The graph represents a network of 2,403 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 Monday, 16 December 2019 at 21:57 UTC.
The requested start date was Monday, 16 December 2019 at 01:01 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 5-day, 21-hour, 6-minute period from Tuesday, 10 December 2019 at 03:52 UTC to Monday, 16 December 2019 at 00:58 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 : 2403
Unique Edges : 5384
Edges With Duplicates : 4114
Total Edges : 9498
Number of Edge Types : 3
Mentions : 8564
Tweet : 866
Replies to : 68
Self-Loops : 866
Reciprocated Vertex Pair Ratio : 0.0346649059095411
Reciprocated Edge Ratio : 0.0670070197830249
Connected Components : 162
Single-Vertex Connected Components : 107
Maximum Vertices in a Connected Component : 2139
Maximum Edges in a Connected Component : 9158
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.380618
Graph Density : 0.00108593095710573
Modularity : 0.412549
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 2,403 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 Monday, 16 December 2019 at 21:57 UTC.
The requested start date was Monday, 16 December 2019 at 01:01 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 5-day, 21-hour, 6-minute period from Tuesday, 10 December 2019 at 03:52 UTC to Monday, 16 December 2019 at 00:58 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:
[649] gt,gt [511] financial,services [496] #fintech,#finserv [396] #banking,#finserv [353] #fintech,#banking [238] #ai,#iot [229] #vc,#fintech [174] cyber,security [163] ty,wef [162] wef,enricomolinari Top Word Pairs in Tweet in G1:
[297] #banking,#finserv [275] #fintech,#banking [230] #fintech,#finserv [207] #vc,#fintech [119] #finserv,#cryptocurrency [110] #banking,#fintech [95] #finserv,co [86] financial,services [83] #finserv,#banking [75] #cryptocurrency,#finance Top Word Pairs in Tweet in G2:
[248] gt,gt [130] #ai,#iot [116] multi,decade [116] decade,run [116] run,#ai [116] #ai,advancements [100] ty,wef [99] wef,enricomolinari [77] wef,mikequindazzi [69] ravikikan,#startups Top Word Pairs in Tweet in G3:
[258] gt,gt [97] #fintech,#finserv [96] #ai,#iot [86] financial,services [59] mikequindazzi,gt [56] ty,mashable [53] ty,wef [53] wef,enricomolinari [47] mashable,enricomolinari [46] cyber,security Top Word Pairs in Tweet in G4:
[90] congrats,#insurtech [90] #insurtech,wefoxgroup [90] wefoxgroup,increased [90] increased,#seriesb [90] #seriesb,#funding [90] #funding,235 [90] 235,#million [90] #million,#fintech [89] spirosmargaris,congrats [89] #fintech,#vc Top Word Pairs in Tweet in G5:
[202] financial,services [114] cyber,security [92] open,banking [81] banking,change [81] change,financial [81] services,landscape [78] gt,gt [78] antgrasso,open [56] banking,financial [55] analysis,globaldataplc Top Word Pairs in Tweet in G6:
[44] #fintech,#finserv [27] financial,services [25] globally,crowdsourced [25] crowdsourced,book [23] january,2020 [22] pre,order [21] order,#paytechbook [20] book,future [20] future,#payments [20] #payments,january Top Word Pairs in Tweet in G7:
[71] well,done [37] regtech,top [37] top,100 [37] planet,compliance [37] compliance,top [37] top,50 [37] 50,regtech [36] regtech,influencers [34] week's,regtech [34] 100,planetcomplianc Top Word Pairs in Tweet in G8:
[12] financial,services [11] #fintech,#finserv [9] spirosmargaris,congrats [9] congrats,#insurtech [9] #insurtech,wefoxgroup [9] wefoxgroup,increased [9] increased,#seriesb [9] #seriesb,#funding [9] #funding,235 [9] 235,#million Top Word Pairs in Tweet in G9:
[53] financial,services [26] york,state [26] state,department [26] department,financial [26] services,nydfs [26] nydfs,imposes [26] imposes,regulations [23] regulations,financial [22] services,organizations [21] imperva,york Top Word Pairs in Tweet in G10:
[29] good,news [28] bad,news [28] news,financial [28] financial,institutions [28] institutions,still [28] still,rely [28] rely,manual [28] manual,processes [28] processes,inefficient [28] inefficient,costly 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 G4:
Top Replied-To in G6:
Top Replied-To in G7:
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:
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Top Tweeters in G10: