Complex Networks ...
Follow
3.0K views | +1 today
 
Rescooped by Alejandro J. Alvarez S. from Social Foraging
onto Complex Networks Everywhere
Scoop.it!

Can six billion cells phones collecting data on how people move lead to better human health?

Can six billion cells phones collecting data on how people move lead to better human health? | Complex Networks Everywhere | Scoop.it

Collecting and analyzing information from simple cell phones can provide surprising insights into how people move about and behave—and even help us understand the spread of diseases.

 

At a computer in her office at the Harvard School of Public Health in Boston, epidemiologist Caroline Buckee points to a dot on a map of Kenya’s western highlands, representing one of the nation’s thousands of cell-phone towers. In the fight against malaria, Buckee explains, the data transmitted from this tower near the town of Kericho has been epidemiological gold.

 

When she and her colleagues studied the data, she found that people making calls or sending text messages originating at the Kericho tower were making 16 times more trips away from the area than the regional average. What’s more, they were three times more likely to visit a region northeast of Lake Victoria that records from the health ministry identified as a malaria hot spot. The tower’s signal radius thus covered a significant waypoint for transmission of malaria, which can jump from human to human via mosquitoes. Satellite images revealed the likely culprit: a busy tea plantation that was probably full of migrant workers. The implication was clear, Buckee says. “There will be a ton of infected [people] there.”


Via Ashish Umre
more...

From around the web

Complex Networks Everywhere
Your new post is loading...
Your new post is loading...
Rescooped by Alejandro J. Alvarez S. from Papers
Scoop.it!

Duality between Temporal Networks and Signals: Extraction of the Temporal Network Structures

We develop a framework to track the structure of temporal networks with a signal processing approach. The method is based on the duality between networks and signals using a multidimensional scaling technique. This enables a study of the network structure using frequency patterns of the corresponding signals. An extension is proposed for temporal networks, thereby enabling a tracking of the network structure over time. A method to automatically extract the most significant frequency patterns and their activation coefficients over time is then introduced, using nonnegative matrix factorization of the temporal spectra. The framework, inspired by audio decomposition, allows transforming back these frequency patterns into networks, to highlight the evolution of the underlying structure of the network over time. The effectiveness of the method is first evidenced on a toy example, prior being used to study a temporal network of face-to-face contacts. The extraction of sub-networks highlights significant structures decomposed on time intervals.

 

Duality between Temporal Networks and Signals: Extraction of the Temporal Network Structures
Ronan Hamon, Pierre Borgnat, Patrick Flandrin, Céline Robardet

http://arxiv.org/abs/1505.03044


Via Complexity Digest
more...
No comment yet.
Rescooped by Alejandro J. Alvarez S. from Social Network Analysis #sna
Scoop.it!

Discovering the relationship of the G20 members using Data Mining

Discovering the relationship of the G20 members using Data Mining | Complex Networks Everywhere | Scoop.it
It takes just a little talk with me to know that I'm a fan of the financial market and many subjects related to economics.  

Via ukituki
more...
ukituki's curator insight, February 18, 6:00 AM

Given all these data, we conclude that the present relations in economic news actually reflect the data from our commercial relations. Maybe it was not different, but it is a way to show how everything is connected and in fact, given that markets are efficient (there is much discussion here and I tend to disagree with the theory), we have that trade relations will be reflected in some way in the behavior of market players and consequently,will be reflected upon pricing of financial assets.

Rescooped by Alejandro J. Alvarez S. from Social Network Analysis #sna
Scoop.it!

Serious network analysis using Hadoop and Neo4j - Neo4j Graph Database

Serious network analysis using Hadoop and Neo4j - Neo4j Graph Database | Complex Networks Everywhere | Scoop.it

Friso van Vollenhoven of Xebia uses a combination of Hadoop, Neo4j and browser based visualization and interactive tools to look at graphs, search for known interesting patterns in big graphs and do ad hoc querying against graphs.


Via ukituki
more...
ukituki's curator insight, February 24, 3:07 PM

In this video, he demonstrates the workflow of using Hadoop to create a graph out of data and bulk load the result into Neo4j for efficient ad hoc querying and visualization, potentially partitioning the graph in Hadoop, to create partitions of manageable volume for the database

Rescooped by Alejandro J. Alvarez S. from Social Network Analysis #sna
Scoop.it!

