The economy of a country can be modeled as a complex system in which several players buy and sell goods from each other.By analyzing the investment flows,it is possible to reconstruct the supply chain for the producti...The economy of a country can be modeled as a complex system in which several players buy and sell goods from each other.By analyzing the investment flows,it is possible to reconstruct the supply chain for the production of most goods,whose understanding is important to analysts and public officials interested in creating and evaluating strategies for informed and strategic decision making,for instance,adjusting tax policies.Those networks of players and investments,however,tend to be complex and very dense,which leads to over-plotted visualizations that obfuscate precious information such as the dependencies between productive sectors and regions.In this paper,we propose Hermes,a guidanceenriched Visual Analytics environment(named after the Greek God of Commerce)for the exploration of complex economic networks,to uncover supply chains,regions’productivity,and sector-to-sector relationships.With practical knowledge regarding guidance,we designed and implemented a visual sub-graph querying approach to extract patterns from such complex investment graphs obtained from real-world data.We present a three-fold evaluation of the system:we perform a qualitative evaluation of our approach with three domain experts,a separate assessment of the proposed guidance features with an expert researcher in this field,and a case study of Hermes using a bank account network dataset to demonstrate the generalizability of our approach.展开更多
Collective computation is the process by which groups store and share information to arrive at decisions for collective behavior.How societies engage in effective collective computation depends partly on their scale.S...Collective computation is the process by which groups store and share information to arrive at decisions for collective behavior.How societies engage in effective collective computation depends partly on their scale.Social arrangements and technologies that work for small-and mid-scale societies are inadequate for dealing effectively with the much larger communication loads that societies face during the growth in scale that is a hallmark of the Holocene.An important bottleneck for growth may be the development of systems for persistent recording of information(writing),and perhaps also the abstraction of money for generalizing exchange mechanisms.Building on Shin et al.,we identify a Scale Threshold to be crossed before societies can develop such systems,and an Information Threshold which,once crossed,allows more or less unlimited growth in scale.We introduce several additional articles in this special issue that elaborate or evaluate this Thresholds Model for particular types of societies or times and places in the world.展开更多
基金This work was partially supported by the Research Cluster"Smart Communities and Technologies(SmartCT)"at TU Wien and the Austrian Science Fund(FWF),grant P31419-N31 Knowledge-Assisted Visual Analytics(KnoVA).
文摘The economy of a country can be modeled as a complex system in which several players buy and sell goods from each other.By analyzing the investment flows,it is possible to reconstruct the supply chain for the production of most goods,whose understanding is important to analysts and public officials interested in creating and evaluating strategies for informed and strategic decision making,for instance,adjusting tax policies.Those networks of players and investments,however,tend to be complex and very dense,which leads to over-plotted visualizations that obfuscate precious information such as the dependencies between productive sectors and regions.In this paper,we propose Hermes,a guidanceenriched Visual Analytics environment(named after the Greek God of Commerce)for the exploration of complex economic networks,to uncover supply chains,regions’productivity,and sector-to-sector relationships.With practical knowledge regarding guidance,we designed and implemented a visual sub-graph querying approach to extract patterns from such complex investment graphs obtained from real-world data.We present a three-fold evaluation of the system:we perform a qualitative evaluation of our approach with three domain experts,a separate assessment of the proposed guidance features with an expert researcher in this field,and a case study of Hermes using a bank account network dataset to demonstrate the generalizability of our approach.
基金the National Science Foundation(No.SMA-1620462)T.A.Kohler further acknowledges support from the Cluster of Excellence ROOTS,EXC 2150the Deutsche Forschungsgemeinschaft(DFG,German Research Foundation)under Germany’s Excellence Strategy.
文摘Collective computation is the process by which groups store and share information to arrive at decisions for collective behavior.How societies engage in effective collective computation depends partly on their scale.Social arrangements and technologies that work for small-and mid-scale societies are inadequate for dealing effectively with the much larger communication loads that societies face during the growth in scale that is a hallmark of the Holocene.An important bottleneck for growth may be the development of systems for persistent recording of information(writing),and perhaps also the abstraction of money for generalizing exchange mechanisms.Building on Shin et al.,we identify a Scale Threshold to be crossed before societies can develop such systems,and an Information Threshold which,once crossed,allows more or less unlimited growth in scale.We introduce several additional articles in this special issue that elaborate or evaluate this Thresholds Model for particular types of societies or times and places in the world.
