<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>2227-1899</journal-id>
<journal-title><![CDATA[Revista Cubana de Ciencias Informáticas]]></journal-title>
<abbrev-journal-title><![CDATA[RCCI]]></abbrev-journal-title>
<issn>2227-1899</issn>
<publisher>
<publisher-name><![CDATA[Editorial Ediciones Futuro]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2227-18992022000300001</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Herramienta para el caŽlculo de la centralidad en redes multicapas]]></article-title>
<article-title xml:lang="en"><![CDATA[A new framework for centrality on multilayer networks]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Díaz Matos]]></surname>
<given-names><![CDATA[Armando]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Grass Boada]]></surname>
<given-names><![CDATA[Darian Horacio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Centro de Desarrollo de Aplicaciones, Tecnologías y Sistemas (DATYS)  ]]></institution>
<addr-line><![CDATA[ Santiago de Cuba]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Centro de Aplicaciones de Tecnologías de Avanzada  ]]></institution>
<addr-line><![CDATA[ La Habana]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>09</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>09</month>
<year>2022</year>
</pub-date>
<volume>16</volume>
<numero>3</numero>
<fpage>1</fpage>
<lpage>17</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2227-18992022000300001&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S2227-18992022000300001&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S2227-18992022000300001&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN El anaŽlisis de la relevancia de las entidades que conforman una red es una tarea que permite analizar, com- prender y hasta predecir el futuro de los miembros de la red asŽ&#305; como el flujo y alcance de la informacioŽn. En las redes donde existen varios tipos de relaciones entre sus entidades se denominan redes multicapas, ejemplo de ellas son las redes sociales donde usuarios conectan con distintos tipos de parentescos ya sean familiares, laborales o etc. En este tipo de redes, el caŽlculo de la relevancia o centralidad de las entidades es una tarea re- tadora debido a las muŽltiples forma de analizar este concepto y al costo computacional que acarrea su caŽlculo en redes de grandes dimensiones. En este trabajo se presenta una herramienta para el caŽlculo de las medidas de centralidad en redes multicapas. Para su elaboracioŽn se empleoŽ el lenguaje Scala y el framework Spark, con el propoŽsito de calcular de forma paralela y distribuida las diferentes meŽtricas de centralidad. En el anaŽlisis de la relevancia se consideran los diferentes niveles semaŽnticos determinados por una seleccioŽn de los tipos de aristas, asŽ&#305; como su mezcla. Los experimentos realizados alcanzaron niveles de aceleracioŽn de hasta 28.65 y 25.48 veces para la medida de CercanŽ&#305;a e IntermediacioŽn respectivamente. De igual forma, pero en menor medida, la meŽtrica de Vector Propio aceleroŽ 6.91 veces. Los resultados demuestran que las medidas de centralidad implementadas escalan tanto vertical como horizontalmente.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT The analysis of the relevance of the entities that make up a network is a task that allows to analyze, understand and even predict the future of the members of the network as well as the flow and scope of the information. Are called multilayer networks those that have several types of relationships between their entities, an example of which are social networks where users connect with different types of relationships, whether they are family, work or etc. Calculating the relevance or centrality of entities in multilayer networks is a challenging task due to the multiple ways of analyzing this concept and the computational cost involved in calculating it in large networks. This paper presents a tool for calculating centrality measures in multilayer networks. It used Scala language and the Spark framework with the purpose of calculating in a parallel and distributed way the different centrality metrics. In the analysis of relevance, the different semantic levels determined by a selection of the types of edges as well as their merge are considered. The experiments speed up to 28.65 and 25.48 times for the measure of Closeness and Intermediation, respectively. Similarly, but to a lesser extent, the Eigenvector metrics reached accelerations of 6.91 times. The results show that the measures of centrality implemented scale.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Redes Multicapas]]></kwd>
