Skip to main content

Articles

Page 1 of 13

  1. Networks provide an understandable and, in the case of small size, visualizable representation of data, which allows us to obtain essential information about the relationships between pairs of nodes, e.g., the...

    Authors: Emanuel Dopater, Eliska Ochodkova and Milos Kudelka
    Citation: Applied Network Science 2024 9:28
  2. Understanding the spread of SARS-CoV-2 has been one of the most pressing problems of the recent past. Network models present a potent approach to studying such spreading phenomena because of their ability to r...

    Authors: Christine Hedde-von Westernhagen, Ayoub Bagheri and Javier Garcia-Bernardo
    Citation: Applied Network Science 2024 9:27
  3. We present the first formal network analysis of curricular networks for public institutions, focusing around five midwestern universities. As a first such study of public institutions, our analyses are primari...

    Authors: Bonan Yang, Mahdi Gharebhaygloo, Hannah Rachel Rondi, Efrosini Hortis, Emilia Zeledon Lostalo, Xiaolan Huang and Gunes Ercal
    Citation: Applied Network Science 2024 9:25
  4. When an hypothesized peer effect (also termed social influence or contagion) is believed to act between units (e.g., hospitals) above the level at which data is observed (e.g., patients), a network autocorrela...

    Authors: Guanqing Chen and A. James O’Malley
    Citation: Applied Network Science 2024 9:24
  5. This study examines sports and physical activities among Chinese aged 18–65, using network analysis on a significant random sample. It categorizes sports into 11 groups based on public selection, with a commun...

    Authors: Xiangyang Bi, Zhanning Sun and Boran Hu
    Citation: Applied Network Science 2024 9:22
  6. In this work, we investigate the analysis of generators for dynamic graphs, which are defined as graphs whose topology changes over time. We focus on generated graphs whose order (number of nodes) varies over ...

    Authors: Vincent Bridonneau, Frédéric Guinand and Yoann Pigné
    Citation: Applied Network Science 2024 9:21
  7. The social networks that interconnect groups of people are often “multi-layered”—comprised of a variety of relationships and interaction types. Although researchers increasingly acknowledge the presence of mul...

    Authors: Aaron Thomas Clark, Jennifer M. Larson and Janet I. Lewis
    Citation: Applied Network Science 2024 9:18
  8. Influence maximization (IM) is an important topic in network science where a small seed set is chosen to maximize the spread of influence on a network. Recently, this problem has attracted attention on tempora...

    Authors: Eric Yanchenko, Tsuyoshi Murata and Petter Holme
    Citation: Applied Network Science 2024 9:16
  9. Reconstructing dynamics of complex systems from sparse, incomplete time series data is a challenging problem with applications in various domains. Here, we develop an iterative heuristic method to infer the un...

    Authors: Zhongqi Cai, Enrico Gerding and Markus Brede
    Citation: Applied Network Science 2024 9:13
  10. In recent years, Artificial Intelligence (AI) shows a spectacular ability of insertion inside a variety of disciplines which use it for scientific advancements and which sometimes improve it for their conceptu...

    Authors: Sylvain Fontaine, Floriana Gargiulo, Michel Dubois and Paola Tubaro
    Citation: Applied Network Science 2024 9:8
  11. Inferring relations from correlational data allows researchers across the sciences to uncover complex connections between variables for insights into the underlying mechanisms. The researchers often represent ...

    Authors: Magnus Neuman, Joaquín Calatayud, Viktor Tasselius and Martin Rosvall
    Citation: Applied Network Science 2024 9:6
  12. Pairwise temporal interactions between entities can be represented as temporal networks, which code the propagation of processes such as epidemic spreading or information cascades, evolving on top of them. The...

    Authors: Rémi Vaudaine, Pierre Borgnat, Paulo Gonçalves, Rémi Gribonval and Márton Karsai
    Citation: Applied Network Science 2024 9:3
  13. A growing number of social media studies in the U.S. rely on the characterization of the opinion of individual users, for example, as Democrat- or Republican-leaning, or in continuous scales ranging from most ...

    Authors: Pedro Ramaciotti, Duncan Cassells, Zografoula Vagena, Jean-Philippe Cointet and Michael Bailey
    Citation: Applied Network Science 2024 9:2
  14. Random graphs are statistical models that have many applications, ranging from neuroscience to social network analysis. Of particular interest in some applications is the problem of testing two random graphs f...

    Authors: Anton A. Alyakin, Joshua Agterberg, Hayden S. Helm and Carey E. Priebe
    Citation: Applied Network Science 2024 9:1
  15. The growing data size poses challenges for storage and computational processing time in semi-supervised models, making their practical application difficult; researchers have explored the use of reduced networ...

    Authors: Paulo Eduardo Althoff, Alan Demétrius Baria Valejo and Thiago de Paulo Faleiros
    Citation: Applied Network Science 2023 8:82
  16. In recent years, social networks have become popular among Internet users, and various studies have been performed on the analysis of users’ behavior in social networks. Information diffusion analysis is one o...

