EAI Endorsed Transactions on Complex Systems

Temporarily closed Open Access journal on complex networks, complex social and economic systems, and more, with no publishing fees

Editor(s)-in-Chief: Xiao Gaoxi

Aims & Scope

Interdisciplinary studies on complex systems have gained extensive research interests. Significant impacts have been made by such studies in a wide range of different areas including physics, biology, economics, social sciences, computer sciences, electrical, mechanical and civil engineering, etc. In the long-term future, the way we understand and cope with the world may all be revolutionized.

This journal aims to reflect the interdisciplinary features of the exciting studies on complex systems. The scope include, but are not limited to, complex networks, complex social and economic systems, complex biological systems, complex engineering systems, complex system methods, and general complexity sciences, etc.

On a peer-review basis, we publish full papers, letters, surveys, as well as essays. We welcome quick work-in-progress reports on preliminary research results with novelty. We also welcome comprehensive reports on finished projects. Innovative ideas and more insights into complex systems and their applications are what we are looking for. You are cordially welcome to join us to make this journal a success.

The scope of the journal includes, but is not limited to:

Complex networks
Complex social systems
Complex economic systems
Complex biological systems
Complex engineering systems
Complex system modelling
Complex system simulation
Complex system theories
Complex systems of complex systems
Complexity in arts and music
General complexity sciences
New frontiers of complex systems

Recently Published
Most Popular

Power-law of Aggregate-size Spectra in Natural Systems
Appears in:
comsys 13(2): e2

Authors:
Matteo Convertino, Filippo Simini, Filippo Catani, Igor Linkov, Gregory A. Kiker

Published:
15th May 2013

Abstract:
Patterns of animate and inanimate systems show remarkable similarities in their aggregation. One similarity is the double-Pareto distribution of the aggregate-size of system components. Different models have been developed to predict aggregates of system components. However, not many models have …Patterns of animate and inanimate systems show remarkable similarities in their aggregation. One similarity is the
double-Pareto distribution of the aggregate-size of system components. Different models have been developed to predict
aggregates of system components. However, not many models have been developed to describe probabilistically the
aggregate-size distribution of any system regardless of the intrinsic and extrinsic drivers of the aggregation process. Here
we consider natural animate systems, from one of the greatest mammals - the African elephant (Loxodonta africana)
- to the Escherichia coli bacteria, and natural inanimate systems in river basins. Considering aggregates as islands and
their perimeter as a curve mirroring the sculpting network of the system, the probability of exceedence of the drainage
area, and the Hack’s law are shown to be the the Korˇcak’s law and the perimeter-area relationship for river basins. The
perimeter-area relationship, and the probability of exceedence of the aggregate-size provide a meaningful estimate of the
same fractal dimension. Systems aggregate because of the influence exerted by a physical or processes network within
the system domain. The aggregate-size distribution is accurately derived using the null-method of box-counting on the
occurrences of system components. The importance of the aggregate-size spectrum relies on its ability to reveal system
form, function, and dynamics also as a function of other coupled systems. Variations of the fractal dimension and of the
aggregate-size distribution are related to changes of systems that are meaningful to monitor because potentially critical
for these systems.
more »
Self organized hotspots and social tomography
Appears in:
comsys 13(2): e1

Authors:
Jianbo Gao, Qian Han, Xiaoliang Lu, Lei Yang, Jing Hu

Published:
15th May 2013

Abstract:
A social network often has numerous interesting attributes. When an attribute is quantified, a social tomography would arise from the underlying social network. One of the most interesting attributes is crime hotspots, whose existence has been strongly supported by observations that serious crime…A social network often has numerous interesting attributes. When an attribute is quantified, a social tomography would
arise from the underlying social network. One of the most interesting attributes is crime hotspots, whose existence has
been strongly supported by observations that serious crimes ranging from residential burglary to homicide are strongly
patterned in time and space, and by mathematical modeling. So far, however, the structures of hotspots, including their
size distributions, have not been adequately studied. Here, we focus on a special type of hotspots, the sex offender
clusters, in the United States, and show that their size distribution, where size is defined as the ratio between sex offender
population and total population in a 5-digit zip code area, follows a power-law distribution. In contrast, such local total
population, both general and sex offenders, do not quite follow power-laws. A heavy-tailed power-law distribution is
fundamentally different from a thin-tailed distribution such as a Poisson distribution, and can be used as an objective
criterion for defining sex offender clusters. More fundamentally, a power-law is a defining property of self-similarity or
fractal behavior. Therefore, our finding indicates that sex offender clusters, size-wise, self-organize into a fractal, due to
interplay of economic conditions of offenders, policies and public perceptions.
more »
Molecular diversity classification via information theory: A review
Appears in:
comsys 12(1): e4

Authors:
F. Torrens, G. Castellano

Published:
22nd Nov 2012

Abstract:
Complexity definitions introduce context dependence. Molecular diversity is reviewed focusing on information theory. Compound set is viewed as static microstate collection registering information about environment. Method tends to oversample remote feature space and produce unbalanced designs. Re…Complexity definitions introduce context dependence. Molecular diversity is reviewed focusing on information theory.
Compound set is viewed as static microstate collection registering information about environment. Method tends to
oversample remote feature space and produce unbalanced designs. Results show limitation and provide rationale for
failure. Affinity includes traverse ease via chreodes to effector. Lag results because of time/concentration needed for
drug to displace transmitter molecules from chreodes. Molecules unfit for system are excluded from effector not fitting
chreode patterns. Enzyme catalytic products leave active site at faster rate via chreodes minimizing delay of diffusioncontrolled
rate limitation. Interdisciplinary research in systems biology promises insights into life, evolution and disease
organizational principles. Complex disorders represent umbrella terms for collections of conditions caused by rare,
recent mutations in any of large number of genes.
more »
Non Local Effects in the Sznajd Model: Stochastic resonance aspects
Appears in:
comsys 12(1): e3

Authors:
M. Cecilia Gimenez, Jorge A. Revelli, Horacio S. Wio

Published:
22nd Nov 2012

Abstract:
The Sznajd model is basically an Ising spin model, widely used in sociophysics studies as a simple mechanism for predicting decision-making in a closed community through interactions among the nearest neighbors. In the present work we aim to deepen our understanding of this model by analyzing not…The Sznajd model is basically an Ising spin model, widely used in sociophysics studies as a simple mechanism
for predicting decision-making in a closed community through interactions among the nearest neighbors.
In the present work we aim to deepen our understanding of this model by analyzing not only local or first
neighbor interactions but also long range ones. Besides, we consider the system as being subjected to two
signals, a stochastically social internal one, mimicking “social temperature”, and an external periodic signal
playing the role of the effects of fashion or propaganda. Under these conditions, we show the occurrence of a
double stochastic resonance phenomenon when depicting signal-to-noise ratio as a function of both, the social
temperature and the non local interaction parameters.
more »
On the Degree Distribution of Faulty Peer-to-Peer Overlay Networks
Appears in:
comsys 12(1): e2

Author:
Stefano Ferretti

Published:
22nd Nov 2012

Abstract:
This paper presents an analytical approach to model fault-tolerance in P2P overlays, represented as complex networks. We define a distributed protocol for managing the overlay and reacting to node faults; peers try to maintain a desired degree and make (accept) requests for creating links only if…This paper presents an analytical approach to model fault-tolerance in P2P overlays, represented as complex
networks. We define a distributed protocol for managing the overlay and reacting to node faults; peers try to
maintain a desired degree and make (accept) requests for creating links only if their actual degree is lower than
their desired degree. Based on the protocol, evolution equations are defined and manipulated by resorting to
generating functions. Obtained outcomes provide insights on the nodes’ degree probability distribution. We
study different networks, characterized by three specific desired degree distributions, i.e. fixed desired degree,
random graphs and power law. All these networks are assessed via the analytical tool and simulation as well.
Results show that based on the provided mathematical model, it is possible to properly tune the average
attachment rate at peers so as they are enabled to maintain their own desired degree.
more »
Welcome message from the Editor-in-Chief
Appears in:
comsys 12(1): e1

Author:
Xiao Gaoxi

Published:
22nd Nov 2012

Abstract:
more »

On the Degree Distribution of Faulty Peer-to-Peer Overlay Networks
Appears in:
comsys 12(1): e2

Author:
Stefano Ferretti

Downloads:
722

Abstract:
This paper presents an analytical approach to model fault-tolerance in P2P overlays, represented as complex networks. We define a distributed protocol for managing the overlay and reacting to node faults; peers try to maintain a desired degree and make (accept) requests for creating links only if…This paper presents an analytical approach to model fault-tolerance in P2P overlays, represented as complex
networks. We define a distributed protocol for managing the overlay and reacting to node faults; peers try to
maintain a desired degree and make (accept) requests for creating links only if their actual degree is lower than
their desired degree. Based on the protocol, evolution equations are defined and manipulated by resorting to
generating functions. Obtained outcomes provide insights on the nodes’ degree probability distribution. We
study different networks, characterized by three specific desired degree distributions, i.e. fixed desired degree,
random graphs and power law. All these networks are assessed via the analytical tool and simulation as well.
Results show that based on the provided mathematical model, it is possible to properly tune the average
attachment rate at peers so as they are enabled to maintain their own desired degree.
more »
Molecular diversity classification via information theory: A review
Appears in:
comsys 12(1): e4

Authors:
F. Torrens, G. Castellano

Downloads:
677

Abstract:
Complexity definitions introduce context dependence. Molecular diversity is reviewed focusing on information theory. Compound set is viewed as static microstate collection registering information about environment. Method tends to oversample remote feature space and produce unbalanced designs. Re…Complexity definitions introduce context dependence. Molecular diversity is reviewed focusing on information theory.
Compound set is viewed as static microstate collection registering information about environment. Method tends to
oversample remote feature space and produce unbalanced designs. Results show limitation and provide rationale for
failure. Affinity includes traverse ease via chreodes to effector. Lag results because of time/concentration needed for
drug to displace transmitter molecules from chreodes. Molecules unfit for system are excluded from effector not fitting
chreode patterns. Enzyme catalytic products leave active site at faster rate via chreodes minimizing delay of diffusioncontrolled
rate limitation. Interdisciplinary research in systems biology promises insights into life, evolution and disease
organizational principles. Complex disorders represent umbrella terms for collections of conditions caused by rare,
recent mutations in any of large number of genes.
more »
Non Local Effects in the Sznajd Model: Stochastic resonance aspects
Appears in:
comsys 12(1): e3

