更改

网络布局

网络布局

[[File:ProductSpaceFDSL.png|thumb|left|upright=2|The force-directed spring layout above includes the links from the MST and any edge with a proximity greater than 0.55. To achieve the final Product Space design, the dense clusters were manually untangled and attributes were added in terms of node/link size and color.]] The basic "skeleton" of the network is developed by imposing on it the strongest links which were not necessarily in the MST by employing a threshold on the proximity values; they chose to include all links of proximity greater than or equal to 0.55. This produced a network of 775 nodes and 1525 links. This threshold was chosen such that the network exhibited an average degree equal to 4, a common convention for effective [[network visualization]]s. With the framework complete, a force-directed spring algorithm was used to achieve a more ideal network layout. This algorithm considers each node to be a charged particle and the links are assumed to be springs; the layout is the resulting equilibrium, or relaxed, position of the system. Manual rearranging untangled dense clusters to achieve maximum aesthetic efficacy.

[[File:ProductSpaceFDSL.png|thumb|left|upright=2|The force-directed spring layout above includes the links from the MST and any edge with a proximity greater than 0.55. To achieve the final Product Space design, the dense clusters were manually untangled and attributes were added in terms of node/link size and color.上面的力定向弹簧布局包括来自MST的连接和邻近度大于0.55的任何边缘。为了实现最终的产品空间设计，人工解除稠密的集群，并根据节点/链接的大小和颜色添加属性。]] The basic "skeleton" of the network is developed by imposing on it the strongest links which were not necessarily in the MST by employing a threshold on the proximity values; they chose to include all links of proximity greater than or equal to 0.55. This produced a network of 775 nodes and 1525 links. This threshold was chosen such that the network exhibited an average degree equal to 4, a common convention for effective [[network visualization]]s. With the framework complete, a force-directed spring algorithm was used to achieve a more ideal network layout. This algorithm considers each node to be a charged particle and the links are assumed to be springs; the layout is the resulting equilibrium, or relaxed, position of the system. Manual rearranging untangled dense clusters to achieve maximum aesthetic efficacy.

The force-directed spring layout above includes the links from the MST and any edge with a proximity greater than 0.55. To achieve the final Product Space design, the dense clusters were manually untangled and attributes were added in terms of node/link size and color. The basic "skeleton" of the network is developed by imposing on it the strongest links which were not necessarily in the MST by employing a threshold on the proximity values; they chose to include all links of proximity greater than or equal to 0.55. This produced a network of 775 nodes and 1525 links. This threshold was chosen such that the network exhibited an average degree equal to 4, a common convention for effective network visualizations. With the framework complete, a force-directed spring algorithm was used to achieve a more ideal network layout. This algorithm considers each node to be a charged particle and the links are assumed to be springs; the layout is the resulting equilibrium, or relaxed, position of the system. Manual rearranging untangled dense clusters to achieve maximum aesthetic efficacy.

The force-directed spring layout above includes the links from the MST and any edge with a proximity greater than 0.55. To achieve the final Product Space design, the dense clusters were manually untangled and attributes were added in terms of node/link size and color. The basic "skeleton" of the network is developed by imposing on it the strongest links which were not necessarily in the MST by employing a threshold on the proximity values; they chose to include all links of proximity greater than or equal to 0.55. This produced a network of 775 nodes and 1525 links. This threshold was chosen such that the network exhibited an average degree equal to 4, a common convention for effective network visualizations. With the framework complete, a force-directed spring algorithm was used to achieve a more ideal network layout. This algorithm considers each node to be a charged particle and the links are assumed to be springs; the layout is the resulting equilibrium, or relaxed, position of the system. Manual rearranging untangled dense clusters to achieve maximum aesthetic efficacy.

上面的力定向弹簧布局包括来自MST的连接和邻近度大于0.55的任何边缘。为了实现最终的产品空间设计，手动地解开密集聚类，并根据节点/链接的大小和颜色添加属性。该网络的基本”骨架”是通过使用邻近值的阈值将不一定在 MST 中的最强链接强加给它而形成的; 选择包括大于或等于0.55的所有邻近链接。这产生了一个由775个节点和1525个链接组成的网络。选择阈值使得网络的平均度等于4，这是有效'''<font color="#ff8000">网络可视化 network visualization</font>'''的一个常见规则。随着框架的完成，用一个力导向的弹簧算法实现更理想的网络布局。该算法将每个节点视为带电粒子，并假定每个连杆为弹簧，布局为系统的平衡位置或松弛位置。手动重新排列整齐的密集集群，以获得最大的美学效果。

上面的力定向弹簧布局包括来自MST的连接和邻近度大于0.55的任何边缘。为了实现最终的产品空间设计，人工解除稠密的集群，并根据节点/链接的大小和颜色添加属性。该网络的基本”骨架”是通过使用邻近值的阈值将不一定在 MST 中的最强链接强加给它而形成的; 选择包括大于或等于0.55的所有邻近链接。这产生了一个由775个节点和1525个链接组成的网络。选择阈值使得网络的平均度等于4，这是有效'''<font color="#ff8000">网络可视化 network visualization</font>'''的一个常见规则。随着框架的完成，用一个力导向的弹簧算法实现更理想的网络布局。该算法将每个节点视为带电粒子，并假定每个连杆为弹簧，布局为系统的平衡位置或松弛位置。手动重新排列整齐的密集集群，以获得最大的美学效果。

===Node and link attributes===

===Node and link attributes===