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A critical discussion of the publication by Nasrullah Memon, David L. Hicks, and Henrik Legind Larsen: How Investigative Data Mining Can Help Intelligence Agencies to Discover Dependence of Nodes in Terrorist Networks

in: R. Alhajj et al. (Eds.): ADMA 2007, LNAI 4632, pp. 430–441, 2007. Springer Berlin Heidelberg →ISBN 978-3-540-73870-1 →Download →Erratum


The analysis presented here (as of January 14, 2014), including all documented findings of plagiarism, is available for →download.


The pages 430-440 of the paper have been analyzed. Page 441 contains only part of the bibliography and has been excluded:


All pages except for page 439 contain plagiarism. Clicking on the respective page number in the table above leads to the documentation of the text parallels on the corresponding page. On pages coloured in light red more than 75% of the text is plagiarized, on pages coloured in dark red between 50% and 75% of the text is plagiarized and on pages coloured in blue less than 50% of the text is plagiarized.


The following chart illustrates the amount and the distribution of the findings of text parallels. The colours show the type of plagiarism diagnosed:

  • grau="Komplettplagiat": the source of the text parallel is not given, the copy is verbatim.
  • rot="Verschleierung": the source of the text parallel is not given, the copied text will be somewhat modified.
  • gelb="Bauernopfer": the source of the text parallel is mentioned, but the extent and/or closeness of the copying is not made clear by the reference.

Nm2 col.png

Prominent findings of plagiarism


  • Currently there are 23 reviewed fragments documented that are considered to be violations of citation rules. For 20 of them there is no reference given to the source used („Verschleierungen“ and „Komplettplagiate“). For 3 fragments the source is given, but the extent of the used text is not made clear („Bauernopfer“).
  • The publication has 11 pages that have been analyzed. On a total of 10 of these pages violations of citation rules have been documented. This represents a percentage of 90.9%. The 11 analyzed pages break down with respect to the amount of text parallels encountered as follows:
Percentage text parallels Number of pages
No text parallels documented 1
0%-50% text parallels 6
50%-75% text parallels 2
75%-100% text parallels 2
From these statistics an extrapolation of the amount of text of the publication under investigation that has been documented as problematic can be estimated (conservatively) as about 46% of the main part of the publication.


Most of the text of the paper has been recycled by the authors elsewhere:

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