Email networks and the spread of computer viruses.
By Mark Newman, Stephanie Forrest, Justin Balthrop. Physical review. E, Statistical, nonlinear, and soft matter physics, 2002
807 citations recorded by the source corpus.
Subfields: Communication, Statistical and Nonlinear Physics, Transportation
View Paper: https://www.semanticscholar.org/paper/7fba8ecfd15d0ff0d1184c3c4d56a418c5108a91
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Communication
In Statistical and Nonlinear Physics
- Santo Fortunato
- Jure Leskovec
- Mark Newman
- Aaron Clauset
- Claudio Castellano
- Jon M. Kleinberg
- M. A. Porter
- Francisco Aparecido Rodrigues
In Transportation
- Gregory Kossinets
- Vittorio Loreto
- Mark Newman
- Mirco Musolesi
- Peter Nijkamp
- Santo Fortunato
- Claudio Castellano
- Manlio De Domenico
Citations in the corpus
- Accessibility of Cities in the Digital Economy (2004, background): “umber of sightings of 591 species of birds in the North American Breeding Bird Survey 2003. (b) The number of addresses in the email address books of 16881 users of a large university computer system [34]. (c) The size in acres of all wildfires occurring on US federal land between 1986 and 1996 (Nati”
- Information diffusion through blogspace (2004, background): “[27] have also empirically examined the simulated spread of email viruses by examining the network defined by the email address books of a user”
- Power-Law Distributions in Empirical Data (2007, background): “…(Hackett, 1967). m) Human populations of US cities in the 2000 US Census. n) Sizes of email address books of computer users at a large university (Newman et al., 2002). o) The size in acres of wildfires occurring on US federal land between 1986 and 1996 (Newman, 2005). p) Peak gamma-ray…”
- Epidemic spreading in real networks: an eigenvalue viewpoint (2003, neutral): “We summarize in section 6.”
- Effects of missing data in social networks (2003, background): “This approach has not been feasible for large networks until recently, when data on large-scale social interactions become readily available from the records of email communication or virtual communities (Ebel et al., 2002; Guimera et al., 2002; Holme et al., 2002; Newman et al., 2002).”
- Statistical physics of social dynamics (2007, background): “…(Liljeros et al., 2001) and the ongoing social relationships (Holme, 2003), from email exchanges networks (Ebel et al., 2002; Eckmann et al., 2004; Newman et al., 2002) to the dating community network (Holme et al., 2004) and to mobile communication networks (Onnela et al., 2007; Palla et al.,…”
- Power laws, Pareto distributions and Zipf's law (2005, background): “email address books of 16881 users of a large university com- puter system [ 33 ].”
- Impact of human activity patterns on the dynamics of information diffusion. (2007, neutral): “An important question is whether the observed demographic stochasticity in the number of recommendations is directly related to the heterogeneity of social contacts [21].”
- Extremal Properties of Random Structures (2003, neutral): “idemic propagation on scale free networks found that the threshold for an epidemic is zero, implying that a finite fraction of the graph becomes infected for arbitrarily low transmission probabilities [11, 39, 34]. The presence of additional network structure was found to further influence the spread ”
- Why social networks are different from other types of networks. (2003, background): “We give four examples: the widely studied network of film-actor collaborations [5, 7], collaboration networks of mathematicians [25, 26] and company directors [27], and an email network [28].”
- The Anatomy of a Scientific Rumor (2013, background): “[26] Newman, M.”
- A Behavior-Based Approach to Securing Email Systems (2003, background): “This notion is discussed in a recent paper [15] that considers essentially propagation rates through a network defined by address book entries and the “social network links” defined therein among members of a network community, and subsequent strategies for managing and protecting address book data ”
- Structural Properties of the Caenorhabditis elegans Neuronal Network (2009, neutral): “TABLE I DEGREESEQUENCECORRELATION COEFFICIENTS gap/in gap/out in/out email [70] correlation coefficientρ 0.”
- Statistical mechanics of networks. (2004, background): “Behavior of this kind is seen, for example, in the world wide web, email networks, and neural and metabolic networks [33, 34, 35].”