ER Eröds-Rényi ER p ER 1 2.3BA Balabasi 9 1 f (k) k 3 1 BA KN KN 8,10 KN 2 2 p 1 Rich-club 11 ( f (k) = 1 +

Similar documents
k = The Last Samurai Tom Cruise [1] Oracle Ken Watanabe (I) has a Bacon number of 2. 1: 6(k 6) (small world p

untitled

16) 12) 14) n x i, (1 i < n) x 1 = x 2 = = x n. (6) L = D A (1) D = diag(d 1,d 2,,d n ) n n A d i = j i a i j 9) 0 a 12 a 13 a 14 A = a 21 0 a

DEIM Forum 2009 C8-4 QA NTT QA QA QA 2 QA Abstract Questions Recomme

149 (Newell [5]) Newell [5], [1], [1], [11] Li,Ryu, and Song [2], [11] Li,Ryu, and Song [2], [1] 1) 2) ( ) ( ) 3) T : 2 a : 3 a 1 :

Study on Throw Accuracy for Baseball Pitching Machine with Roller (Study of Seam of Ball and Roller) Shinobu SAKAI*5, Juhachi ODA, Kengo KAWATA and Yu

14 2 5

:

i

No.12‡¨‡à‡Ä

Consideration of Cycle in Efficiency of Minority Game T. Harada and T. Murata (Kansai University) Abstract In this study, we observe cycle in efficien

THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE {s-kasihr, wakamiya,

抜刷表紙/芦塚 〃 嶋崎 芦塚

1 2 : etc = x(t + 1) = 1 ax(t) 2 + y(t) y(t + 1) = bx(t) x y 2006 p.2/58

第 55 回自動制御連合講演会 2012 年 11 月 17 日,18 日京都大学 1K403 ( ) Interpolation for the Gas Source Detection using the Parameter Estimation in a Sensor Network S. T

Public Pension and Immigration The Effects of Immigration on Welfare Inequality The immigration of unskilled workers has been analyzed by a considerab

IPSJ SIG Technical Report Vol.2012-MPS-88 No /5/17 1,a) 1 Network Immunization via Community Structure based Node Representation Tetsuya Yoshida

3. ( 1 ) Linear Congruential Generator:LCG 6) (Mersenne Twister:MT ), L 1 ( 2 ) 4 4 G (i,j) < G > < G 2 > < G > 2 g (ij) i= L j= N

130 Oct Radial Basis Function RBF Efficient Market Hypothesis Fama ) 4) 1 Fig. 1 Utility function. 2 Fig. 2 Value function. (1) (2)

23 The Study of support narrowing down goods on electronic commerce sites

Computer Security Symposium October 2013 Android OS kub

表紙参照.PDF

修士論文


23 A Comparison of Flick and Ring Document Scrolling in Touch-based Mobile Phones

B HNS 7)8) HNS ( ( ) 7)8) (SOA) HNS HNS 4) HNS ( ) ( ) 1 TV power, channel, volume power true( ON) false( OFF) boolean channel volume int

16_.....E...._.I.v2006

( ) [1] [4] ( ) 2. [5] [6] Piano Tutor[7] [1], [2], [8], [9] Radiobaton[10] Two Finger Piano[11] Coloring-in Piano[12] ism[13] MIDI MIDI 1 Fig. 1 Syst

Vol. 23 No. 4 Oct Kitchen of the Future 1 Kitchen of the Future 1 1 Kitchen of the Future LCD [7], [8] (Kitchen of the Future ) WWW [7], [3

untitled

高齢化とマクロ投資比率―国際パネルデータを用いた分析―

Vol. 42 No. SIG 8(TOD 10) July HTML 100 Development of Authoring and Delivery System for Synchronized Contents and Experiment on High Spe

220 28;29) 30 35) 26;27) % 8.0% 9 36) 8) 14) 37) O O 13 2 E S % % 2 6 1fl 2fl 3fl 3 4

平成○○年度知能システム科学専攻修士論文

第62巻 第1号 平成24年4月/石こうを用いた木材ペレット

BB 報告書完成版_修正版) doc

2. Eades 1) Kamada-Kawai 7) Fruchterman 2) 6) ACE 8) HDE 9) Kruskal MDS 13) 11) Kruskal AGI Active Graph Interface 3) Kruskal 5) Kruskal 4) 3. Kruskal

1: 2: 3: 4: 2. 1 Exploratory Search [4] Exploratory Search 2. 1 [7] [8] [9] [10] Exploratory Search

Core Ethics Vol.

