=Paper= {{Paper |id=Vol-1536/paper8 |storemode=property |title= Модель предметной области на основе сервиса Google Scholar Citations (A Domain Model Created on the Basis of Google Scholar Citations) |pdfUrl=https://ceur-ws.org/Vol-1536/paper8.pdf |volume=Vol-1536 |dblpUrl=https://dblp.org/rec/conf/rcdl/Lande15 }} == Модель предметной области на основе сервиса Google Scholar Citations (A Domain Model Created on the Basis of Google Scholar Citations) == https://ceur-ws.org/Vol-1536/paper8.pdf
                              Google
                                 Scholar Citations

                                        © . . 
                                                    ,
                                         ,  
                                      dwlande@gmail.com


                                                        & ! $ (   '   ').   
                                                &-$   $   – )!  "-
   !                   !          " !  [1], [3]. $    
   "  #  $ – $  #             –      " $  
                                                                "  # !%$ [5].
 $    %  !  #
  $.  !  &     !  & ! $,              $    ! ! #  % '
    '( #    Google Scholar                      $              (       $
Citations. )$ # )  ! &           )    %  ! &-$
!  #  $   .                               $           .             !      &
                                                          !  & ! $,    )' !
1                               #    "    Google Scholar
                                                      Citations   (http://scholar.google.com/citations).  
                                                 . 1               $        
     !( ! %" % ! $               Google Scholar Citations,    '( $
 #  $   (   !  &$.          % %  machine_learning (- 
 &'  $  ,  "  ,                " ).
 '  & %   '




                     / . 1.  $         Google Scholar Citations

    $ ,       '(               (label:      machine_learning)          "         
                                                      )     )' !  "#,
                                                           ' ! & &   , 
    XVII                          )     ,     ( ,
DAMDID/RCDL’2015 «                    Robert Tibshirani   !                ! (
                                   Statistics, Applied    Statistics, Statistical   learning,
     »,  !  ,  13-16              machine learning, high dimensional data). 0) 
   2015



                                                 57
  % '      &,  % '                  ! !                 % .  $
« "$-  ». 2      & )     &             ,      %$ "   &$
  '   "  ' &  $                 $ # %" (Intelligent Search Mechanism,
 . %   $           ' ! !,             ISM)  "          "-       
   ,  !% –   '                                          %   "
  "  ' !%& )   .                                 %  "  ( $ ) %
   ",      %  &      "              "  %, - # ! )
      & !  % "   !   ,                 %  [4], [6]. 8   "&  ,
,  &         !         ! ) %   ' !  -&   %,
%' , "     " %  $                  &-$     ' % .
 (!   ), &-! "                      &,  % '  ISM  
  "  #              "         #            &   $  .
  "      «   »            (&'             9       $    &$      
    '(  .                                   ( ! !     :
   4&'   !! !     "  #               x     !   "  %
                 %               $ (%  $)  , !#
  !          $  ,                   % ! $  ,    '($
"  ,                                   % &   %  !.
               %  !       &-$
  $  . !  ) !  $                   x   ! )     %    #      %
 ! !  &$     !                     $      !' ! )       
     Google Scholar Citations &'                   % ("   "),   !' ! 
 " !    %                          %$     % &   %  !.
(%" $ ! $)      ($                   x   ;  ( % $   ( ! !
  .  %    #                     #         % , '(
  $   !  &- 5                      &- ' &.
)$-       ) !         %      &- #         x   <     "%   " (  !
  #           $,                          %,    )   (  #
 # "    "   )                          ),  #    # 
   '.                                                   '(     % . < 
                                                                # %    & –  ( ! !
2 !                                                #    2.
                 $   %           x    <     "& %#       % %-,
 ! &  ,        )                      "  !,      "       &,       '(!
  #  !# (peer to peer, P2P – $                    % &   %  !,  
),  #        "  .                          $  
  #  !#           '  ,               ! ! !  # #   #
)$ % (peer) !! !    ,                 &#  $ Erd=s-Rényi (ER) Barabási-Albert
 .   #  "!# P2P !!' !                    ( . 2) [2].     % , "  & ER –  
)      ($ )      ! ,              "$!  &,  !           !  '( 
   &% '          (  '(                     %: )          % N       %"& 
           .          !            #     %      5 !'
 % %, )$ %  # % $    -&              !  &' p.  % &   % !  &
     )    # %                      % &         pN(N – 1)/2           "$
(   "        ).                           !%! .
    /          &,   '         "  &            0& BA –  %  & # $  $
  $,   )  $ &$                       $ % ( 
&' $  &',    $  "                %#, % - #  $). 2  &
-$ . !   # # #                "           (   ),    
  #  !#  ! !  & $.                   (           !,       $
 "-   "  " (Breadth First          %'" !  , "  " &- !%$ 
Search, BFS) % %     %               %,   !  !  %  #
  !     ! ( )$-                        !%$  & %           % . %
    !).   $  $               &-$     &' ' &- ' !  &
 %  " % , ! !                       ! ( % ! # !%$)  
&           " # %(              %.
% &  .     " %  ! 
                                                             ?  % &, "  %-   !!' !
      .  % &         -  
                                                             ! &  ,    -
   ! ( - % (QueryHit),  
                                                                     ,  &  ,
'"      '   # #,
                                                                    #  % !#, 



                                                     58
  ,         .. [5]       %"&              $ $  ,  -& " "
 &, "         ! $,                '($      #$, &-$  5 .
%             "        #          ;  , "  % &   ' %  ! 
           )       '       $                   )'   &-$
% -  , "     )                          $  – % &     % !
 &,  !  5'($  .                        $  ,     ,
<   & ! )! &-!, ,  ,                )  ) & %$ !   %    
Google Scholar Citations,  (& )  $             &-$  .
%  ,  % &    $ ! !




                          a                                                      ɛ

                   / . 2.    ,  $ %   &#  $:
                                  ɚ – Erd=s-Rényi; ɛ – Barabási-Albert
      #! %   , "    % 
&-             !,           ..     3       Google Scholar
' $  % -  , ..  "-            Citations
 %      Barabási-Albert,  
 % " &  ,  %  # %  &             $       -        ,      $
  BA. ;  $     &                 ! !   &       !,      
  "' !  "$         Erd=s-Rényi,        &$              Google Scholar Citations
 )    % " & !      !.      % &        '(  %:
"  % &   %  !  $ ER             x   2     ! ! &-$
BA      %    (1000 %,                  "& %#  ('"# ,
2000 !%$)     . 2. ?                        '( #                    )
% , "      !%         (  ),           ! !).
    '(   & ! !                  x     !  %    
  "   "  ,  %,                   "!.
   -      %  ! &-, " 
 ,     !  ,  "!.  #        x   ; ' !                     -  ,
       !  )                         '(     ( &
"  % &  ,   !%# ",                "   #               " 
    ' !   ! $. ?                         "    ! %).
  &, "  &  !  ( $ (                       x    %$         !' !    ,
 "   #" (Rich Clube),  $                   )(  !        #    #
             '       !% &               (     ).
 &- #       %.             %"&          x     %   #    !  , 
    &, "   $                               ! $ !
%       &$                               &$-  %. 2    &-$
«%   & !» ( ,   ,  & !),                   &'         # ,  $
"     ( &- ( '                         )  !        $
! $.                                                         $        #    #
         % &   "                   ,        # )      
  !     %)                        (  #.
  ! &- # !%#   ,                x   <     $  ,           #
    '( #        ! !,        '(                   #    3.
&% $   Google Scholar Citations.




                                                     59
 x     <     (   ,  "&                   J   %             "!
       %#                %-,              %-! $             «"#» %
        ( ! ! #               '(          ! !      $  .
       %        % "& "!, ..              !   !   $               (
       #    2. " "  !, "   &                                    !    
       %  !  .                                         )      
                                    %              $  !%:
       %  !         ,    " !             artifical_intelligence,   neural_networks,   machine_
        %,     ( !                learning, heuristic_search, evolutionary_computation
«%   », ..                              .
   #  #  ) $                      . 3                    ! $
  ,  )     - # !   #                  $  ,  $    
    $   (  ! !                         % %
      %  %                    . ",   %  "$ 
         "   "                          (  %               #   
 &'   "    ).                      "&# .    $ #
   «%   » !! !  %                  &%! "  &  &'   "  .
#        '(       %        
%- '   %  !.




                                      / . 3. J             ! $

    !  & ! $ % & !%$.
  "  %#  20, (  " 
 %- ,    #"  ,
    122,   "    &# %
–  -& 65. /   $  # %,
    . 4,         &     
                  !,   ..
 $   %  !,   
    #     !
  $ % %$  . ?!!    
! $  !   6.

"
    )$   $                       / . 4. /   $ %-  
  "   !%  !' ! !% )                                            ! $
 !     &# "#.



                                                      60
    J "      !    !                      [2]  .. 0     #  $ //
      « "$     –              ,                  V %V#  V!:
   '( ».                                                      9V    # &:    1(37). – .:
    )             %      #                   , 2012. – ?. 78-84. (URL:
  '   $  ,                           http://dwl.kiev.ua/art/piu2012/)
   !'    % $                      [3]  .., ?  $ ... #  % '
(  ), % % " – "                               "  #   $ // ;  !
  Google Scholar Citations.                                    !, 2014. – Y 2(12). – ?. 83-91.
    ?       &    &   "                     [4]  .., ?  $ .., T%  ..
)$                      "                     :   !  )#  !#:
  !           $                                . – M.:   (Editorial
  (  '( #,        %  '( # !              %             URSS), 2009. – 264 .
  #              ( ,     [3])               [5] 8- ;.Z.   "    
   "                                     " $ % % $ // O  10-$
 # %        !%$ [1].    "                     $ $  "$ 
  -&% &   -&                           «2      :   
% $     %#  &- #                        # ,    »
5     $ ( !        ).  &$-                 – RCDL’2008,  , / !, 2008. – C. 85-92.
 &%  % !, %)                        [6] Kalogeraki V., Gunopulos D., Zeinalipour-Yazti
     $,   "                              D. A Local Search Mechanism for Peer-to-Peer
. O..   !      "                        Networks // Proc. of CIKM'02, McLean VA, USA,
  (   - ! !.                                             2002.
    0&            !             
«       $       »,  )$                  A Domain Model Created on the Basis of
# ) &% & !   #  "#                            Google Scholar Citations
 $.  ,  "  ,  
  !  $ $                                            Dmitry V. Lande
 )#  $ (Complex Networks).                                   The technique of constructing terminological
                                                               networks – domain models based on sensing
#                                                         informational networks is proposed. Such a network is
[1]  T.., ?& ..,  - " ..,                considered a network of concepts relevant tag service
        .. ;     %  . 0 ,                  Google Scholar Citations. Proposed approach can be
        ,  ) !. T , 2009. – 173                 applied in many areas of science.
     .




                                                          61