<kwd lng="es"><![CDATA[Medidas de Centralidad]]></kwd>
<kwd lng="es"><![CDATA[Spark Framework]]></kwd>
<kwd lng="en"><![CDATA[Multilayer Networks]]></kwd>
<kwd lng="en"><![CDATA[Centrality Measures]]></kwd>
<kwd lng="en"><![CDATA[Spark Framework]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mohammed]]></surname>
<given-names><![CDATA[Alshahrani]]></given-names>
</name>
<name>
<surname><![CDATA[Zhu]]></surname>
<given-names><![CDATA[Fuxi]]></given-names>
</name>
<name>
<surname><![CDATA[Ahmed]]></surname>
<given-names><![CDATA[Sameh]]></given-names>
</name>
<name>
<surname><![CDATA[Soufiana]]></surname>
<given-names><![CDATA[Mekouar]]></given-names>
</name>
<name>
<surname><![CDATA[Sheng]]></surname>
<given-names><![CDATA[Huang]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Efficient algorithms based on centrality measures for identification of top-k influential users in social networks]]></article-title>
<source><![CDATA[Information Sciences]]></source>
<year>2020</year>
<volume>527</volume>
<page-range>88-107</page-range></nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[M]]></surname>
<given-names><![CDATA[Balakrishnan]]></given-names>
</name>
<name>
<surname><![CDATA[G]]></surname>
<given-names><![CDATA[TV]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A neural network framework for predicting dynamic variations in heterogeneous social networks]]></article-title>
<source><![CDATA[PLoS ONE]]></source>
<year>2020</year>
<volume>15</volume>
<numero>4</numero>
<issue>4</issue>
</nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bonacich]]></surname>
<given-names><![CDATA[Phillip]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Power and centrality: A family of measures]]></article-title>
<source><![CDATA[American journal of sociology]]></source>
<year>1987</year>
<volume>92</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>1170-82</page-range></nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Brandes]]></surname>
<given-names><![CDATA[Ulrik]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A faster algorithm for betweenness centrality]]></article-title>
<source><![CDATA[Journal of mathematical sociology]]></source>
<year>2001</year>
<volume>25</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>163-77</page-range></nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[Jianjun]]></given-names>
</name>
<name>
<surname><![CDATA[Deng]]></surname>
<given-names><![CDATA[Yue]]></given-names>
</name>
<name>
<surname><![CDATA[Su]]></surname>
<given-names><![CDATA[Zhen]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[Songxin]]></given-names>
</name>
<name>
<surname><![CDATA[Gao]]></surname>
<given-names><![CDATA[Chao]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[Xianghua]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Identifying multiple influen- tial users based on the overlapping influence in multiplex networks]]></article-title>
<source><![CDATA[IEEE Access]]></source>
<year></year>
<volume>7</volume>
<page-range>156150-9</page-range></nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[Zhibin]]></given-names>
</name>
<name>
<surname><![CDATA[Lin]]></surname>
<given-names><![CDATA[Xi]]></given-names>
</name>
<name>
<surname><![CDATA[Yin]]></surname>
<given-names><![CDATA[Yafeng]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[Meng]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Path controlling of automated vehicles for system optimum on transportation networks with heterogeneous traffic stream]]></article-title>
<source><![CDATA[Transportation Research Part C: Emerging Technologies]]></source>
<year>2020</year>
<volume>110</volume>
<page-range>312-29</page-range></nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[Jiawei]]></given-names>
</name>
<name>
<surname><![CDATA[Sun]]></surname>
<given-names><![CDATA[Yizhou]]></given-names>
</name>
<name>
<surname><![CDATA[Shi]]></surname>
<given-names><![CDATA[Chuan]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[Yitong]]></given-names>
</name>
<name>
<surname><![CDATA[Philip]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Yu. A survey of heterogeneous information network analysis]]></article-title>
<source><![CDATA[IEEE Transactions on Knowledge and Data Engineering]]></source>
<year>2017</year>
<page-range>17-37</page-range></nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bacco]]></surname>
<given-names><![CDATA[Caterina De]]></given-names>
</name>
<name>
<surname><![CDATA[Eleanor]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Power, Daniel B. Larremore, and Cristopher Moore. Community detection, link prediction, and layer interdependence in multilayer networks]]></article-title>
<source><![CDATA[Physical Review E]]></source>
<year></year>
<volume>95</volume>
<numero>4</numero>
<issue>4</issue>
</nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Domenico]]></surname>
<given-names><![CDATA[Manlio De]]></given-names>
</name>
<name>
<surname><![CDATA[SoleŽ-Ribalta]]></surname>
<given-names><![CDATA[Albert]]></given-names>
</name>
<name>
<surname><![CDATA[Omodei]]></surname>
<given-names><![CDATA[Elisa]]></given-names>
</name>
<name>
<surname><![CDATA[GoŽmez]]></surname>
<given-names><![CDATA[Sergio]]></given-names>
</name>
<name>
<surname><![CDATA[Arenas]]></surname>
<given-names><![CDATA[Alex]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Ranking in interconnected multilayer networks reveals versatile nodes]]></article-title>
<source><![CDATA[Nature communications]]></source>
<year>2015</year>
<volume>6</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>1-6</page-range></nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Deng]]></surname>
<given-names><![CDATA[Weiwei]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Leveraging consumer behaviors for product recommendation: an approach based on heteroge- neous network]]></article-title>
<source><![CDATA[Electronic Commerce Research]]></source>
<year>2020</year>
<page-range>1-27</page-range></nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Nicosia]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[Battiston]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Latora]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Structural measures for multiplex networks]]></article-title>
<source><![CDATA[Phys. Rev. E, Stat. Phys. Plasmas Fluids Relat. Interdiscip]]></source>
<year></year>
<volume>89</volume>
<numero>3</numero>
<issue>3</issue>
</nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gil]]></surname>
<given-names><![CDATA[Reynaldo]]></given-names>
</name>
</person-group>
<source><![CDATA[Algoritmos de Agrupamiento sobre Grafos y su ParalelizacioŽn]]></source>
<year>2005</year>
<publisher-loc><![CDATA[Espan&#732;a ]]></publisher-loc>
<publisher-name><![CDATA[Universidad Jaume I]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B13">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gleich]]></surname>
<given-names><![CDATA[David Francis]]></given-names>
</name>
<name>
<surname><![CDATA[Saunders]]></surname>
<given-names><![CDATA[Michael]]></given-names>
</name>
</person-group>
<source><![CDATA[Models and algorithms for pagerank sensitivity]]></source>
<year>2009</year>
<publisher-name><![CDATA[Stanford University Stanford, CA]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B14">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Jadidi]]></surname>
<given-names><![CDATA[MohammadMohsen]]></given-names>
</name>
<name>
<surname><![CDATA[Jamshidiha]]></surname>
<given-names><![CDATA[Saeed]]></given-names>
</name>
<name>
<surname><![CDATA[Masroori]]></surname>
<given-names><![CDATA[Iman]]></given-names>
</name>
<name>
<surname><![CDATA[Moslemi]]></surname>
<given-names><![CDATA[Pegah]]></given-names>
</name>
<name>
<surname><![CDATA[Mohammadi]]></surname>
<given-names><![CDATA[Abbas]]></given-names>
</name>
<name>
<surname><![CDATA[Pourahmadi]]></surname>
<given-names><![CDATA[Vahid]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A two-step vaccination technique to limit covid-19 spread using mobile data]]></article-title>
<source><![CDATA[Sus- tainable Cities and Society]]></source>
<year>2021</year>
<volume>70</volume>
</nlm-citation>
</ref>
<ref id="B15">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Katz]]></surname>
<given-names><![CDATA[Leo]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A new status index derived from sociometric analysis]]></article-title>
<source><![CDATA[Psychometrika]]></source>
<year>1953</year>
<volume>18</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>39-43</page-range></nlm-citation>
</ref>
<ref id="B16">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Behera]]></surname>
<given-names><![CDATA[Ranjan Kumar]]></given-names>
</name>
<name>
<surname><![CDATA[Rath]]></surname>
<given-names><![CDATA[Santanu Kumar]]></given-names>
</name>
<name>
<surname><![CDATA[Misra]]></surname>
<given-names><![CDATA[Sanjay]]></given-names>
</name>
<name>
<surname><![CDATA[Damas&#711;evic&#711;ius]]></surname>