Studies of Foot Form for Footwear Design (Part 9) : Characteristics of the Foot Form of Young and Elder Women Based on their Sizes of Ball Joint Girth

untitled

JAPAN MARKETING JOURNAL 122 Vol.31 No.22011

untitled

Web Stamps 96 KJ Stamps Web Vol 8, No 1, 2004

Wikipedia YahooQA MAD 4)5) MAD Web 6) 3. YAMAHA 7) 8) Vocaloid PV YouTube 1 minato minato ussy 3D MAD F EDis ussy

28 Horizontal angle correction using straight line detection in an equirectangular image

258 5) GPS 1 GPS 6) GPS DP 7) 8) 10) GPS GPS ) GPS Global Positioning System

1

<96D889BA904D2E696E6464>

JFE.dvi

DPA,, ShareLog 3) 4) 2.2 Strino Strino STRain-based user Interface with tacticle of elastic Natural ObjectsStrino 1 Strino ) PC Log-Log (2007 6)

IPSJ SIG Technical Report Vol.2010-SLDM-144 No.50 Vol.2010-EMB-16 No.50 Vol.2010-MBL-53 No.50 Vol.2010-UBI-25 No /3/27 Twitter IME Twitte


3D UbiCode (Ubiquitous+Code) RFID ResBe (Remote entertainment space Behavior evaluation) 2 UbiCode Fig. 2 UbiCode 2. UbiCode 2. 1 UbiCode UbiCode 2. 2

2 2.1 i j i j (i, j) (i, j) i (out-going degree) j (in-coming degree) n N = {1, 2,..., n} E(N) i(lender) j(borrower) (loans) i j w ji = w(j, i) W w ij

23 Fig. 2: hwmodulev2 3. Reconfigurable HPC 3.1 hw/sw hw/sw hw/sw FPGA PC FPGA PC FPGA HPC FPGA FPGA hw/sw hw/sw hw- Module FPGA hwmodule hw/sw FPGA h

Isogai, T., Building a dynamic correlation network for fat-tailed financial asset returns, Applied Network Science (7):-24, 206,

,,,,., C Java,,.,,.,., ,,.,, i

DEIM Forum 2009 B4-6, Str

, : GUI Web Java 2.1 GUI GUI GUI 2 y = x y = x y = x

A Study on Throw Simulation for Baseball Pitching Machine with Rollers and Its Optimization Shinobu SAKAI*5, Yuichiro KITAGAWA, Ryo KANAI and Juhachi

J No J. J

<836F F312E706466>

JAPAN MARKETING JOURNAL 110 Vol.28 No.22008

JAPAN MARKETING JOURNAL 123 Vol.31 No.32012

JAPAN MARKETING JOURNAL 115 Vol.29 No.32010


Optical Lenses CCD Camera Laser Sheet Wind Turbine with med Diffuser Pitot Tube PC Fig.1 Experimental facility. Transparent Diffuser Double Pulsed Nd:

untitled

社会関係資本と外国人に対する寛容さに関する研究―JGSS-2008 の分析から―

.}.u

The Empirical Study on New Product Concept of the Dish Washer Abstract

Kyoto University * Filipino Students in Japan and International Relations in the 1930s: An Aspect of Soft Power Policies in Imperial Japan

Core Ethics Vol. et al. Schumpeter.hack// NARUTO

OR2017_curlingRating.dvi

Abstract This paper concerns with a method of dynamic image cognition. Our image cognition method has two distinguished features. One is that the imag



A Feasibility Study of Direct-Mapping-Type Parallel Processing Method to Solve Linear Equations in Load Flow Calculations Hiroaki Inayoshi, Non-member

†c‚å−w/”Лï−wŁfl‰IŠv/”Лï−wŁfl‰IŠv‚æ100“ƒ/’X‰vflü”q†\†\†\†\†\†\†\†\†\†\†\†\†\†\†\⁄G

