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131
                                                    Publication and Citation Analysis

              following proposition is just a re-interpretation (in a different context) of
              the previous one.

              Proposition 2: The number of articles of a given author a i is
                n                         t
              P
                                  ð
                       ð
                j51  w ij 5 W   UÞ 5 W   W Þ , where U is the column vector consist-
                                           ii
                               i
              ing completely of 1’s.
                 The proof is exactly the same as that of Proposition 1. The only dif-
              ference is that C is replaced by W. Clearly similar propositions hold with
              other matrices. This shows the power of mathematics. One proof holds
              in all similar circumstances; only the interpretation is different.
              Proposition 3: The number of citations received by a given paper r j is
              P m        t         t
                   c
                i51 ij 5 U   Cð  Þ 5 C   CÞ jj
                                 ð
                              j
                 Similarly we have Proposition 4.
                 The     number     of     coauthors    of    paper     j    is
              P m         t           t
                   w ij 5 U   WÞ 5 W   WÞ
                                  ð
                       ð
                i51            j           jj
                 Again the same calculations prove Propositions 3 and 4. We prove
              Proposition 4 as an example.
                 Proof: The matrix W consists of zeros and ones, ones if the corre-
              sponding cell is occupied and zero otherwise. Keeping the column j fixed
              P m
                i51  w ij is just the number of ones in the j-th column. This is the num-
              ber of times paper r j has an author, or the total number of authors of
              paper r j .
                        t                                             t
                 Now U   W is an (n,1) matrix, i.e., a column vector. U   Wð  Þ is
                                                                           j
              the  j-th  element  of  this  column   vector.  It  is  equal  to:
                                                 m
                                        m        P
                           m
                                 t
                t
                                       P
                         P
              ð U   WÞ 5   i51  ð U Þw ij 5  1:w ij 5  w ij .
                      j
                                  i
                                       i51       i51
                               t
                                                t
                 Similarly  ð W   WÞ 5  P m  ð W Þ : WÞ 5  P m  w ij w ij 5  P m  w ij ,
                                                   ð
                                    jj    i51    ji   ij    i51          i51
                                                                     2
              where, again, this last equality follows from the facts that 1 5 1 and
               2
              0 5 0.
              5.10 BIBLIOGRAPHIC COUPLING AND COCITATION
              ANALYSIS
              5.10.1 Bibliographic Coupling
              Bibliographic coupling and cocitation are two notions used to describe
              mutual relations in a citation network. Until now we studied relations
              that can be described as Cit(A;B), i.e., A cites B. In this section we move
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