<given-names><![CDATA[Robertas]]></given-names>
</name>
<name>
<surname><![CDATA[MaskeliuŻnas]]></surname>
<given-names><![CDATA[Rytis]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Distributed centrality analysis of social network data using MapReduce]]></article-title>
<source><![CDATA[Algorithms]]></source>
<year></year>
<volume>12</volume>
<numero>8</numero>
<issue>8</issue>
</nlm-citation>
</ref>
<ref id="B17">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[Chuang]]></given-names>
</name>
<name>
<surname><![CDATA[Ma]]></surname>
<given-names><![CDATA[Yifang]]></given-names>
</name>
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[Jing]]></given-names>
</name>
<name>
<surname><![CDATA[Nussinov]]></surname>
<given-names><![CDATA[Ruth]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[Yi-Cheng]]></given-names>
</name>
<name>
<surname><![CDATA[Cheng]]></surname>
<given-names><![CDATA[Feixiong]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[Zi-Ke]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Computational network biology: data, models, and applications]]></article-title>
<source><![CDATA[Physics Reports]]></source>
<year>2020</year>
<volume>846</volume>
<page-range>1-66</page-range></nlm-citation>
</ref>
<ref id="B18">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[GoŽmez]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[De Domenico]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[SoleŽ-Ribalta]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Arenas]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Navigability of interconnected networks under random failures]]></article-title>
<source><![CDATA[Proc. Nat. Acad. Sci. USA]]></source>
<year></year>
<volume>111</volume>
<numero>23</numero>
<issue>23</issue>
<page-range>8351-6</page-range></nlm-citation>
</ref>
<ref id="B19">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[X.]]></surname>
<given-names><![CDATA[Li M.]]></given-names>
</name>
<name>
<surname><![CDATA[K.P.]]></surname>
<given-names><![CDATA[Ng]]></given-names>
</name>
<name>
<surname><![CDATA[Y.]]></surname>
<given-names><![CDATA[Ye.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Multirank: Co-ranking for objects and relations in multi-relational data]]></article-title>
<source><![CDATA[17th ACM SIGKDD Int. Conf. Knowl. Discovery Data Mining]]></source>
<year></year>
<volume>8</volume>
<numero>10</numero>
<issue>10</issue>
<page-range>1217-25</page-range></nlm-citation>
</ref>
<ref id="B20">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Y.]]></surname>
<given-names><![CDATA[Zhang J.]]></given-names>
</name>
<name>
<surname><![CDATA[Chen Y.]]></surname>
<given-names><![CDATA[Sun Y.Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Liu J.]]></surname>
<given-names><![CDATA[Zhang M.]]></given-names>
</name>
<name>
<surname><![CDATA[Wu]]></surname>
<given-names><![CDATA[S. He]]></given-names>
</name>
<name>
<surname><![CDATA[H. V.]]></surname>
<given-names><![CDATA[Poor.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A tensor-based framework for studying eigenvector multicentrality in multilayer networks]]></article-title>
<source><![CDATA[Proc. Nat. Acad. Sci. USA]]></source>
<year></year>
<volume>116</volume>
<numero>31</numero>
<issue>31</issue>
<page-range>15407-13</page-range></nlm-citation>
</ref>
<ref id="B21">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Matos]]></surname>
<given-names><![CDATA[Armando DŽ&#305;az]]></given-names>
</name>
<name>
<surname><![CDATA[Pons]]></surname>
<given-names><![CDATA[Reynaldo Gil]]></given-names>
</name>
<name>
<surname><![CDATA[Bueno]]></surname>
<given-names><![CDATA[Reynier Ortega]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[PrediccioŽn de la evolucioŽn de comuni- dades en redes sociales]]></article-title>
<source><![CDATA[Revista Cubana de Ciencias InformaŽticas]]></source>
<year>2018</year>
<volume>12</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>115-27</page-range></nlm-citation>
</ref>
<ref id="B22">
<nlm-citation citation-type="book">
<collab>Mark Newman</collab>
<source><![CDATA[Networks]]></source>
<year>2018</year>
<publisher-name><![CDATA[Oxford university press]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B23">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Omodei]]></surname>
<given-names><![CDATA[Elisa]]></given-names>
</name>
<name>
<surname><![CDATA[De moneico]]></surname>
<given-names><![CDATA[Manlino De]]></given-names>
</name>
<name>
<surname><![CDATA[Arenas]]></surname>