Knowledge Graphs: The New Type of Document for the 21st Century

Knowledge Graphs: The New Type of Document for the 21st Century | Complex Networks Everywhere | Scoop.it

Text documents and Excel tables are essentially story-telling devices. They are very useful to communicate information in a logical and chronologically coherent way. However, as the digital networks proliferate, complexity of the stories that need to be told also increases. That’s why it makes sense to embrace networks as the new useful story-telling device


Via ukituki
more...
No comment yet.
Rescooped by Alejandro J. Alvarez S. from Social Network Analysis #sna
Scoop.it!

Introducing Pound: Process for Optimizing and Understanding Network Diffusion

Introducing Pound: Process for Optimizing and Understanding Network Diffusion | Complex Networks Everywhere | Scoop.it
Seeing the forest from the trees.

Via ukituki
more...
No comment yet.
Rescooped by Alejandro J. Alvarez S. from Social Network Analysis #sna
Scoop.it!

The Rise of Twitter in the Political Campaign: Searching for Intermedia Agenda-Setting Effects in the Presidential Primary

The Rise of Twitter in the Political Campaign: Searching for Intermedia Agenda-Setting Effects in the Presidential Primary | Complex Networks Everywhere | Scoop.it

Via ukituki
more...
ukituki's curator insight, May 11, 6:50 PM

Questions exist over the extent to which social media content may bypass, follow, or attract the attention of traditional media. This study sheds light on such dynamics by examining intermedia agenda-setting effects among the Twitter feeds of the 2012 presidential primary candidates, Twitter feeds of the Republican and Democratic parties, and articles published in the nation's top newspapers. Daily issue frequencies within media were analyzed using time series analysis. A symbiotic relationship was found between agendas in Twitter posts and traditional news, with varying levels of intensity and differential time lags by issue. While traditional media follow candidates on certain topics, on others they are able to predict the political agenda on Twitter.

Rescooped by Alejandro J. Alvarez S. from CxConferences
Scoop.it!

Workshop: Living systems, from interaction patterns to critical behavior

Workshop: Living systems, from interaction patterns to critical behavior | Complex Networks Everywhere | Scoop.it

VENEZIA, San Servolo Island, 16-19 September 2015. 

The workshop will present a wide-range of interdisciplinary problems using creative approaches grounded in statistical physics. 

In particular there will be three main sections: Bio (micro-scale), Bio2Eco (meso-scale) and Eco (macro-scale). In each section it will be given a series of lectures and seminars. 

 

http://www.pd.infn.it/~maritan/SanServolo/index.html

 

*** DEADLINE FOR APPLICATION: June 15, 2015 ****

 

Recent availability of large volumes of ecological and biological data spanning a wide range of scales, made it evident that, despite their diversity, living systems are characterized by patterns/regularities repeated from microscopic to global scales. This workshop aims to explore how these recurrent phenomena emerge as the result of concerted interactions among their constituent elements (e.g. species, or genes), using a combination of approaches inspired by statistical mechanics, network analysis and the theory of complex systems. The aim of the workshop is to introduce students and young researchers with strong background in quantitative sciences to methods and ideas used to describe such complex systems. The range of topics covered at the workshop is very broad, ranging from genomics to ecology, with the ultimate goal of identifying similarities and differences of complex biological systems operating at different scales.

 

Fee* 150 euro. (*) We will grants 3 fee waivers to support the attendance of PhD students and Junior Post Doctoral researchers (no more than two years from their PhD completion). Prospective participants who are eligible should accompany send an email to the Organizing Committee (LIPh.unipd@gmail.com) requiring the fee waiver, providing the CV and a motivation letter. The acceptance will be notified together with the admission to the school.

 

LECTURERS 

 Sergey Maslov

Kim Sneppen

Antonio Celani 

Amos Maritan

Stefano Allesina

Joshua Weitz

 

Invited Speakers

 Andrea Rinaldo

Jayanth Banavar

Henrik Jensen

Flavio Seno

Paolo De los Rios

Achille Giacometti

Guido Tiana

Marco Cosentino Lagomarsino

Sandro Azaele

 

PROGRAM

For details see: http://www.pd.infn.it/~maritan/SanServolo/index.html

 

On September 19 afternoon, we will organise a guided Tour in Venice that will conclude with the Social Dinner.

