scholarly journals Optimal deployment of resources for maximizing impact in spreading processes

2017 ◽  
Vol 114 (39) ◽  
pp. E8138-E8146 ◽  
Author(s):  
Andrey Y. Lokhov ◽  
David Saad
Keyword(s):  
Message Passing ◽  
Regulatory Networks ◽  
Information Dissemination ◽  
Time Window ◽  
Analytical Framework ◽  
Financial Contagion ◽  
Targeted Interventions ◽  
Spreading Dynamics ◽  
Effective Use ◽  
Spreading Processes

The effective use of limited resources for controlling spreading processes on networks is of prime significance in diverse contexts, ranging from the identification of “influential spreaders” for maximizing information dissemination and targeted interventions in regulatory networks, to the development of mitigation policies for infectious diseases and financial contagion in economic systems. Solutions for these optimization tasks that are based purely on topological arguments are not fully satisfactory; in realistic settings, the problem is often characterized by heterogeneous interactions and requires interventions in a dynamic fashion over a finite time window via a restricted set of controllable nodes. The optimal distribution of available resources hence results from an interplay between network topology and spreading dynamics. We show how these problems can be addressed as particular instances of a universal analytical framework based on a scalable dynamic message-passing approach and demonstrate the efficacy of the method on a variety of real-world examples.

scholarly journals Heterogeneous node responses to multi-type epidemics on networks

2020 ◽  
Vol 476 (2243) ◽  
pp. 20200587
Author(s):  
S. Moore ◽  
T. Rogers
Keyword(s):  
Network Topology ◽  
Message Passing ◽  
Contact Network ◽  
Epidemic Spreading ◽  
Infection Parameters ◽  
Infection Types ◽  
Heterogeneous Node ◽  
Spreading Processes

Having knowledge of the contact network over which an infection is spreading opens the possibility of making individualized predictions for the likelihood of different nodes to become infected. When multiple infective strains attempt to spread simultaneously we may further ask which strain, or strains, are most likely to infect a particular node. In this article we investigate the heterogeneity in likely outcomes for different nodes in two models of multi-type epidemic spreading processes. For models allowing co-infection we derive message-passing equations whose solution captures how the likelihood of a given node receiving a particular infection depends on both the position of the node in the network and the interaction between the infection types. For models of competing epidemics in which co-infection is impossible, a more complicated analysis leads to the simpler result that node vulnerability factorizes into a contribution from the network topology and a contribution from the infection parameters.

scholarly journals Agricultural Development Programme's (ADP's) effectiveness in the use of mass media for agricultural information dissemination to farmers in Imo State, Nigeria

2020 ◽  
Vol 17 (2) ◽  
pp. 34-44
Author(s):  
Uzoamaka N. Akwiwu ◽  
Ruby E. Patrick
Keyword(s):  
Mass Media ◽  
Agricultural Development ◽  
Information Dissemination ◽  
Sampling Technique ◽  
Perceived Effectiveness ◽  
Imo State ◽  
Multi Stage ◽  
Level Of Use ◽  
Level Of Significance ◽  
Effective Use

This study sought to assess ADP’s effective use of mass media in agricultural information dissemination to farmers in Imo state, Nigeria. A total of  120 farmers were selected through multi-stage sampling technique. Interview schedule was used to elicit information on farmers’ accessibility of agricultural information through mass media, perceived level of use of mass media in receiving agricultural information among farmers and to determine the perceived effectiveness of ADP’s use of mass media in agricultural information dissemination. Data collected were analyzed using frequency distribution, percentages, mean, and PPMC to test the hypothesis at 0.05 level of significance. The result shows that the majority (88.3%) of the respondents accessed agricultural information through radio. Perceived level of use of mass media in receiving agricultural information (58.3%) was low. Use of mass media in agricultural information dissemination by ADP (59.2%) was ineffective. There was significant relationshipbetween the perceived level of use of mass media in receiving agricultural information (r=0.64) and the perceived effectiveness of ADP’s use of mass media in agricultural information dissemination. The use of mass media in agricultural information dissemination in Imo State by ADP was  ineffective. This work recommends that ADP in Imo State establish their own indigenous mass media tools to ensure its effective use by extension agents and control of content for agricultural information dissemination. Keywords: ADP, Agricultural information dissemination, Mass media

scholarly journals Identifying the Influential Latent Edges for Promoting the Co-SIR Model