<given-names><![CDATA[Alex]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Characterizing interactions in online social net- works during exceptional events]]></article-title>
<source><![CDATA[Frontiers in Physics]]></source>
<year>2015</year>
</nlm-citation>
</ref>
<ref id="B24">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[A.]]></surname>
<given-names><![CDATA[Reiffers-Masson]]></given-names>
</name>
<name>
<surname><![CDATA[V.]]></surname>
<given-names><![CDATA[Labatut.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Opinion-based centrality in multiplex networks: A convex optimization approach]]></article-title>
<source><![CDATA[Netw. Sci]]></source>
<year></year>
<volume>5</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>213-34</page-range></nlm-citation>
</ref>
<ref id="B25">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ribeiro]]></surname>
<given-names><![CDATA[Ana Carolina]]></given-names>
</name>
<name>
<surname><![CDATA[Azevedo]]></surname>
<given-names><![CDATA[Bruno]]></given-names>
</name>
<name>
<surname><![CDATA[Oliveira]]></surname>
<given-names><![CDATA[Jorge]]></given-names>
</name>
<name>
<surname><![CDATA[Baptista]]></surname>
<given-names><![CDATA[Ana Alice]]></given-names>
</name>
</person-group>
<source><![CDATA[How to measure influence in social networks?]]></source>
<year>2020</year>
<conf-name><![CDATA[ International Conference on Research Challenges in Information Science]]></conf-name>
<conf-loc> </conf-loc>
<page-range>38-57</page-range><publisher-name><![CDATA[Springer]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B26">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rochat]]></surname>
<given-names><![CDATA[Yannick]]></given-names>
</name>
</person-group>
<source><![CDATA[Closeness centrality extended to unconnected graphs: The harmonic centrality index]]></source>
<year>2009</year>
<publisher-name><![CDATA[Tech- nical report]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B27">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Smolyak]]></surname>
<given-names><![CDATA[Alex]]></given-names>
</name>
<name>
<surname><![CDATA[Levy]]></surname>
<given-names><![CDATA[Orr]]></given-names>
</name>
<name>
<surname><![CDATA[Vodenska]]></surname>
<given-names><![CDATA[Irena]]></given-names>
</name>
<name>
<surname><![CDATA[Buldyrev]]></surname>
<given-names><![CDATA[Sergey]]></given-names>
</name>
<name>
<surname><![CDATA[Havlin]]></surname>
<given-names><![CDATA[Shlomo]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Mitigation of cascading failures in complex networks]]></article-title>
<source><![CDATA[Scientific reports]]></source>
<year>2020</year>
<volume>10</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>1-12</page-range></nlm-citation>
</ref>
<ref id="B28">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Stark]]></surname>
<given-names><![CDATA[Chris]]></given-names>
</name>
<name>
<surname><![CDATA[Breitkreutz]]></surname>
<given-names><![CDATA[Bobby-Joe]]></given-names>
</name>
<name>
<surname><![CDATA[Reguly]]></surname>
<given-names><![CDATA[Teresa]]></given-names>
</name>
<name>
<surname><![CDATA[Boucher]]></surname>
<given-names><![CDATA[Lorrie]]></given-names>
</name>
<name>
<surname><![CDATA[Breitkreutz]]></surname>
<given-names><![CDATA[Ashton]]></given-names>
</name>
<name>
<surname><![CDATA[Tyers]]></surname>
<given-names><![CDATA[Mike]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Biogrid: a general repository for interaction datasets]]></article-title>
<source><![CDATA[Nucleic acids research]]></source>
<year>2006</year>
<numero>^s1</numero>
<issue>^s1</issue>
<supplement>1</supplement>
<page-range>D535-9</page-range></nlm-citation>
</ref>
<ref id="B29">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Xu]]></surname>
<given-names><![CDATA[Bo]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[Changlong]]></given-names>
</name>
<name>
<surname><![CDATA[Zhuang]]></surname>
<given-names><![CDATA[Hang]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[Jiali]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[Qingfeng]]></given-names>
</name>
<name>
<surname><![CDATA[Zhou]]></surname>
<given-names><![CDATA[Xuehai]]></given-names>
</name>
</person-group>
<source><![CDATA[Efficient distributed smith-waterman algorithm based on apache spark]]></source>
<year>2017</year>
<conf-name><![CDATA[ 2017 IEEE 10th International Conference on Cloud Computing (CLOUD)]]></conf-name>
<conf-loc> </conf-loc>
<page-range>608-15</page-range><publisher-name><![CDATA[IEEE]]></publisher-name>
</nlm-citation>
</ref>
</ref-list>
</back>
</article>
