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& 2 e Wl P.Wl P. 3dWl P.: W.v)! VB 3NG s#[k PO; gkO) qAQ 3NG Wl; D0UOY. L/Q WlG /!: 30 Wl bvG ?! 5b; ]OY. 9& ii, s# bv h! 9m -BQ .u! VBRWl: G& L;Q bv! xY Ous5 L;G 'hL u!UOY.3Wlz 3N x ; pN kUOB9x p : 3N x 8 wTOB p(8Y u v UOY.Wl P.: Y G O]{ \hN 8:KOY.1. g8 Y":; ]5OB h -5& a UOY. Z Q 8B :g8 /g: a ;G ;k; 6OJC@.2. )b &Q; {#B ?C! h -5! bJO) W.v)& Wl8N D GUOY. Z Q 8B 12dLvG :Wl8N D G;G ;k; 6OJC@.3. Wl .u D0; wTO) Wlz 3N; pN ANDOUOY. Z Q 8B 13 dLvG :Wl W Wl bv 3m;G ;k; 6OJC@.g8 /g: a Wl bvB Wl! Vv J: 3N8Y -N u qAX UOY. W.v) P.!- N keG /g:: keG h! {s Y(OY. W.v)! VB pg ke!B keM fb h! GB ksN ke }UL V@OY. kE %LMG fl L }U: / 3NL ,tQ pg gw! XgUOY. N 3NL 0: gwG}Uz ,tR fl L/Q 3N: -N qAQ M8N #VKOY. h ksG }UL N 3N!T- u 9L c%vO N gw: u qAUOY."10mG ke W.v) 9&" W2! *8- W.v)& mAX 8JC@.3. Richter, Y., E. Yom-Tov, and N. Slonim. 2010. Predicting customer churn in mobile networks through analysis of social groups. In: Proceedingsof the 2010 SIAM international conference on data mining. Columbus, OH: SDM 2010.11
W2 2. 10mG ke W.v) 9&"ks ke" WLm: ke A, B, C!- C[Q hG ks ke& 8)]OY.% 7. ks ke.R: keks keAB, C, D, E, F, GBA, C, D, E, F, GCA, D, H, I, Jke AM BB Y8 mG xk ks ke! V@OY. ]i ke AM CB Q mG ke8 V@OY. {ske AM BB ke AM C8Y g8{8N u qAUOY.#b b# GB s5M 0: h ! !B W.v)!- keG /g:; wxOv J@OY. /g:G 3d; wTOb 'X Wl P.: s# 84& h ! !N gkUOY. L khB N ke! 0: ke! ,aI !I:; ]5UOY. W.v)! VB h! g GH ! !(9: kE %LM& 'Q #b s5);!z fl s# 8B W! {s L/Q ! !& kUUOY.Wl8N D GWl: Y% Wl bvM t: h ! !& !x 3N8N 8:Gg, ! !B h!- keG /g:; x UOY. {s- Wl D0: W.v)! VB u Q h& }tOB M8N C[UOY. ' Sh*B/vR !e -Q hG q2; GOB M8N L AN :& &nUOY. 9& in ' Sh*L 0.4Ofl hG !e -Q 40%! Wl D0! gkGg hG 2: 60%B } KOY.2: hB ONG FV [E* El Wl; jbR v V8g, W/Q Wl: &QH 9x ?k; !}OY. L/Q WlL P.! wTGB M; fvOb 'X WlG VR W Vk )b& v R v V@OY.VR )b8Y [: )b& !x Wl: O OT } KOY. W/* Vk )b8Y )bG Wl: ck!IQ )b ' ;!- [: Wl8N *9OY. Q h& ;tC0m )b &Q; !Q 2: Wl; YI WlLsm UOY.4. Cover, T. M., and J. A. Thomas. 2006. Elements of Information Theory, 2nd edition. New York: John Wiley and Sons, Inc.12IBM SPSS Modeler Social Network Analysis 17.1 gkZ H;-
