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    <title>SCIDAR Collection:</title>
    <link>https://scidar.kg.ac.rs/handle/123456789/8214</link>
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    <pubDate>Sun, 10 May 2026 07:09:56 GMT</pubDate>
    <dc:date>2026-05-10T07:09:56Z</dc:date>
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      <title>SCIDAR Collection:</title>
      <url>http://https://scidar.kg.ac.rs:80/retrieve/2068baf0-71c7-41b7-a42d-0981de30e08f/b49a481c-06a6-432f-88fb-a9322c278510.png</url>
      <link>https://scidar.kg.ac.rs/handle/123456789/8214</link>
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      <title>On the Hamming Spectrum and Hamming Energy of Graphs</title>
      <link>https://scidar.kg.ac.rs/handle/123456789/23123</link>
      <description>Title: On the Hamming Spectrum and Hamming Energy of Graphs
Authors: Borovićanin, Bojana; Stojanović, Nenad; Vučićević, Nemanja
Abstract: In this paper, we study the spectrum of the Hamming matrix H(G) of a simple graph G. The Hamming matrix, recently introduced in terms of the Hamming distances between binary strings derived from the incidence matrix, offers an alternative and insightful perspective on spectral and chemical graph theory. We derive upper and lower bounds for the largest and smallest eigenvalues of the Hamming matrix of paths, respectively, as well as closed-form expressions for the Hamming spectrum and Hamming energy of regular graphs (including cycles as a special case), their complements, and their line graphs, with respect to the classical adjacency spectrum. Furthermore, we provide a factorization that relates the characteristic polynomial of the Hamming matrix of a regular graph to that of its complement and its line graph. These results shed new light on how Hamming-based invariants interact with classical spectral quantities.</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://scidar.kg.ac.rs/handle/123456789/23123</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
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      <title>On the geometric-arithmetic index</title>
      <link>https://scidar.kg.ac.rs/handle/123456789/23122</link>
      <description>Title: On the geometric-arithmetic index
Authors: Milivojević-Danas, Milica; Pavlović, Ljiljana
Editors: Tomović, Tatjana</description>
      <pubDate>Mon, 01 Jan 2018 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://scidar.kg.ac.rs/handle/123456789/23122</guid>
      <dc:date>2018-01-01T00:00:00Z</dc:date>
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    <item>
      <title>METRIC DIMENSION OF COMPLETE SPLIT GRAPHS</title>
      <link>https://scidar.kg.ac.rs/handle/123456789/23121</link>
      <description>Title: METRIC DIMENSION OF COMPLETE SPLIT GRAPHS
Authors: Kratica, Jozef; Milivojević-Danas, Milica
Abstract: In this paper, the problem of determining the metric dimension for special class of graphs, named &#xD;
complete split graphs 𝐾^∗_{𝑘,𝑛−𝑘} is considered. It is stated and proved formula for the metric dimension of this graphs: for  𝑛 − 𝑘 ≥ 2  and 𝑘 ≥ 2, as well as for 𝑘 = 1 and  𝑛 ≥ 3, metric dimension of 𝐾^∗_{𝑘,𝑛−𝑘} is equal to n −2, otherwise metric dimension of 𝐾^∗_{𝑘,𝑛−𝑘}  is equal to 𝑛 − 1.</description>
      <pubDate>Sat, 01 Jan 2022 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://scidar.kg.ac.rs/handle/123456789/23121</guid>
      <dc:date>2022-01-01T00:00:00Z</dc:date>
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      <title>Algorithms for Decision-Making Based on Energies of Probabilistic and Dual Probabilistic Soft Set</title>
      <link>https://scidar.kg.ac.rs/handle/123456789/23095</link>
      <description>Title: Algorithms for Decision-Making Based on Energies of Probabilistic and Dual Probabilistic Soft Set
Authors: Vučićević, Nemanja; Stojanović, Nenad; Sezgin , Aslıhan
Abstract: After introducing the concepts of soft sets and graph energy as independent terms from different areas of mathematics, there has been significant application of both concepts. The theory of soft sets has been combined with other theories, such as fuzzy set theory and probability theory. From this combination with probability theory, a structure known as probabilistic soft set has emerged, which has been discussed relatively little in the context of decision-making. In this paper, we propose new decision-making algorithms based on numerical characteristics, which we call energies of probabilistic soft sets and dual probabilistic soft sets. The introduced concept of energy for probabilistic soft sets and dual probabilistic soft sets originated from integrating the idea of graph energy into probabilistic soft sets. The paper also presents a comparison of the obtained results using energy with results obtained by other algorithms.</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://scidar.kg.ac.rs/handle/123456789/23095</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
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