TOPIC: TOward Perfect InfluenCe Graph Summarizationact.buaa.edu.cn › shilei › talk ›...

1
TOPIC: TOward Perfect InfluenCe Graph Summarization Influence Graph Summarization Motivating Problems on IGS n Optimality n Scalability n Flexibility Static Algorithms q 1 components sorted decreasingly: q 11 ···q 1n q 1i q ISO = (H/L)|π| 0.5 ISO q ISO q 1 components sorted decreasingly: q 11 ···q 1n q 1i GCF |π|~(q GCF ) -2 q GCF Evaluation System New Perspective on IGS Optimality Raw Citation Graph Citation Graph after Summarization Dynamic Algorithm IGS Objective: which is equal to (as a quadratic form) (by min-max theorem) (optimizing the largest component) Lei Shi, Sibai Sun, Yuan Xuan, Yue Su, Hanghang Tong, Shuai Ma, Yang Chen

Transcript of TOPIC: TOward Perfect InfluenCe Graph Summarizationact.buaa.edu.cn › shilei › talk ›...

Page 1: TOPIC: TOward Perfect InfluenCe Graph Summarizationact.buaa.edu.cn › shilei › talk › TOPIC_poster.pdf · Linked Data - The Story So Far D.: A survey of data provenance in e-

TOPIC:TOwardPerfectInfluenCeGraphSummarization

InfluenceGraphSummarization

MotivatingProblemsonIGS

n Optimality n Scalability n Flexibility

StaticAlgorithms

q1 components sorted decreasingly: q11≥ ···≥ q1n

q1i

∑ qISO= (H/L)|π|0.5ISO

qISO

q1 components sorted decreasingly: q11≥ ···≥ q1n

q1i GCF|π|~(qGCF)-2

qGCF

Evaluation

SystemNewPerspectiveonIGSOptimality

RawCitationGraph CitationGraphafterSummarization

DynamicAlgorithm

IGSObjective: whichisequalto

(asaquadraticform)

(bymin-maxtheorem)

(optimizingthelargestcomponent)

LeiShi,SibaiSun,YuanXuan,YueSu,HanghangTong,ShuaiMa,YangChen