 

For more information and application:

e-mail:  liph.unipd@gmail.com

Twitter:   @Liph_lab


Via Complexity Digest
more...
No comment yet.
Rescooped by Alejandro J. Alvarez S. from CxConferences
Scoop.it!

Recognizing the relevance of change: Analysis and control of time-evolving networks in epidemiology and evolutionary medicine

The aim of the workshop is to bring together applied mathematicians that drive the development of theory for the analysis and control of time-evolving networks with scientists that encounter time-evolving networks in applications like epidemiology and evolution.

 

“Recognizing the relevance of change: Analysis and control of
time-evolving networks in epidemiology and evolutionary medicine”

will be held in Berlin, Germany 20-22. July 2015.

http://www.cecam.org/workshop-1215.html


Via Complexity Digest
more...
No comment yet.
Rescooped by Alejandro J. Alvarez S. from CxConferences
Scoop.it!

SASO 2015: Ninth IEEE International Conference on Self-Adaptive and Self-Organizing Systems

SASO 2015: Ninth IEEE International Conference on Self-Adaptive and Self-Organizing Systems | Complex Networks Everywhere | Scoop.it

Ninth IEEE International Conference on Self-Adaptive and Self-Organizing Systems - Cambridge, MA 21 - 25 September 2015

 

Part of FAS* - Foundation and Applications of Self* Computing Conferences
Collocated with:
The International Conference on Cloud and Autonomic Computing (CAC 2015)
The 15th IEEE Peer-to-Peer Computing Conference

 

The aim of the Self-Adaptive and Self-Organizing systems conference series (SASO) is to provide a forum for the foundations of a principled approach to engineering systems, networks and services based on self-adaptation and self-organization. The complexity of current and emerging networks, software and services, especially in dealing with dynamics in the environment and problem domain, has led the software engineering, distributed systems and management communities to look for inspiration in diverse fields (e.g., complex systems, control theory, artificial intelligence, sociology, and biology) to find new ways of designing and managing such computing systems. In this endeavor, self-organization and self-adaptation have emerged as two promising interrelated approaches. Many significant research problems exist related to self-adaptive or self-organizing systems. A challenge in self-adaptation is often to identify how to change specific behavior to achieve the desired improvement. Another major challenge is to predict and control the global system behavior resulting from self-organization. Yet more challenges arise from the confluence of self-adaptation with self-organization. For instance, how do self-* mechanisms that work well independently operate in combination? How are meso-level structures formed which leverage micro-level behavior to achieve desirable macro-level outcomes, and avoid undesirable ones?

 

https://saso2015.mit.edu 


Via Complexity Digest
more...
No comment yet.
Rescooped by Alejandro J. Alvarez S. from CxAnnouncements
Scoop.it!

2015 Complex System Summer School | Santa Fe Institute

2015 Complex System Summer School | Santa Fe Institute | Complex Networks Everywhere | Scoop.it

The Complex Systems Summer School offers an intensive four week introduction to complex behavior in mathematical, physical, living, and social systems for graduate students and postdoctoral fellows in the sciences and social sciences. The school is for participants who seek background and hands-on experience to help them prepare to conduct interdisciplinary research in areas related to complex systems.

 

http://santafe.edu/education/schools/complex-systems-summer-schools/2015-program-info/


Via Complexity Digest
more...
No comment yet.
Rescooped by Alejandro J. Alvarez S. from CxAnnouncements
Scoop.it!

PhD Scholarships in Complex Systems @Sydney_Uni

Funding is available for applicants interested in carrying out fundamental and applied research in the field of complex systems. The research will involve theoretical work as well as computer simulations. It will aim to discover fundamental connections between information-theoretic and statistical-mechanical approaches to self-organisation, while investigating a variety of topics in nonlinear critical phenomena, with particular focus on information dynamics during phase transitions. 

The PhD will be supervised by Prof. Mikhail Prokopenko. The applicant will join the Complex Systems Research Group (CSRG) at The School of Civil Engineering – The University of Sydney. The CSRG group comprises ten academics, and has wide collaborations across the University, Australia, and internationally. It is a vibrant, world-leading group in the fields of guided self-organisation and critical phenomena forecasting.

...

The scholarship also includes covering the fees payable by international students.


Via Complexity Digest
more...
No comment yet.
Rescooped by Alejandro J. Alvarez S. from CxAnnouncements
Scoop.it!

Two PhD fellowships in "Complexity Economics" @UGent

The PhD student will work within the larger LAB-M project "Live agent based models and the theory of adaptive multi-type and multilayer networks to study economic complexity and financial instability", funded by Ghent University and by the Flemish Fund for Scientific Research (FWO-Vlaanderen). The LAB-M project aims to model interactions of real persons with real incentives in massive multiplayer online games (MMOG) with realistic economic environments to test a wide plethora of economic and political theories and develop new theories rooted in network theory and methodology. The LAB-M world provides natural experiments and collects multi-faceted data on the interaction of people in adaptive multilayer networks. We will develop a new methodological language for social physics, rooted in adaptive multi-type multilayer networks. The PhD students will be based at the Economics and Physics Department of Ghent University (Belgium), and will be part of a research team, coordinated by Prof. Jan Ryckebusch and Prof. Koen Schoors. The PhD student will also be guided by international external advisors. 

 

http://inwpent5.ugent.be/Vacancies


Via Complexity Digest
more...
No comment yet.
Rescooped by Alejandro J. Alvarez S. from Social Network Analysis #sna
Scoop.it!

Data Mining Reveals a Global Link Between Corruption and Wealth

Data Mining Reveals a Global Link Between Corruption and Wealth | Complex Networks Everywhere | Scoop.it
Social scientists have never understood why some countries are more corrupt than others. But the first study that links corruption with wealth could help change that.

Via ukituki
Alejandro J. Alvarez S.'s insight:

Interesting :D

more...
ukituki's curator insight, February 10, 5:22 PM

Paulus and Kristoufek use this data to search for find clusters of countries that share similar properties using a new generation of cluster-searching algorithms. And they say that the 134 countries they study fall neatly into four groups which are clearly correlated with the wealth of the nations within them.

The method that makes this possible is known as the average linkage clustering approach. It begins by assuming that each country represents a cluster in itself and then looking for the nearest neighbour in the ranking. This pair then become a new cluster and this cluster placed back into the list as a single entity. The process is then repeated until it produces a single cluster of all the countries.

Eli Levine's curator insight, May 14, 2:12 PM

The question then becomes whether wealth, or the lack thereof, is a cause of corruption or wealth is caused by a lack of corruption.  It makes sense in my mind that a lack of corruption leads to increased potential to make wealth because the appropriate use of resources (ie, using resources for their stated purposes) and the honesty that underlies that point could, in my view, make for more wealth than the dishonest methods and inappropriate usage of public funds would.  We could hypothetically run simulations to test which one is the case, similar to the Sugarscape experiments.  On the other hand, a lack of resources may incentivize those who don't have much to take more from the public resources and use them for private uses (ie, what I call the Jean Valjean effect).  More experimentation should be done to tease this out.  Perhaps by knowing what they're giving up by having corruption, the officials will be more circumspect about how they live off and take from the public till.

Rescooped by Alejandro J. Alvarez S. from Social Network Analysis #sna
Scoop.it!

Opinion formation driven by PageRank node influence on directed networks

We study a two states opinion formation model driven by PageRank node influence and report an extensive numerical study on how PageRank affects collective opinion formations in large-scale empirical directed networks. In our model the opinion of a node can be updated by the sum of its neighbor nodes' opinions weighted by the node influence of the neighbor nodes at each step. 


Via ukituki
more...
ukituki's curator insight, February 10, 5:26 PM

First, we observe that all networks reach steady state opinion after a certain relaxation time. This time scale is decreasing with the heterogeneity of node influence in the networks. Second, we find that our model shows consensus and non-consensus behavior in steady state depending on types of networks: Web graph, citation network of physics articles, and LiveJournal social network show non-consensus behavior while Wikipedia article network shows consensus behavior. Third, we find that a more heterogeneous influence distribution leads to a more uniform opinion state in the cases of Web graph, Wikipedia, and Livejournal. However, the opposite behavior is observed in the citation network. Finally we identify that a small number of influential nodes can impose their own opinion on significant fraction of other nodes in all considered networks.

Rescooped by Alejandro J. Alvarez S. from Social Network Analysis #sna
Scoop.it!

Science vs Conspiracy: Collective Narratives in the Age of Misinformation

Science vs Conspiracy: Collective Narratives in the Age of Misinformation | Complex Networks Everywhere | Scoop.it

“ The large availability of user provided contents on online social media facilitates people aggregation around shared beliefs, interests, worldviews and narratives. In spite of the enthusiastic rhetoric about the so called collective intelligence unsubstantiated rumors and conspiracy theories—e.g., chemtrails, reptilians or the Illuminati—are pervasive in online social networks (OSN). In this work we study, on a sample of 1.2 million of individuals, how information related to very distinct narratives—i.e. main stream scientific and conspiracy news—are consumed and shape communities on Facebook. Our results show that polarized communities emerge around distinct types of contents and usual consumers of conspiracy news result to be more focused and self-contained on their specific contents. To test potential biases induced by the continued exposure to unsubstantiated rumors on users’ content selection, we conclude our analysis measuring how users respond to 4,709 troll information—i.e. parodistic and sarcastic imitation of conspiracy theories. We find that 77.92% of likes and 80.86% of comments are from users usually interacting with conspiracy stories.”


Via Ashish Umre, Frédéric Amblard, ukituki
more...
ukituki's curator insight, February 28, 5:25 AM
We find that 77.92% of likes and 80.86% of comments are from users usually interacting with conspiracy stories.
Rescooped by Alejandro J. Alvarez S. from Social Network Analysis #sna
Scoop.it!

Data Mining Indian Recipes Reveals New Food Pairing Phenomenon | MIT Technology Review

Data Mining Indian Recipes Reveals New Food Pairing Phenomenon | MIT Technology Review | Complex Networks Everywhere | Scoop.it
By studying the network of links between Indian recipes, computer scientists have discovered that the presence of certain spices makes a meal much less likely to contain ingredients with flavors in common.

Via ukituki
more...
ukituki's curator insight, March 3, 5:00 PM

Food pairing seems to be common in North American and Western European cuisines but absent in cuisines from southern Europe and East Asia.

Today, Anupam Jain and pals at the Indian Institute of Technology Jodhpur say the opposite effect occurs in Indian cuisine. In this part of the world, foods with common flavors are less likely to appear together in the same recipe. And the presence of certain spices make the negative food pairing effect even stronger.

Rescooped by Alejandro J. Alvarez S. from Social Network Analysis #sna
Scoop.it!

Social Network Attention Analysis

Analysis of 25 verticals looking at the most prominent social network within each based on shares, we analysed 366,596 posts and 130,279,586 total shares.

Via ukituki
more...
No comment yet.
Rescooped by Alejandro J. Alvarez S. from Social Network Analysis #sna
Scoop.it!

Exposure to Diverse Information on Facebook

Exposure to Diverse Information on Facebook | Complex Networks Everywhere | Scoop.it
Our latest data science research, released today in Science, quantifies exactly how much individuals could be and are exposed to ideologically diverse news and information in social media.

Via ukituki
more...
No comment yet.
Rescooped by Alejandro J. Alvarez S. from CxConferences
Scoop.it!

2015 Computational Social Science Summit

2015 Computational Social Science Summit | Complex Networks Everywhere | Scoop.it

This new annual computational social science summit is designed to create a broad community of social science researchers - academics, tech industry workers, open data activists, government agency workers, and think tank analysts – dedicated to advancing sociological knowledge through computational methods. Our goal is to foreground social science research and identify areas that can benefit from a deep engagement with computer science and related areas. The Summit will take place over three days, from May 15-17 at Northwestern University’s Kellogg School of Management in Evanston, IL.

 

http://www.kellogg.northwestern.edu/news-events/conference/csss/2015.aspx


Via Complexity Digest
more...
No comment yet.
Rescooped by Alejandro J. Alvarez S. from CxConferences
Scoop.it!

Student Conference on Complexity Science @sccs2015

Student Conference on Complexity Science @sccs2015 | Complex Networks Everywhere | Scoop.it

The UK’s largest conference for early-career researchers in complexity science is graduating to mainland Europe. The Student Conference on Complexity Science (SCCS) has a focus on computational modelling, simulation and network analysis that extends over the full range of disciplines. The interdisciplinary nature of the conference is attested by its diversity of keynote speakers, delegates, and practical, hands-on workshops.

Since 2010, the SCCS conference series has brought together PhD students and early-career researchers from the UK and beyond, whose interests span areas as diverse as quantum physics, ecological food webs, and the the economics of happiness. This year SCCS will take place for three days in Granada, Spain to engage more international participation.

SCCS 2015 will be held between 9-11 September 2015 in Granada Congress and Exhibition Centre, Spain.


http://sccs2015.soton.ac.uk/index.php


Via Complexity Digest
more...
No comment yet.
Rescooped by Alejandro J. Alvarez S. from CxConferences
Scoop.it!

Summer Solstice International Conference on Discrete Models of Complex Systems

Summer Solstice International Conference on Discrete Models of Complex Systems | Complex Networks Everywhere | Scoop.it

The aim of this conference is to bring together researchers from around the world working on discrete modeling of complex systems and analysis of their dynamics. The objective of this conference is to provide a forum for exchange of ideas, presentation of results of current research and to discuss potential future directions and developments in the field of discrete modeling of complex systems and analysis of their dynamics from methodological and phenomenological point of view. The conference will cover both theoretical and applied research. It will focus on discrete modeling methodologies and their applications to analysis across different scales of dynamics of complex systems.
The 2015 Summer Solstice Conference topics include, but are not limited to, the following:
• Challenges, benefits and theory of modeling and simulation of complex systems using cellular automata, lattice gas cellular automata, multi-agent based models, complex networks
• Discrete models in biology and medicine
• Discrete models in economy and social sciences
• Discrete models of man made complex systems from nanotechnology to information networks
• Tools of analysis of dynamics and multiscale phenomena of discrete models of complex systems
There will be sessions of contributed presentations. The organizers reserve the right to assign contributed presentation as oral or poster. The Post Conference Proceedings are planned and all conference presenters will be invited to submit a paper for publication in the Proceedings. All submissions will be peer-reviewed.

 

2015 Summer Solstice
7th International Conference on Discrete Models of Complex Systems
June 17-19, 2015, The Fields Institute, Toronto, Ontario, Canada
http://www.fields.utoronto.ca/programs/scientific/14-15/complexsys15/ ;


Via Complexity Digest
more...
No comment yet.
Rescooped by Alejandro J. Alvarez S. from CxAnnouncements
Scoop.it!

The LinkedIn Economic Graph Challenge

The LinkedIn Economic Graph Challenge | Complex Networks Everywhere | Scoop.it

There are approximately 3 billion people in the global workforce. LinkedIn's vision is to create economic opportunity for every one of them. The development of the world's first Economic Graph will lead to making that vision a reality. This, of course, is no easy task. Our vision is grand, but it's not unattainable.

So, here's the challenge: Given the wealth of data that exists within LinkedIn, what research would you propose that has the potential to create greater economic opportunity?

We are launching the LinkedIn Economic Graph Challenge to encourage researchers, academics and data-driven thinkers to solve some of the most challenging economic problems of our times.

 

http://economicgraphchallenge.linkedin.com


Via Complexity Digest
more...
No comment yet.
Rescooped by Alejandro J. Alvarez S. from CxAnnouncements
Scoop.it!

Postdoctoral and Student/Predoctoral Research Positions @NECSI

The New England Complex Systems Institute has funding for postdoctoral and predoctoral research appointments. We look for outstanding applicants with training in physics, mathematics or computer science. We value strong writing abilities. Candidates should be interested in contributing to a wide range of NECSI's research areas, including analysis and modeling of

Socio-economic systems relevant to:
- The food and economic crises,
- Conflicts, revolutions, and ethnic violence
- International development, and
- Pandemics

Fundamental mathematical advances such as:
- Multisc ale representations
- Network representations
To apply please visit: http://www.necsi.edu/education/postdoc/app.php


Via Complexity Digest
more...
No comment yet.
Rescooped by Alejandro J. Alvarez S. from CxAnnouncements
Scoop.it!

PhD Position: Mobile Middleware Systems for Distributed Social Mining

We are looking for a PhD student with an excellent background in software engineering, computer systems, computer networks or distributed systems. The work will be pursued in the context of the Nervousnet Project. The goal of the project is to build a “Planetary Nervous System“, i.e. an open distributed participatory platform to provide collective measurements and social mining services as a public good. As a PhD student working in this project, you are expected to design and engineer novel mechanisms for data collection, data management and communication among mobile devices and embedded systems. Some of the challenges concern privacy, data quality, performance and decentralization. 

 

https://pub.refline.ch/845721/3825/++publications++/1/index.html ;


Via Complexity Digest
more...
No comment yet.