    Authors: Yoosof Mashayekhi, Alireza Rezvanian and S. Mehdi Vahidipour
    Citation: Applied Network Science 2023 8:81
  17. The degree of polarization in many societies has become a pressing concern in media studies. Typically, it is argued that the internet and social media have created more media producers than ever before, allow...

    Authors: Nicholas Rabb, Lenore Cowen and Jan P. de Ruiter
    Citation: Applied Network Science 2023 8:78
  18. Random graphs are increasingly becoming objects of interest for modeling networks in a wide range of applications. Latent position random graph models posit that each node is associated with a latent position ...

    Authors: Aranyak Acharyya, Joshua Agterberg, Michael W. Trosset, Youngser Park and Carey E. Priebe
    Citation: Applied Network Science 2023 8:75
  19. The fundamental objective of the Lightning Network is to establish a decentralized platform for scaling the Bitcoin network and facilitating high-throughput micropayments. However, this network has gradually d...

    Authors: Mohammad Saleh Mahdizadeh, Behnam Bahrak and Mohammad Sayad Haghighi
    Citation: Applied Network Science 2023 8:73
  20. In their previous work, the authors considered the concept of random spanning tree intersection of complex networks (London and Pluhár, in: Cherifi, Mantegna, Rocha, Cherifi, Micciche (eds) Complex networks an...

    Authors: András London and András Pluhár
    Citation: Applied Network Science 2023 8:72
  21. Industries today are tightly interconnected, necessitating a systematic perspective in understanding the complexity of relations. Employing network science, the literature constructs dense production networks ...

    Authors: Eszter Molnár and Dénes Csala
    Citation: Applied Network Science 2023 8:71
  22. Network science offers valuable tools for planning and managing public transportation systems, with measures such as network centralities proposed as complementary predictors of ridership. This paper explores ...

    Authors: Athanasios Kopsidas, Aristeides Douvaras and Konstantinos Kepaptsoglou
    Citation: Applied Network Science 2023 8:69
  23. Apart from nodes and links, for many networked systems, we have access to data on paths, i.e., collections of temporally ordered variable-length node sequences that are constrained by the system’s topology. Un...

    Authors: Christoph Gote, Giona Casiraghi, Frank Schweitzer and Ingo Scholtes
    Citation: Applied Network Science 2023 8:68
  24. Social media platforms offer cost-effective digital marketing opportunities to monitor the market, create user communities, and spread positive opinions. They allow companies with fewer budgets, like startups,...

    Authors: Ana Rita Peixoto, Ana de Almeida, Nuno António, Fernando Batista, Ricardo Ribeiro and Elsa Cardoso
    Citation: Applied Network Science 2023 8:66
  25. During the April 2023 Brazil–China summit, the creation of a trade currency supported by the BRICS countries was proposed. Using the United Nations Comtrade database, providing the frame of the world trade net...

    Authors: Célestin Coquidé, José Lages and Dima L. Shepelyansky
    Citation: Applied Network Science 2023 8:65
  26. Dynamic (temporal) graphs are a convenient mathematical abstraction for many practical complex systems including social contacts, business transactions, and computer communications. Community discovery is an e...

    Authors: Naw Safrin Sattar, Aydin Buluc, Khaled Z. Ibrahim and Shaikh Arifuzzaman
    Citation: Applied Network Science 2023 8:64
  27. We investigate the development of cooperative behavior in networks over time. In our controlled laboratory experiment, subjects can cooperate by sending costly messages that contain valuable information for th...

    Authors: Gorm Gruner Jensen, Martin Benedikt Busch, Marco Piovesan and Jan O. Haerter
    Citation: Applied Network Science 2023 8:62
  28. Crypto assets have lately become the chief interest of investors around the world. The excitement around, along with the promise of the nascent technology led to enormous speculation by impulsive investors. De...

    Authors: Hendra Setiawan and Moinak Bhaduri
    Citation: Applied Network Science 2023 8:61

Annual journal metrics

  • 2022 Citation Impact
    2.2 - 2-year Impact Factor
    1.117 - SNIP (Source Normalized Impact per Paper)
    0.603 - SJR (SCImago Journal Rank)

    2023 Speed
    12 days submission to first editorial decision for all manuscripts (Median)
    119 days submission to accept (Median)

    2023 Usage 
    581,134 downloads
    776 Altmetric mentions

Abstract and indexing coverage
CNKI
dblp
DOAJ
EBSCO Academic Search
EBSCO Discovery Service
EBSCO STM Source
EBSCO TOC Premier 
ESCI
Google Scholar
Inspec
OCLC
ProQuest - Summon
Scopus

Institutional membership

Visit the membership page to check if your institution is a member and learn how you could save on article-processing charges (APCs).

Funding your APC

​​​​​​​Open access funding and policy support by SpringerOpen​​

​​​​We offer a free open access support service to make it easier for you to discover and apply for article-processing charge (APC) funding. Learn more here