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Wl P.; 'Q %LM v Wl P. R: ke "G %LM G; gkO) W.v) ke h! in VB TB DO; v R v V@OY.DO. #b NgW 9Ze! in VB DO GB zuG L'; v UOY. L'; TBOE* } %(.)\ & -/ DO C:[!- L'; 1CR v V@OY. L'; 1COm *i fN! *8*g ;kL 8PZM T2 %CKOY. zu& v R fl zu! wTH pg DOG #b NgW 9ZeB P.; 'X,aKOY. zuG pg DO: 86! 0F UOY.DO!- Je L'; P@OY. b;8N 1CH L IG: %LM DOG 9 ; -! kQ L'8N k UOY. 9 L lu! FR fl L IG; 1C X&O) Z?8N " Je! O] L'(9: Field1 W Field2); N)UOY.W.v) G 3 W.v) G 3 : Je! kQ *R; GUOY.Je. -l% \ & gkO) L qO!- YgQ *R JeN Wq; v?8N RgUOY. FL\: " *R Je! kQ /?Q x vX; *8@OY. pN \ & ,/O) qOG pg Je& 1COE* 30x vX \ & ,/O) Xg x vXG pg Je& 1CUOY.R:. Q Je& fb hG x!8N 1CUOY.ks. Q Je& fb hG ks8N 1CUOY.! !. 1C{8N W.v)!- }OB hG v! XgOB Q Je& 1CUOY. h -5& a R ' P.: W! {s 9Ze& ! UOY.Wl P.; 'Q [: IG 3 Wl P. R: ke "G [: IG G; gkO) W.v)G Wl; D0Ob 'Q IG; GR v V@OY.Wl P. 3 Wl P. 3 : :H WlG )bM sk{ -5! 5b; ]OY. ' Sh*. P.! gkOb 'Q !e -Q W.v) hG q2; GUOY. 9& in ' Sh*L0.2O fl ! !G s' 20%! eB ! !& !x h8 gkJ; *8@OY. '! 0!- 1NL E3/v& kX P.: Wl ;!- }R !e -Q h! J!; BdOY. Sh*L t;vO bvgLG h! u Q WlL }iOY. Z Q 8B 12 dLvG :Wl8N D G;G ;k; 6OJC@.VR Wl )b. Wl )b! kQ OQ; v UOY. L *8Y [: Wl: ]/Gv J@OY.Vk Wl )b. Wl )b! kQ sQ*; v UOY. L *8Y Wl: [: Wl8N *9OY.14IBM SPSS Modeler Social Network Analysis 17.1 gkZ H;-
d kh hj W %C. 1C ; fl keB P.! kQ d kh& hjOm %CR S8 FOs YI:z %Cb bB; xn@OY. L/Q khG hj: X5N W.v)G ke :I! N {N 5b; Yv V@OY.Wl P. kh 8bWl P. R: ke "G P. G: W.v)!- D0H WlG d 3d& &xUOY. "Wl P. d kh" WLm: Wl! kQ gk !IQ d kh& 8)]OY.% 8. Wl P. d kh.kh3mWlG keD0H Wl! wTH ke vWlG ,aD0H Wl! wTH ,a v Wl vW.v)!- D0H Wl vrU Wl )bWl! VB keG rU vrU Wl P5Wl! VB ke gLG fb ,aG rU q2. Z Q 8B 3 dLvG :W.v) P5;G ;k; 6OJC@.YI bvG rU q2WlG YI keN Wl ; keG rU q2. Z Q 8B 12 dLvG :Wl8N D G;G ;k; 6OJC@.YI WlG rU P5Wl! VB YI ke gLG fb ,aG rU q2.rU ;5in@B ,aG rU v. Z Q 8B 4 dLvG :keG wv;G ;k; 6OJC@.rU \5*!B ,aG rU v. Z Q 8B 4 dLvG :keG wv;G ;k; 6OJC@.d kh WLm!- / kh& 1CO) *G Pw, %X mw W kh! kQ V5& OY.L/Q kh& KdOi Wl P. 3 ; GOB % 5rL KOY. Ls{8N azB t: P5 *; !x sk{8N [: Wl; 8)Vn UOY. 9& in FV nn WlL V; fl Vk Wl )b&Y) [: Wl8N PRX 8JC@. GB Wl P5 *L [; M 0: fl ' Sh*; Y) u -Q h! J!; B JC@.Wl P.G bBWl P. keB Wl W WlG 3N; 3mOB YgQ Je& }:UOY. b8 p( W L/Q YI :z%Cb& !x %LM& u!CQ p(L }:OB 9x; 31R v V@OY. 9& ii 3N L; :b *; w%L.O) Wl 5b; wTR v V@OY."WlG YI:zv%(KPI)" WLm: P.!- D0H WlG YI :z v% Je& 8)]OY.% 9. WlG YI :z %Cb.Je3mGAG GroupNumberWl! kQ m/Q D0ZGAG SizeWl ;G 3N v& 2 e Wl P.15
% 9. WlG YI :z %Cb (hS).Je3mGAG DensityWl ; 3N # fb ,aG q2. Z Q 8B 3 dLvG :W.v) P5;G;k; 6OJC@.GAG KernelDensityWl ; YI 3N # fb ,aG q2.GAG CoreNodesFractionWlG YI 3NN Wl ; 3NG q2. Z Q 8B 12 dLvG :Wl8N D G;G ;k; 6OJC@.GAG MaxRankType1Wl bvG Vk G' :Zn. Z Q 8B 13 dLvG :Wl W Wl bv 3m;G ;k; 6OJC@.GAG MinRankType1Wl bvG VR G' :ZnGAG MaxMinRankRatioType1!e G' :Zn k !e [: G' :ZnG q2. L *: Wl .uG G'-5& ]5UOY.GAG MaxRankType2Wl bvG Vk /w :Zn. Z Q 8B 13 dLvG :Wl W Wl bv 3m;G ;k; 6OJC@.GAG MinRankType2Wl bvG VR /w :ZnGAG MaxMinRankRatioType2!e /w :Zn k !e [: /w :ZnG q2. L *: Wl .uG /w-5& ]5UOY."3NG YI:zv%(KPI)" WLm: W.v)!- 3NG YI :z v% Je& 8)]OY.% 10. 3NG YI :z %Cb.Je3mGAI NodeNumber3N! kQ m/Q D0ZGAI CoreNode3NL WlG YI 3NNv FQv! kQ %Cb. Z Q 8B 12 dLvG :Wl8N D G;G ;k; 6OJC@.GAI RankType13NG G' :Zn. Z Q 8B 13 dLvG :Wl W Wl bv 3m;G ;k; 6OJC@.GAI RankOrderType1G' :Zn! YEQ Wl ; x'GAI RankType23NG /w :Zn. Z Q 8B 13 dLvG :Wl W Wl bv 3m;G ;k; 6OJC@.GAI RankOrderType2/w :Zn! YEQ Wl ; x'GAI InDegree3NL hG ksN hG v. Z Q 8B 4 dLvG :keG wv;G ;k; 6OJC@.GAI OutDegree3NL hG R:N hG v. Z Q 8B 4 dLvG :keG wv;G ;k; 6OJC@.GAI GroupLeaderType1ke! G' .uLg, .uG .uJ :Zn! in@B ,a!- D}H MNv!kQ )N. Z Q 8B 13 dLvG :Wl W Wl bv 3m;G ;k; 6OJC@.GAI GroupLeaderConfidenceType1ke! G' .usB EZ.GAI GroupLeaderType2ke! /w .uLg, .uG .uJ :Zn! *!B ,a!- D}H MNv! kQ )N. Z Q 8B 13 dLvG :Wl W Wl bv 3m;G ;k; 6OJC@.GAI GroupLeaderConfidenceType2ke! /w .usB EZ.16IBM SPSS Modeler Social Network Analysis 17.1 gkZ H;-
& 3 e .j P.j P. 3d.j P.: RH W.v)G Y% 3N! GX 5b; !e 9L B 3N; D0O) W ?z& .jH !JvN v.-UOY. AN :B W.v) ke!- Y"Q Lt Wq! ?z! ]9{8N [vB [ 0:- "Y}; gkO) ke!- ke5N L?T! {s )b! [F}OY. !Jv& 8i ke! 0:-Gn keM fb h! GB ksN Lt Wq! !JvG ON& [UOY.[ dNB 0:-H ke! [Q !JvG q2; ke! 8/Q \.z T2 GUOY. L !Jv& B pg keB Lt Wq! 0: q2; [O) !Jv [G hp AN :& 8in @OY. [ dNL )i u 9: !Jv& 8 v V8g AN :! O w (ROb ! Jb 0:-H ke!- !Jv! u U E.G ke! j; v V@OY. [: [ dN: Jb ke! sk{8N !nL 2F VB [H !Jv& gkO) !. (ROB .j AN :& 8in @OY.0:-H ke! GX .j N !JvG Q.: keM fb h! GB ksN pg ke!T hwKOY. " ke! B g: 0:-H keMG hG -5! {s Y(OY. / ke! 8;x q2: 0:H ke! R:N pg h! kX Q ! !N * h ! !M 0@OY. {s- h ! !! t: hN Lt WqL h ! !! 