研究成果報告書

1,000km 1.7% 0.0% 0.8% 100% 80% 60% 40% 20% 94.4% 0.1% 3.0% 0.3% 0.5% 0.0% 96.2% 1 0.2% 2.8% 0% km ft 40f

[2] OCR [3], [4] [5] [6] [4], [7] [8], [9] 1 [10] Fig. 1 Current arrangement and size of ruby. 2 Fig. 2 Typography combined with printing

emarketer SNS / SNS 2009 SNS 15 64

2 (March 13, 2010) N Λ a = i,j=1 x i ( d (a) i,j x j ), Λ h = N i,j=1 x i ( d (h) i,j x j ) B a B h B a = N i,j=1 ν i d (a) i,j, B h = x j N i,j=1 ν i

IMF World Economic Outlook, April GDP GDP.,,,,,..,.

, PDD ASD p.,.,..,..,.,..,.,..,.,.,.,, 146


DTN DTN DTN DTN i

Run-Based Trieから構成される 決定木の枝刈り法

Sport and the Media: The Close Relationship between Sport and Broadcasting SUDO, Haruo1) Abstract This report tries to demonstrate the relationship be

Vol.55 No (Jan. 2014) saccess 6 saccess 7 saccess 2. [3] p.33 * B (A) (B) (C) (D) (E) (F) *1 [3], [4] Web PDF a m

St. Andrew's University NII-Electronic Library Service

1 (1997) (1997) 1974:Q3 1994:Q3 (i) (ii) ( ) ( ) 1 (iii) ( ( 1999 ) ( ) ( ) 1 ( ) ( 1995,pp ) 1

Page 1 of 6 B (The World of Mathematics) November 20, 2006 Final Exam 2006 Division: ID#: Name: 1. p, q, r (Let p, q, r are propositions. ) (10pts) (a

<30355F8E9197BF5F8B76967B8E812E696E6464>

02二宮.indd

社会学部紀要 128号☆/1.遠藤

{x 1 -x 4, x 2 -x 5, x 3 -x 6 }={X, Y, Z} {X, Y, Z} EEC EIC Freeman (4) ANN Artificial Neural Network ANN Freeman mesoscopicscale 2.2 {X, Y, Z} X a (t

野村資本市場研究所|アジアの金融競争力(PDF)

Transcription:

Vol.4, No.2, pp.33-40, 2012 33 * * Relation between network structure and cascade phenomena Takanori Komatsu* and Akira Namatame* Abstract Which social network structures are suitable for diffusion of innovation, new products, or new convention? There are many papers to answer this question. The main stream of the study is to find the relationship between social network structure and diffusion rate of innovation. In this paper we show relation between network structure and cascade phenomena and three characteristic elements maximum eigenvalue of adjacency matrix of the social network, the number of innovator and the deployment of innovator decide the dynamics of cascade phenomena. Key words Network topology, Cascade phenomena, Threshold model, Social consensus formation 1 OS 1,2,3 Pintado 2 Watts 1 Department of Computer Science National Defence Academy of Japan 2011 12 22 2012 7 17 Watts 1 Pintado 2 binary decision with externalities 4 5,6 7,8 3 2 3 4 5 1

34 4 2 2012 2 2.1 2.1.1 1 2.1.2 1 2.2ER Eröds-Rényi ER p ER 1 2.3BA Balabasi 9 1 f (k) k 3 1 BA 1 2.4 KN KN 8,10 KN 2 2 p 1 Rich-club 11 ( f (k) = 1 + 1 2p + 1 ) k (2+ 1 2p+1 ) 2 3 3.1 1 0 1 2 1 3 0 1 3 φ i i d i i s ij i j 1 0 φ i j s ij d i 3 3 φ i d i d i 1 1 1 2

35 1 Torus Random Regular ER BA KN 3000 3000 3000 3000 3000 4.0 4.0 4.0 4.0 4.0 2 0 0 19.8 49.6 158.9 77.5 6.6 6.0 9.1 3.8 0.00 0.00 0.00 0.01 0.10 4 4 5.2 12.4 32.9 0 1 1 3.2 0 1 1 1 k φ i 4 4 φ k 1/φ 4 k p k k ρ k k ρ k p k φ 5 G 0(x) = ρ k p k x k k=0 { 1 k 1/φ ρ k = 0 k > 1/φ 5 5 n 6 6 z z early n = 1 + zz early z G 0 (1) 6 6 7 G 0 (1) = k(k 1)ρ k p k = z k=0 7 7 G 0 (1) < z 7 3.3 4 8,12 KN BA BA λ max (A KN ) 1 3

