What is network science?

  title={What is network science?},
  author={Ulrik Brandes and Garry Robins and Ann McCranie and Stanley Wasserman},
  journal={Network Science},
  pages={1 - 15}
Abstract This is the beginning of Network Science. The journal has been created because network science is exploding. As is typical for a field in formation, the discussions about its scope, contents, and foundations are intense. On these first few pages of the first issue of our new journal, we would like to share our own vision of the emerging science of networks. 

Taming vagueness: the philosophy of network science

In the last 20 years network science has become an independent scientific field. We argue that by building network models network scientists are able to tame the vagueness of propositions about

Engineering Emergence: A Survey on Control in the World of Complex Networks

The aim of this paper was to survey the interest in control related to complex networks research over time since 2000 and to identify recent trends that may generate new research directions.

On 25 Years of CIAA Through the Lens of Data Science

The structure of the co-authorship graph for the Conference on Implementation and Application of Automata (CIAA) is investigated with techniques from network sciences to answer a broad variety of questions on collaboration patterns.

Bridging the gap between graphs and networks

The need for further cross-pollination between fields – bridging the gap between graphs and networks – is discussed and promises and challenges accompanying the convergence of formal graph theory and data-inspired network science are discussed.

Network science, web science, and internet science

Exploring three interdisciplinary areas and the extent to which they overlap. Are they all part of the same larger domain?

Inferring Network Structure from Cascades

This paper offers three topological methods to infer the structure of any directed network given a set of cascade arrival times, for a very general class of models where the activation probability of a node is a generic function of its degree and the number of its active neighbors.

Two Decades of Network Science: as seen through the co-authorship network of network scientists

  • Roland MolontayMarcell Nagy
  • Computer Science
    2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
  • 2019
This paper constructs the co-authorship network of 52,406 network scientists and analyzes its topology and dynamics, and identifies the most central authors, the largest communities, and compares the properties of the network to scientometric indicators.

A contrasting look at network formation models and their application to the minimum spanning tree

  • D. B. McPhersonD. Alderson
  • Computer Science
    2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)
  • 2011
This work focuses primarily on problems related to minimum spanning trees and considers the cost of selfish behavior in network formation, and explores differences between local, decentralized methods for network formation and their global, centralized counterparts.

Connectors and Influencers

A new experimental platform to study network formation that integrates a network visualization tool with interactive asynchronous choices in continuous time and test a model of linking formation and efforts predicts that equilibrium networks have a ‘star’ like structure and that individual efforts are highly specialized.

Bibliometric Networks

This text is based on a translation of a chapter in a handbook about network analysis (published in German) where we tried to make beginners fa-miliar with some basic notions and recent developments


Noshir Contractor, editor Jor coml111lllicatioll, engilleerillg, alld managemellt

  • Noshir Contractor, editor Jor coml111lllicatioll, engilleerillg, alld managemellt