7: Lt Wq8Y 9: !Jv& @OY.Y 6G O*! }Oi .j AN :B vKOY.v 0:-H ke! fb hG R:L FR flv [Gm VB !JvG gL hSI AN :& 'X Gm VB !JvgG QhN .: Sh*8Y7; flv ]9hjG v! / Qh! 5 Q fl.jL OaGi !e .jH !Jv& !x ke! AN :& C[Q ?z! !e N(UOY. 9& in L;OB ke!- AN :& C[OB fl !e t: !Jv& !x ke! ::N L;R 'hL !e .OY. L/Q ke& /0 VCO) L;; 9fR v V@OY.j P. 9&! *8- 2 dLvG :W.v) %C; W.v)& mAX 8JC@. W.v)B -N YgQ -5G fb h& !x 7mG keN 8:Gn V@OY.5. Dasgupta, K., R. Singh, B. Viswanathan, D. Chakraborty, S. Mukherjea, A. A. Nanavati, and A. Joshi. 2008. Social ties and their relevanceto churn in mobile telecom networks. In: Proceedings of the 11th international conference on extending database technology. New York,NY: ADM.17
".j AN :G 9" WLm: [ dN 0.80; gkQ W.v)G .j AN :& 8)]OY. Uz keAB SGN 1.00G *L RgH pg !Jv& wTOm V@OY. 1\h!- L ke! 0:-Gn ZEL20%& 8/Oi- hG ksN Lt Wq! ZEL !x !JvG 80%& [ 3OY. hB 100G ! !& !vm V@OY. ke DMG hB L Q ! !G ]; wvOGN L keB .jH !JvG ] GB 0.40; @OY. ke BMG hB Q ! !G 20%& wvO) 0.16G .jH !Jv *;:@OY. ke CB ke A!- C[Q gG 30%N 0.24G 2: !Jv& @OY.% 11. 9& .j AN :.\hke Ake Bke Cke Dke Eke Fke .080.240.1930.200.160.050.080.080.080.381\h!- : !JvN ke B, C, DB 2\h!- 0:-O) ks Lt Wq! !Jv& .jUOY. ke BB ks ke! x8GN !Jv& .jOv J@OY. ]i ke CB ksL V8GN ZEL !x !JvG 80%& ksN ke G!T .jUOY. 6v78N ke DB ZEL !x !JvG 80%& ke EMF!T [ .g, FB DMG h! u -BOGN E! B gG h& @OY.3\h!- ke E, F, G! 0:-KOY. ke EM GB ks ke! x8GN !Jv& .jOv J@OY.W/* ke FB \O ks keN G!T ZEL !x !JvG 80%& .jUOY. L& L keB ke CM F!- .jH !JvN 8:H 0.38G Q !Jv *; !}OY.L v!!- ke G! 0:-Gv8 .jR ks ke! x8GN AN :! aKOY. ke A!- C[Q !JvB W.v)! ID [vg ke G! !e t: g; @OY. W.v)! 5TH !Jv! L;;*8 fl ke GB ke A L;N !e 5b; @OY.j P. keR: H9.!- gk !IQ .j P. keB ?z! GX !e 5b; B 3N; D0Ob 'Q W.v) h& gkO) RH W.v) ]! ID v H 3NG }U8NNM ?z& UOY. 9& in?z! L;O fl keB W.v)G Y% / 3NG L;N NX !e L;R M 0: 3N; D0UOY. b8 p( W ke bB; !x %LM& u!CQ W/Q p(L }:OB 9x; 31R v V@OY.9& ii 3N L; :b *; w%L.O) .j 5b; wTR v V@OY.d8gW. ke!B P.R %LM! in VB N 3G m Jq X:. DOL JdUOY. 9 x0 DO: 3G Je& gkO) RH W.v)& GUOY. Q JeB " fb h! kQ R:& D0Og, QJeB " fb hG q{v& GOg, *Sv JeB " h! kQ 1C{ -5& v UOY. W.v)G pg hB fb{Ln UOY. N x0 DO!B ?z& C[OB D0ZG qOL in V@OY.18IBM SPSS Modeler Social Network Analysis 17.1 gkZ H;-
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