innovation [150] #fintech,#insurtech [139] #insurtech,#startup [128] #innovation,#finserv [77] #finserv,#banking [74] #banking,#payment [73] #payment,#lending [73] #lending,#investment [73] #investment,#digital [56] #fintech,#finserv Top Word Pairs in Tweet in G9:
[20] #fintech,#finserv [18] #finance,#business [17] #finserv,#banking [16] financial,services [16] jamie,dimon [15] jp,morgan [14] cityam,brexit [13] #banking,#finserv [12] brexit,jp [12] morgan,ceo Top Word Pairs in Tweet in G10:
[12] financial,services [10] #fintech,#finserv [6] see,chart [6] chart,key [6] key,above [6] above,cloud [6] cloud,buy [6] buy,below [6] below,sell [5] buy,system Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
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:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: