The graph represents a network of 2,097 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, 19 April 2020 at 02:51 UTC.
The requested start date was Sunday, 19 April 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 7-day, 7-hour, 29-minute period from Saturday, 11 April 2020 at 04:16 UTC to Saturday, 18 April 2020 at 11:46 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 : 2097
Unique Edges : 2673
Edges With Duplicates : 9147
Total Edges : 11820
Number of Edge Types : 5
Retweet : 3602
MentionsInRetweet : 5956
Mentions : 1257
Replies to : 50
Tweet : 955
Self-Loops : 1246
Reciprocated Vertex Pair Ratio : 0.0279060429632604
Reciprocated Edge Ratio : 0.054296875
Connected Components : 162
Single-Vertex Connected Components : 106
Maximum Vertices in a Connected Component : 1808
Maximum Edges in a Connected Component : 11316
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.44938
Graph Density : 0.00116487748765048
Modularity : 0.311893
NodeXL Version : 1.0.1.431
Data Import : The graph represents a network of 2,097 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, 19 April 2020 at 02:51 UTC.
The requested start date was Sunday, 19 April 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 7-day, 7-hour, 29-minute period from Saturday, 11 April 2020 at 04:16 UTC to Saturday, 18 April 2020 at 11:46 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:
[2136] gt,gt [822] #fintech,#finserv [361] mikequindazzi,gt [334] gt,#pwc [320] #fintech,#insurtech [305] #pwc,mikequindazzi [295] #insurtech,#startup [263] #vc,#fintech [252] #startup,#innovation [243] #finserv,#fintech Top Word Pairs in Tweet in G1:
[391] #fintech,#finserv [213] #vc,#fintech [191] #finserv,#finance [144] covid,19 [120] #fintech,#banking [110] #banking,#finserv [108] #finance,#banks [104] #blockchain,#regtech [90] #banking,#fintech [84] #finserv,#banking Top Word Pairs in Tweet in G2:
[1885] gt,gt [316] mikequindazzi,gt [295] gt,#pwc [273] #pwc,mikequindazzi [209] gt,#ai [186] #fintech,#finserv [149] #finserv,#fintech [140] gt,#finserv [126] #fintech,#cryptocurrency [122] #finserv,industries Top Word Pairs in Tweet in G3:
[132] gt,gt [118] #ai,#iot [71] ty,wef [70] #finserv,#marketing [69] wef,enricomolinari [68] #iot,#digital [68] #digital,#finserv [67] world,2045 [67] 2045,according [67] according,#pentagon Top Word Pairs in Tweet in G4:
[106] #fintech,#finserv [37] #finserv,#banking [30] financial,services [23] covid,19 [23] #fintech,#banking [23] gt,gt [23] forbes,#finserv [19] #finserv,#fintech [17] #ai,#ml [14] #finserv,#ai Top Word Pairs in Tweet in G5:
[196] #fintech,#insurtech [175] #insurtech,#startup [154] #startup,#innovation [102] #innovation,#finserv [72] #ml,#fintech [58] #ai,#ml [46] well,done [34] #covid19,#fintech [33] albertogaruccio,amazon [31] amazon,acting Top Word Pairs in Tweet in G6:
[22] #fintech,#finserv [21] financial,services [19] pwc,cbi [19] services,survey [16] help,strengthen [16] strengthen,resilience [16] resilience,findings [16] findings,pwc [16] cbi,q1 [16] q1,2020 Top Word Pairs in Tweet in G7:
[69] well,done [40] planet,compliance [40] compliance,top [40] top,50 [40] 50,regtech [40] regtech,influencers [31] regtech,top [31] top,100 [29] week's,regtech [29] 100,planetcomplianc Top Word Pairs in Tweet in G8:
[13] #finserv,orgs [13] orgs,face [13] face,diverse [13] diverse,serious [13] team,compiled [13] compiled,report [13] report,help [13] help,security [13] security,teams [12] serious,cyber Top Word Pairs in Tweet in G9:
[8] financial,services [8] making,difference [8] difference,verint [8] verint,customers [8] customers,#adaptandrespond [8] #adaptandrespond,pandemic [8] pandemic,quickly [8] quickly,effectively [8] effectively,uhaul [8] uhaul,#finserv Top Word Pairs in Tweet in G10:
[44] #find,#findom [36] #findom,#finserv [26] #findom,#find [24] #hairfetish,#spitfetish [19] #finserv,#cashslave [17] #cashslave,#humanatm [15] ssshhhhhh,lucious [15] lucious,#find [15] #humanatm,#hairfetish [14] lady_jolene,ssshhhhhh 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 G7:
Top Replied-To in G8:
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 Mentioned in G10:
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: