The graph represents a network of 1,178 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, 16 January 2022 at 02:38 UTC.
The requested start date was Sunday, 16 January 2022 at 01:01 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 2-day, 22-hour, 42-minute period from Thursday, 13 January 2022 at 02:10 UTC to Sunday, 16 January 2022 at 00:52 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 : 1178
Unique Edges : 1912
Edges With Duplicates : 17704
Total Edges : 19616
Number of Edge Types : 5
Retweet : 6831
MentionsInRetweet : 9896
Mentions : 2570
Replies to : 65
Tweet : 254
Self-Loops : 557
Reciprocated Vertex Pair Ratio : 0.0444066974035428
Reciprocated Edge Ratio : 0.0850371747211896
Connected Components : 23
Single-Vertex Connected Components : 8
Maximum Vertices in a Connected Component : 1130
Maximum Edges in a Connected Component : 19556
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.260865
Graph Density : 0.00310420582384786
Modularity : 0.161855
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,178 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, 16 January 2022 at 02:38 UTC.
The requested start date was Sunday, 16 January 2022 at 01:01 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 2-day, 22-hour, 42-minute period from Thursday, 13 January 2022 at 02:10 UTC to Sunday, 16 January 2022 at 00:52 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:
[3662] #iot,#iiot [2989] #iiot,#pytorch [2984] #python,#iot [2973] #javascript,#reactjs [2755] #reactjs,#wordpress [2538] #wordpress,#security [2406] #pytorch,#javascript [2193] #security,#defi [1727] #defi,#ad [1276] #cx,#women Top Word Pairs in Tweet in G1:
[181] #fintech,#finserv [68] psb_dc,betamoroney [67] insurers,using [67] using,tech [67] tech,drive [67] drive,differentiation [67] differentiation,growth [67] growth,during [67] during,uncertain [67] uncertain,times Top Word Pairs in Tweet in G2:
[3620] #iot,#iiot [2958] #iiot,#pytorch [2948] #javascript,#reactjs [2947] #python,#iot [2731] #reactjs,#wordpress [2514] #wordpress,#security [2384] #pytorch,#javascript [2173] #security,#defi [1710] #defi,#ad [1120] #cx,#women Top Word Pairs in Tweet in G3:
[143] #fintech,#finserv [115] #cx,#women [115] #women,#ehealth [113] #finserv,#marketing [110] #finserv,#fashiontech [105] #ces2023,#finserv [104] #datascientist,#digital [104] #digital,#cx [101] #fashiontech,#insurtech [99] #insurtech,#finserv Top Word Pairs in Tweet in G4:
[13] #fintech,#banking [11] #fintech,#finserv [9] #insurtech,#finserv [8] #innovation,#fintech [8] #python,#iot [7] livraison,partout [7] partout,france [7] france,expédition [7] expédition,sécurisée [7] sécurisée,co Top Word Pairs in Tweet in G5:
[16] #esg,key [16] key,topic [16] topic,#finance [16] #finance,loved [16] loved,joining [16] joining,matthewsekol [16] matthewsekol,'top [16] 'top,trends [16] trends,#financialservices [16] #financialservices,2022 Top Word Pairs in Tweet in G7:
[7] ftm,already [7] already,amazing [7] amazing,run [7] run,next [7] next,fsn [7] fsn,chng [7] chng,next [7] next,fusionprotocol [7] fusionprotocol,#dcrm [6] lucas_gool,ftm Top Word Pairs in Tweet in G8:
[6] recent,study [6] study,found [6] found,#financialservices [6] #financialservices,firms [6] firms,clear [6] clear,plans [6] plans,address [6] address,#privacy [6] #privacy,risks [6] risks,experts Top Word Pairs in Tweet in G9:
[4] week,wsj [4] wsj,cnbc [4] cnbc,mktsinsider [4] mktsinsider,etfexpress [4] etfexpress,catch [4] catch,#finserv [4] #finserv,clients [4] clients,made [3] gregoryfca,week [2] #datascientist,#digital Top Word Pairs in Tweet in G10:
[40] #csr,#corpgov [32] #corpgov,#aml [32] #aml,#crypto [32] #crypto,#finserv [32] #finserv,#wef [32] #wef,#datagovernance [30] #datagovernance,#futureofwork [30] #futureofwork,#insurtech [30] #insurtech,#fintech [30] #fintech,#legaltech 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 G6:
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: