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Pairwise causal discovery in biochemical networks: A survey on directionality inference within complex networks from stationary observations. [PDF]

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Leibovich N, Cuperlovic-Culf M.
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On the asymptotics of degree distributions

2015 54th IEEE Conference on Decision and Control (CDC), 2015
In random graph models, the degree distribution of individual nodes should be contrasted against the degree distribution of the graph, i.e., the usual fractions of nodes with given degrees. We introduce a general framework to discuss conditions under which these two degree distributions coincide asymptotically in large random networks.
Siddharth Pal, Armand M. Makowski
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Distribution of the Node Degree in MANETs

2010 Fourth International Conference on Next Generation Mobile Applications, Services and Technologies, 2010
This paper derives analytical expressions for the probability of link availability and the node degree distribution in mobile ad hoc networks. The expressions (1) account for system parameters such as the node density, node transmission range, and the radio channel fading; and (2) hold for an arbitrary mobility model with initially uniformly ...
Lifang Guo, Khaled Harfoush, Huimin Xu
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The degree of nonholonomy in distributed computations

53rd IEEE Conference on Decision and Control, 2014
A network of locally interacting agents can be thought of as performing a distributed computation. But not all computations can be faithfully distributed. This paper discusses which global linear transformations can be computed in finite time using local weighting rules, i.e., rules which rely solely on information from adjacent nodes in a network ...
Zak Costello, Magnus Egerstedt
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On the degree distribution of opportunistic networks

Proceedings of the Second International Workshop on Mobile Opportunistic Networking, 2010
This paper presents an analytical approach to model opportunistic networks, with mobile devices that may concurrently employ multiple networks. By modeling these systems as complex networks, it is possible to obtain information on the degree probability distribution of nodes.
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Relationship between degree–rank distributions and degree distributions of complex networks

Physica A: Statistical Mechanics and its Applications, 2007
Both the degree distribution and the degree–rank distribution, which is a relationship function between the degree and the rank of a vertex in the degree sequence obtained from sorting all vertices in decreasing order of degree, are important statistical properties to characterize complex networks.
Jun Wu, Yuejin Tan, Hongzhong Deng, Dazhi Zhu, Yan Chi   +4 more
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Distributed Estimation of the Degree Distribution in Wireless Sensor Networks

2016 IEEE Global Communications Conference (GLOBECOM), 2016
A distributed consensus algorithm for estimating the degree distribution of a graph is proposed. The proposed algorithm is based on average consensus and in-network empirical mass function estimation. It is fully distributed in the sense that each node in the network only needs to know its own degree, and nodes do not need to be labeled.
Sai Zhang 0002, Jongmin Lee 0003, Cihan Tepedelenlioglu, Andreas Spanias   +3 more
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Local degree distributions: Examples and counterexamples

Periodica Mathematica Hungarica, 2011
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Two Design Schemes for LT Codes Degree Distribution by Combining Degree Distribution

2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN), 2019
With the rapid development of communication technology and the Internet, digital fountain codes have become a hot topic in many fields. Degree distribution is a key factor affecting the performance of fountain codes. Traditional single degree distribution, such as Ideal Soliton Distribution, Robust Soliton Distribution, and Binary Exponential ...
Cong Liu, Wei Fei, Sheng Hu
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