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Dan Yang ◽  
Liming Pan ◽  
Zhidan Zhao ◽  
Tao Zhou
Keyword(s):  
Real World ◽  
Message Passing ◽  
Sir Model ◽  
Research Area ◽  
Disease Outbreak ◽  
Limited Attention ◽  
Original Network ◽  
Spreading Model ◽  
Spreading Dynamics ◽  
Information Spreading

The network-based cooperative information spreading is a widely existing phenomenon in the real world. For instance, the spreading of disease outbreak news and disease prevention information often coexist and interact with each other on the Internet. Promoting the cooperative spreading of information in network-based systems is a subject of great importance in both theoretical and practical perspectives. However, very limited attention has been paid to this specific research area so far. In this study, we propose an effective approach for identifying the influential latent edges (that is, the edges that do not originally exist) which, if added to the original network, can promote the cooperative susceptible-infected-recovered (co-SIR) dynamics. To be specific, we first obtain the probabilities of each nodes being in different node states by the message-passing approach. Then, based on the state probabilities of nodes obtained, we come up with an indicator, which incorporates both the information of network topology and the co-SIR dynamics, to measure the influence of each latent edge in promoting the co-SIR dynamics. Thus, the most influential latent edges can be located after ranking all the latent edges according to their quantified influence. We verify the rationality and superiority of the proposed indicator in identifying the influential latent edges of both synthetic and real-world networks by extensive numerical simulations. This study provides an effective approach to identify the influential latent edges for promoting the network-based co-SIR information spreading model and offers inspirations for further research on intervening the cooperative spreading dynamics from the perspective of performing network structural perturbations.

scholarly journals Data expansion: the potential of grey literature for understanding floods

2012 ◽  
Vol 9 (9) ◽  
pp. 11049-11092 ◽  
Author(s):  
S. Uhlemann ◽  
R. Bertelmann ◽  
B. Merz
Keyword(s):  
Flood Risk ◽  
Information Dissemination ◽  
Scientific Practice ◽  
Grey Literature ◽  
Extensive Coverage ◽  
Building Process ◽  
Specific Analysis ◽  
Technological Developments ◽  
Effective Use ◽  
Data Expansion

Abstract. Sophisticated methods have been developed and become standard in analysing floods as well as for assessing the flood risk. However, increasingly critique of the current standards and scientific practice can be found both in the flood hydrology community as well as in the risk community who argue that the considerable amount of information already available on natural disasters has not been adequately deployed and brought to effective use. We describe this phenomenon as a failure to synthesize knowledge that results from barriers and ignorance in awareness, use and management of the entire spectrum of relevant content, that is, data, information and knowledge. In this paper we argue that the scientific community in flood risk research ignores event specific analysis and documentations as another source of data. We present results from a systematic search that includes an intensive study on sources and ways of information dissemination of flood relevant publications. We obtain 183 documents that contain information on the sources, pathways, receptors and/or consequences for any of the 40 strongest trans-basin floods in Germany in the period 1952–2002. This study therefore provides the most comprehensive meta-data collection of flood documentations for the considered geographical space and period. 87.5% of all events have been documented and especially the most severe floods have received extensive coverage. Only 30% of the material has been produced in the scientific/academic environment and the majority of all documents (about 80%) can be considered grey literature. Therefore, ignoring grey sources in flood research also means ignoring the largest part of knowledge available on single flood events (in Germany). Further, the results of this study underpin the rapid changes in information dissemination of flood event literature over the last decade. We discuss the options and obstacles of incorporating this data in the knowledge building process in the light of the current technological developments and international, interdisciplinary debates for data curation.

scholarly journals From Mises and Hayek to the Planned and Mixed Economy. Planning Criteria, Basic Income, Guaranteed Job

2021 ◽  
Author(s):  
Yaroslav Stefanov
Keyword(s):  
Mixed Model ◽  
Analytical Framework ◽  
Basic Income ◽  
Planned Economy ◽  
Mixed Economy ◽  
Personal Benefit ◽  
Product Characterization ◽  
Starting Point ◽  
Effective Use ◽  
Optimal Construction

Arguments of Mises and Hayek, who opposed the planned economy (PE), are used in the paper as a starting point for establishing the objective area of effective application of the PE. The abstract model of PE, based on the definitions of Mises and Hayek, leads to the conclusion that for the effective use of PE, it must be a part of mixed economy and it must produce a limited amount of essential goods of irreducible demand. These goods must be distributed among all members of society free of charge, evenly, without competition. Examples of a mixed economy are given that meet this requirement. Calculations of the personal benefit in the transition to a mixed model of the economy have been carried out. The positive and negative qualities of the planned and market methods of organization are considered. Mixed economy model combines these qualities in optimal construction. An analytical framework has been introduced for the construction of product characterization curves. Such curves provide criteria for determining the efficiency of manufacturing of this product in a planned economy. The general economic prerequisites for the usability of the PE are clarified. The applicability and advantages of the PE for the organization of the universal basic income (UBI) system are demonstrated. The possibility of using PE to solve the problem of guaranteed employment is mentioned.

