The graph represents a network of 2,357 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, 04 May 2020 at 02:51 UTC.
The requested start date was Sunday, 03 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 7-day, 11-hour, 3-minute period from Saturday, 25 April 2020 at 00:56 UTC to Saturday, 02 May 2020 at 12:00 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 : 2357
Unique Edges : 3433
Edges With Duplicates : 9694
Total Edges : 13127
Number of Edge Types : 5
MentionsInRetweet : 7247
Mentions : 1307
Retweet : 3729
Tweet : 786
Replies to : 58
Self-Loops : 909
Reciprocated Vertex Pair Ratio : 0.025444462567281
Reciprocated Edge Ratio : 0.049626212820105
Connected Components : 115
Single-Vertex Connected Components : 66
Maximum Vertices in a Connected Component : 2145
Maximum Edges in a Connected Component : 12805
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.30455
Graph Density : 0.00113216204593765
Modularity : 0.334883
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 2,357 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, 04 May 2020 at 02:51 UTC.
The requested start date was Sunday, 03 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 7-day, 11-hour, 3-minute period from Saturday, 25 April 2020 at 00:56 UTC to Saturday, 02 May 2020 at 12:00 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:
[827] gt,gt [591] #fintech,#finserv [434] #ai,#iot [364] #finserv,#fintech [210] ty,101blockchains [210] 101blockchains,enricomolinari [210] covid,19 [189] building,rotating [189] #iot,#smarthome [172] enricomolinari,#ehealth Top Word Pairs in Tweet in G1:
[312] #ai,#iot [220] #finserv,#fintech [158] building,rotating [157] #iot,#smarthome [145] rotating,skyscraper [145] skyscraper,wef [144] dubai,building [140] cc,enricomolinari [139] wef,#ai [139] #smarthome,#finserv Top Word Pairs in Tweet in G2:
[174] #fintech,#finserv [158] gt,gt [156] covid,19 [95] #insurtech,#startup [93] #banking,#fintech [87] #fintech,#banking [82] #startup,#innovation [81] #finserv,#banking [77] #innovation,#finserv [68] #fintech,#insurtech Top Word Pairs in Tweet in G3:
[568] gt,gt [256] #fintech,#finserv [104] ty,101blockchains [103] 101blockchains,enricomolinari [103] mikequindazzi,gt [86] enricomolinari,#ehealth [86] #ehealth,#ai [84] link,gt [76] technologies,increased [76] increased,collaboration Top Word Pairs in Tweet in G4:
[87] #fintech,#finserv [81] well,done [54] planet,compliance [54] compliance,top [54] top,50 [54] 50,regtech [48] regtech,influencers [31] covid,19 [30] regtech,top [30] top,100 Top Word Pairs in Tweet in G5:
[50] ready,#blockchain [50] #blockchain,ravikikan [50] ravikikan,gartner_inc [50] gartner_inc,#crypto [50] #crypto,#cryptocurrency [50] #startups,#defstar5 [48] #defstar5,#makeyourownlane [43] #cryptocurrency,#startups [37] 250,years [37] years,#economic Top Word Pairs in Tweet in G6:
[10] #fintech,#finserv [10] gt,gt [8] financial,services [6] #finserv_2020,04 [6] 04,25_19 [6] 25_19,50 [6] 50,22 [6] 22,xlsx [6] xlsx,#finserv [6] sell,system Top Word Pairs in Tweet in G7:
[27] rushdaverroes,ve [27] ve,made [27] made,life [27] life,work [27] work,put [27] put,end [27] end,financial [27] financial,exclusion [27] exclusion,connecting [27] connecting,people Top Word Pairs in Tweet in G8:
[16] #fintech,#finserv [8] #finserv,#banking [7] banks,fintech [7] fintech,companies [6] #banking,#tech [5] access,cc [5] discover,iot [5] iot,set [5] set,transform [5] transform,banks Top Word Pairs in Tweet in G9:
[9] check,tim [9] tim,lind [9] lind,article [9] article,funds [9] funds,europe [9] europe,long [9] long,managers [9] managers,suddenly [9] suddenly,volatile [9] volatile,#capitalmarket Top Word Pairs in Tweet in G10:
[3] #fintech,#finserv [3] #finserv,virtual [3] virtual,conferences [3] conferences,ukfintechweek [3] ukfintechweek,apr [3] apr,14 [3] 14,fico [3] fico,virtual [3] virtual,events [3] events,apr Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G10:
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: