为了提高学院社团活动的知名度和影响力,我们设计并开发了一个基于asp.net 2.0的大学生社团文化网系统。该系统采用Visual Studio 2008作为软件开发平台,SQL Server2005作为数据库。本文简述了基于B/S结构的社团文化网的开发过程,并对...为了提高学院社团活动的知名度和影响力,我们设计并开发了一个基于asp.net 2.0的大学生社团文化网系统。该系统采用Visual Studio 2008作为软件开发平台,SQL Server2005作为数据库。本文简述了基于B/S结构的社团文化网的开发过程,并对网站建设需开设的拓展课程进行了思考。展开更多
Community division is an important method to study the characteristics of complex networks.The widely used fast-Newman(FN)algorithm only considers the topology division of the network at the static layer,and dynamic t...Community division is an important method to study the characteristics of complex networks.The widely used fast-Newman(FN)algorithm only considers the topology division of the network at the static layer,and dynamic traffic flow demand is ignored.The result of the division is only structurally optimal.To improve the accuracy of community division,based on the static topology of air route network,the concept of network traffic contribution degree is put forward.The concept of operational research is introduced to optimize the network adjacency matrix to form an improved community division algorithm.The air route network in East China is selected as the object of algorithm comparison experiment,including 352 waypoints and 928 segments.The results show that the improved algorithm has a more ideal effect on the division of the community structure.The proportion of the number of nodes included in the large community has increased by 21.3%,and the modularity value has increased from 0.756 to 0.806,in which the modularity value is in the range of[-0.5,1).The research results can provide theoretical and technical support for the optimization of flight schedules and the rational use of air route resources.展开更多
Social stability in group-living animals is an emergent property which arises from the interaction amongst multiple behavioral networks. However, pinpointing when a social group is at risk of collapse is difficult. We...Social stability in group-living animals is an emergent property which arises from the interaction amongst multiple behavioral networks. However, pinpointing when a social group is at risk of collapse is difficult. We used a joint network model- ing approach to examine the interdependencies between two behavioral networks, aggression and status signaling, from four sta- ble and three unstable groups of rhesus macaques in order to identify characteristic patterns of network interdependence in stable groups that are readily distinguishable from unstable groups. Our results showed that the most prominent source of aggres- sion-status network interdependence in stable social groups came from more frequent dyads than expected with opposite direc- tion status-aggression （i.e. A threatens B and B signals acceptance of subordinate status）. In contrast, unstable groups showed a decrease in opposite direction aggression-status dyads （but remained higher than expected） as well as more frequent than ex- pected dyads with bidirectional aggression. These results demonstrate that not only was the stable joint relationship between ag- gression and status networks readily distinguishable from unstable time points, social instability manifested in at least two differ- ent ways. In sum, our joint modeling approach may prove useful in quantifying and monitoring the complex social dynamics of any wild or captive social system, as all social systems are composed of multiple interconnected networks [Current Zoology 61 （1）： 70-84, 2015].展开更多
文摘为了提高学院社团活动的知名度和影响力,我们设计并开发了一个基于asp.net 2.0的大学生社团文化网系统。该系统采用Visual Studio 2008作为软件开发平台,SQL Server2005作为数据库。本文简述了基于B/S结构的社团文化网的开发过程,并对网站建设需开设的拓展课程进行了思考。
基金the Fundamental Research Funds for the Central Universities,and the Foundation of Graduate Innovation Center in NUAA(No.kfjj20190735)。
文摘Community division is an important method to study the characteristics of complex networks.The widely used fast-Newman(FN)algorithm only considers the topology division of the network at the static layer,and dynamic traffic flow demand is ignored.The result of the division is only structurally optimal.To improve the accuracy of community division,based on the static topology of air route network,the concept of network traffic contribution degree is put forward.The concept of operational research is introduced to optimize the network adjacency matrix to form an improved community division algorithm.The air route network in East China is selected as the object of algorithm comparison experiment,including 352 waypoints and 928 segments.The results show that the improved algorithm has a more ideal effect on the division of the community structure.The proportion of the number of nodes included in the large community has increased by 21.3%,and the modularity value has increased from 0.756 to 0.806,in which the modularity value is in the range of[-0.5,1).The research results can provide theoretical and technical support for the optimization of flight schedules and the rational use of air route resources.
文摘Social stability in group-living animals is an emergent property which arises from the interaction amongst multiple behavioral networks. However, pinpointing when a social group is at risk of collapse is difficult. We used a joint network model- ing approach to examine the interdependencies between two behavioral networks, aggression and status signaling, from four sta- ble and three unstable groups of rhesus macaques in order to identify characteristic patterns of network interdependence in stable groups that are readily distinguishable from unstable groups. Our results showed that the most prominent source of aggres- sion-status network interdependence in stable social groups came from more frequent dyads than expected with opposite direc- tion status-aggression （i.e. A threatens B and B signals acceptance of subordinate status）. In contrast, unstable groups showed a decrease in opposite direction aggression-status dyads （but remained higher than expected） as well as more frequent than ex- pected dyads with bidirectional aggression. These results demonstrate that not only was the stable joint relationship between ag- gression and status networks readily distinguishable from unstable time points, social instability manifested in at least two differ- ent ways. In sum, our joint modeling approach may prove useful in quantifying and monitoring the complex social dynamics of any wild or captive social system, as all social systems are composed of multiple interconnected networks [Current Zoology 61 （1）： 70-84, 2015].