scholarly journals Constructing gene regulatory networks using epigenetic data

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Abhijeet Rajendra Sonawane ◽  
Dawn L. DeMeo ◽  
John Quackenbush ◽  
Kimberly Glass
Keyword(s):  
Transcription Factor ◽  
Gene Regulatory Networks ◽  
Regulatory Network ◽  
Message Passing ◽  
Regulatory Networks ◽  
Transcription Factor Binding ◽  
Network Reconstruction ◽  
Sequence Motif ◽  
Factor Binding ◽  
Gene Regulatory

AbstractThe biological processes that drive cellular function can be represented by a complex network of interactions between regulators (transcription factors) and their targets (genes). A cell’s epigenetic state plays an important role in mediating these interactions, primarily by influencing chromatin accessibility. However, how to effectively use epigenetic data when constructing a gene regulatory network remains an open question. Almost all existing network reconstruction approaches focus on estimating transcription factor to gene connections using transcriptomic data. In contrast, computational approaches for analyzing epigenetic data generally focus on improving transcription factor binding site predictions rather than deducing regulatory network relationships. We bridged this gap by developing SPIDER, a network reconstruction approach that incorporates epigenetic data into a message-passing framework to estimate gene regulatory networks. We validated SPIDER’s predictions using ChIP-seq data from ENCODE and found that SPIDER networks are both highly accurate and include cell-line-specific regulatory interactions. Notably, SPIDER can recover ChIP-seq verified transcription factor binding events in the regulatory regions of genes that do not have a corresponding sequence motif. The networks estimated by SPIDER have the potential to identify novel hypotheses that will allow us to better characterize cell-type and phenotype specific regulatory mechanisms.

Parallel simulation

2017 ◽  
Author(s):  
Michael P. Allen ◽  
Dominic J. Tildesley
Keyword(s):  
Shared Memory ◽  
Message Passing ◽  
High Performance ◽  
Distributed Memory ◽  
Nested Loops ◽  
Code Domain ◽  
Basic Approaches ◽  
Effective Use ◽  
Memory Architectures ◽  
Performance Computing

Parallelization is essential for the effective use of modern high-performance computing facilities. This chapter summarizes some of the basic approaches that are commonly used in molecular simulation programs. The underlying shared-memory and distributed-memory architectures are explained. The concept of program threads and their use in parallelizing nested loops on a shared memory machine is described. Parallel tempering using message passing on a distributed memory machine is discussed and illustrated with an example code. Domain decomposition, and the implementation of constraints on parallel computers, are also explained.

scholarly journals Temporal flexibility of gene regulatory network underlies a novel wing pattern in flies

2020 ◽  
Vol 117 (21) ◽  
pp. 11589-11596 ◽  
Author(s):  
Héloïse D. Dufour ◽  
Shigeyuki Koshikawa ◽  
Cédric Finet
Keyword(s):  
Gene Regulatory Networks ◽  
Regulatory Networks ◽  
Time Window ◽  
Single Gene ◽  
Wing Pattern ◽  
The Past ◽  
Novel Traits ◽  
Temporal Flexibility ◽  
Gene Regulatory ◽  
Anterior Posterior

Organisms have evolved endless morphological, physiological, and behavioral novel traits during the course of evolution. Novel traits were proposed to evolve mainly by orchestration of preexisting genes. Over the past two decades, biologists have shown that cooption of gene regulatory networks (GRNs) indeed underlies numerous evolutionary novelties. However, very little is known about the actual GRN properties that allow such redeployment. Here we have investigated the generation and evolution of the complex wing pattern of the flySamoaia leonensis. We show that the transcription factor Engrailed is recruited independently from the other players of the anterior–posterior specification network to generate a new wing pattern. We argue that partial cooption is made possible because 1) the anterior–posterior specification GRN is flexible over time in the developing wing and 2) this flexibility results from the fact that every single gene of the GRN possesses its own functional time window. We propose that the temporal flexibility of a GRN is a general prerequisite for its possible cooption during the course of evolution.

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