36 4 2 2012 λ max (A) N L 13 k λ max (A) 2L N + 1 8 k 4 4.1 2 two-step flow 14 Watts 15 Watts Lopez 1 1,2,15 2 0% 10% 4.2 1 N 3000 4.2.1 z φ 2 2 aba KN (b) BA KN z φ 4

37 a z = (2, 4,, 14) 1 N 0.2%(= 6) 200 2 a 2 a KN 10 4.2.2 2 b N 0.2%(= 6) 2 a 4.3 2 1? 4 φ 0,1 m 0,0.10 f (m,φ) 200 1 4.3.1 3 0.25 0.5 3 φ m f m, φ 5

38 4 2 2012 0.5 0.25 1 2 1 4.3.2 4 φ 0.25 φ < 0.25 φ < 0.25 4.3.3BA f (m,φ) 1 5 φ 0.25 2 φ 0.5 BA 4.3.4 KN KN BA Susceptible Infected Susceptible SIS 8 6 KN 4 φ m f m, φ 5 BA φ m f m, φ 6

39 6 KN φ m f m, φ BA BA 0.5 0 KN 5 Pintado 2 Watts 1 Pintado 2 KN KN 1 D. J. Watts. A simple model of global cascades on random networks. Proceedings of the National Academy of Sciences, Vol. 99, No. 9, pp. 5766-5771, April 2002. 7

40 4 2 2012 2 D. López-Pintado. Contagion and coordination in random networks. International Journal of Game Theory, Vol. 34, No. 3, pp. 371-381, 2006. 3 H. Peyton Young. The evolution of conventions. Econometrica, Vol. 61, pp. 57-84, 1993. 4 T.C. Schelling. Hockey helmets, concealed weapons, and daylight saving: A study of binary choices with externalities. Journal of Conict Resolution, Vol. 17, pp. 381-428, 1973. 5 T.Zhou, G. Yan, and B.H. Wang. Maximal planar networks with large clustering coefficient and power-law degree distribution. Physical Review E, Vol. 71, No. 4, p. 46141, 2005. 6 Y. Moreno, J.B. Gómez, and A.F. Pacheco. Epidemic incidence in correlated complex networks. Physical Review E, Vol. 68, No. 3, p. 35103, 2003. 7 Y. Wang, D. Chakrabarti, C. Wang, and C. Faloutsos. Epidemic spreading in real networks: An eigenvalue viewpoint. International Symposium on Reliable Distributed Systems SRDS'03, pp. 25-34, 2003. 8 Takanori Komatsu and Akira Namatame. Dynamic diffusion process in evolutionary optimized networks. International Journal of Bio-Inspired Computation, Vol. 3, No. 6, pp. 384-392, 2011. 9 A. L. Barabasi and R. Albert. Emergence of scaling in random networks. Science, Vol. 286, pp. 509-512, 1999. 10 7 pp. 57-64, 2011. 11 S. Zhou and R. J. Mondragón. The rich-club phenomenon in the internet topology. Communications Letters, Vol. 8, No. 3, pp. 180-182, March 2004. 12 D. Cvetkovi c and P. Rowlinson. On connected graphs with maximal index. Publi-cations de l Institut Mathematique, Vol. 44, No. 58, pp. 29-34, 1988. 13 Hong Yuan. A bound on the spectral radius of graphs. Linear Algebra and its Applications, Vol. 108, pp. 135-139, September 1988. 14 Katz Elihu and Paul Flelix Lazarsfled. Personal influence; the part played by peple in the flow of mass communications. Glencoe, Vol. 3,, 1955. 15 Duncan J. Watts and Peter Sheridan Dodds. Influentials, networks, and public opinion formation. Journal of Consumer Research, Vol. 34, December 2007. 2001 2003 2008 2010 1973 1976 79 1987 88 Adaptation and Evolution in Collective Systems World Scientific Journal of Economic Interaction and Coordination Editor-in-Chief & AAAI, ACM, IEEE 8