Skip to main content

and
  1. No Access

    Chapter and Conference Paper

    Correlation Between Researchers’ Centrality and H-Index: A Case Study

    The quality of research’ work is often very hard to assess, While controversial, the use of indices to measure the performance of the researchers and of institutions is widely accepted in scientific communitie...

    V. Carchiolo, M. Grassia, M. Malgeri, G. Mangioni in Intelligent Distributed Computing XV (2023)

  2. No Access

    Chapter and Conference Paper

    Geometric Deep Learning Graph Pruning to Speed-Up the Run-Time of Maximum Clique Enumerarion Algorithms

    In this paper we propose a method to reduce the running time to solve the Maximum Clique Enumeration (MCE) problem. Specifically, given a network we employ geometric deep learning in order to find a simpler ne...

    A. Arciprete, V. Carchiolo, D. Chiavetta in Complex Networks and Their Applications XI (2023)

  3. Article

    Open Access

    Microencapsulation of Phenolic Extracts from Cocoa Shells to Enrich Chocolate Bars

    Cocoa bean shells were subjected to green extraction technologies, based on the absence of toxic organic solvents, to recover polyphenols; the extract was then encapsulated using a spray dryer and maltodextrin...

    M. Grassia, M.C. Messia, E. Marconi, Ȫ. Şakiyan Demirkol in Plant Foods for Human Nutrition (2021)

  4. No Access

    Chapter and Conference Paper

    Group Cohesion Assessment in Networks

    Networks measurement is essential to catch and quantify their features, behaviour and/or emerging phenomena. The goal of cohesiveness metric introduced here is to establish the level of cohesion among network nod...

    V. Carchiolo, M. Grassia, A. Longheu, M. Malgeri, G. Mangioni in Complex Networks XI (2020)

  5. No Access

    Chapter and Conference Paper

    A PageRank Inspired Approach to Measure Network Cohesiveness

    Basics of PageRank algorithm have been widely adopted in its variations, tailored for specific scenarios. In this work, we consider the Black Hole metric, an extension of the original PageRank that leverages a...

    V. Carchiolo, M. Grassia, A. Longheu in Internet and Distributed Computing Systems (2019)

  6. No Access

    Chapter and Conference Paper

    Long Distance In-Links for Ranking Enhancement

    Ranking is a widely used technique to classify nodes in networks according to their relevance. Increasing one’s rank is a desiderable feature in almost any context; several approaches have been proposed to ach...

    V. Carchiolo, M. Grassia, A. Longheu, M. Malgeri in Intelligent Distributed Computing XII (2018)

  7. No Access

    Chapter and Conference Paper

    Climbing Ranking Position via Long-Distance Backlinks

    The best attachment consists in finding a good strategy that allows a node inside a network to achieve a high rank. This is an open issue due to its intrinsic computational complexity and to the giant dimension o...

    V. Carchiolo, M. Grassia, A. Longheu in Internet and Distributed Computing Systems (2018)

  8. No Access

    Chapter and Conference Paper

    Exploiting Long Distance Connections to Strengthen Network Robustness

    Network fault tolerance (also known as resilience or robustness) is becoming a highly relevant topic, expecially in real networks, where it is essential to know to what extent it is still working notwithstandi...

    V. Carchiolo, M. Grassia, A. Longheu in Internet and Distributed Computing Systems (2018)