Authors:
M. Cecilia Gimenez, Jorge A. Revelli, Horacio S. Wio

Downloads:
669

Abstract:
The Sznajd model is basically an Ising spin model, widely used in sociophysics studies as a simple mechanism for predicting decision-making in a closed community through interactions among the nearest neighbors. In the present work we aim to deepen our understanding of this model by analyzing not…The Sznajd model is basically an Ising spin model, widely used in sociophysics studies as a simple mechanism
for predicting decision-making in a closed community through interactions among the nearest neighbors.
In the present work we aim to deepen our understanding of this model by analyzing not only local or first
neighbor interactions but also long range ones. Besides, we consider the system as being subjected to two
signals, a stochastically social internal one, mimicking “social temperature”, and an external periodic signal
playing the role of the effects of fashion or propaganda. Under these conditions, we show the occurrence of a
double stochastic resonance phenomenon when depicting signal-to-noise ratio as a function of both, the social
temperature and the non local interaction parameters.
more »
Self organized hotspots and social tomography
Appears in:
comsys 13(2): e1

Authors:
Jianbo Gao, Qian Han, Xiaoliang Lu, Lei Yang, Jing Hu

Downloads:
654

Abstract:
A social network often has numerous interesting attributes. When an attribute is quantified, a social tomography would arise from the underlying social network. One of the most interesting attributes is crime hotspots, whose existence has been strongly supported by observations that serious crime…A social network often has numerous interesting attributes. When an attribute is quantified, a social tomography would
arise from the underlying social network. One of the most interesting attributes is crime hotspots, whose existence has
been strongly supported by observations that serious crimes ranging from residential burglary to homicide are strongly
patterned in time and space, and by mathematical modeling. So far, however, the structures of hotspots, including their
size distributions, have not been adequately studied. Here, we focus on a special type of hotspots, the sex offender
clusters, in the United States, and show that their size distribution, where size is defined as the ratio between sex offender
population and total population in a 5-digit zip code area, follows a power-law distribution. In contrast, such local total
population, both general and sex offenders, do not quite follow power-laws. A heavy-tailed power-law distribution is
fundamentally different from a thin-tailed distribution such as a Poisson distribution, and can be used as an objective
criterion for defining sex offender clusters. More fundamentally, a power-law is a defining property of self-similarity or
fractal behavior. Therefore, our finding indicates that sex offender clusters, size-wise, self-organize into a fractal, due to
interplay of economic conditions of offenders, policies and public perceptions.
more »
Power-law of Aggregate-size Spectra in Natural Systems
Appears in:
comsys 13(2): e2

Authors:
Matteo Convertino, Filippo Simini, Filippo Catani, Igor Linkov, Gregory A. Kiker

Downloads:
645

Abstract:
Patterns of animate and inanimate systems show remarkable similarities in their aggregation. One similarity is the double-Pareto distribution of the aggregate-size of system components. Different models have been developed to predict aggregates of system components. However, not many models have …Patterns of animate and inanimate systems show remarkable similarities in their aggregation. One similarity is the
double-Pareto distribution of the aggregate-size of system components. Different models have been developed to predict
aggregates of system components. However, not many models have been developed to describe probabilistically the
aggregate-size distribution of any system regardless of the intrinsic and extrinsic drivers of the aggregation process. Here
we consider natural animate systems, from one of the greatest mammals - the African elephant (Loxodonta africana)
- to the Escherichia coli bacteria, and natural inanimate systems in river basins. Considering aggregates as islands and
their perimeter as a curve mirroring the sculpting network of the system, the probability of exceedence of the drainage
area, and the Hack’s law are shown to be the the Korˇcak’s law and the perimeter-area relationship for river basins. The
perimeter-area relationship, and the probability of exceedence of the aggregate-size provide a meaningful estimate of the
same fractal dimension. Systems aggregate because of the influence exerted by a physical or processes network within
the system domain. The aggregate-size distribution is accurately derived using the null-method of box-counting on the
occurrences of system components. The importance of the aggregate-size spectrum relies on its ability to reveal system
form, function, and dynamics also as a function of other coupled systems. Variations of the fractal dimension and of the
aggregate-size distribution are related to changes of systems that are meaningful to monitor because potentially critical
for these systems.
more »
Welcome message from the Editor-in-Chief
Appears in:
comsys 12(1): e1

Author:
Xiao Gaoxi

Downloads:
471

Abstract:
more »

Publisher: ICST
ISSN: 2032-9229
Number of Volumes: 1

Last Published: 2013-05-15