The graph represents a network of 578 Twitter users whose tweets in the requested range contained "#data4good", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 11 November 2019 at 16:19 UTC.
The requested start date was Monday, 11 November 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 13-day, 20-hour, 45-minute period from Monday, 28 October 2019 at 01:48 UTC to Sunday, 10 November 2019 at 22:34 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 : 578
Unique Edges : 770
Edges With Duplicates : 387
Total Edges : 1157
Number of Edge Types : 3
Mentions : 1035
Tweet : 111
Replies to : 11
Self-Loops : 111
Reciprocated Vertex Pair Ratio : 0.0319410319410319
Reciprocated Edge Ratio : 0.0619047619047619
Connected Components : 44
Single-Vertex Connected Components : 14
Maximum Vertices in a Connected Component : 395
Maximum Edges in a Connected Component : 916
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.515379
Graph Density : 0.0025186953158264
Modularity : 0.611334
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 578 Twitter users whose tweets in the requested range contained "#data4good", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 11 November 2019 at 16:19 UTC.
The requested start date was Monday, 11 November 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 13-day, 20-hour, 45-minute period from Monday, 28 October 2019 at 01:48 UTC to Sunday, 10 November 2019 at 22:34 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 : #data4good
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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[258] â,â [172] #datascience,#ai [159] #bigdata,#datascience [112] breast,cancer [112] cancer,classification [112] classification,prediction [112] prediction,using [112] using,#neuralnetworks [108] kirkdborne,breast [88] #neuralnetworks,#bigdata Top Word Pairs in Tweet in G1:
[170] â,â [123] #datascience,#ai [118] #bigdata,#datascience [98] breast,cancer [98] cancer,classification [98] classification,prediction [98] prediction,using [98] using,#neuralnetworks [96] kirkdborne,breast [76] #neuralnetworks,#bigdata Top Word Pairs in Tweet in G2:
[13] #techforgood,#data4good [11] people,living [11] living,housing [11] housing,below [11] below,construction [11] construction,standards [11] standards,highest [11] highest,risk [11] risk,natural [11] natural,disasters Top Word Pairs in Tweet in G3:
[16] love,example [16] example,datarobot [16] datarobot,water [16] water,basic [16] basic,necessity [16] necessity,teach [16] teach,tribal [16] tribal,leaders [16] leaders,africa [16] africa,value Top Word Pairs in Tweet in G4:
[78] â,â [47] ht,kirkdborne [43] #datascience,#ai [36] #bigdata,#datascience [28] theadamgabriel,ht [23] #datascience,bowl [21] boozallen,pbskids [20] machine,learning [19] #ai,#machinelearning [17] 2019,#datascience Top Word Pairs in Tweet in G5:
[15] #data4good,#job [15] #job,alert [9] datakind,#data4good [8] looking,hire [8] data,science [7] alert,uniteushq [7] uniteushq,whose [7] whose,mission [7] mission,â [7] â,œreinvent Top Word Pairs in Tweet in G6:
[9] excited,invited [9] invited,keynote [9] keynote,kick [9] kick,year's [9] year's,#unleash2019 [9] #unleash2019,shenzhen [9] shenzhen,china [9] china,join [9] join,experts [8] unglobalpulse,excited Top Word Pairs in Tweet in G7:
[13] stanfordhai,human [13] human,centered [13] centered,#ai [13] #ai,conference [13] conference,#aiethics [13] #aiethics,policy [13] policy,governance [13] governance,getting [13] getting,started [13] started,live Top Word Pairs in Tweet in G8:
[5] #rpm,#ehr [5] #health,#transit [5] #transit,#himss [5] #himss,#fitness [5] #it,#ehr [5] #ehr,#rpm [5] #rpm,#data [5] #data,#walk [5] #walk,#pghd [5] #pghd,#maas Top Word Pairs in Tweet in G9:
[6] data,savvy [6] #charity,#socent [5] new,online [5] online,data [5] data,maturity [5] maturity,self [5] self,assessment [5] assessment,tool [4] tool,first [4] haven't,tried Top Word Pairs in Tweet in G10:
[3] applied,#ai [2] #ai,#imaging [2] #imaging,augment [2] augment,#healthcare [2] #healthcare,insights [2] insights,sassoftware [2] sassoftware,colleagues [2] colleagues,drkanalytics [2] drkanalytics,_greghorne [2] _greghorne,share Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G6:
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 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: