دانلود رایگان مقاله لاتین ثبات شبکه نوآوری از سایت الزویر


عنوان فارسی مقاله:

ثبات شبکه، اتصال و نوآوری خروجی


عنوان انگلیسی مقاله:

Network stability, connectivity and innovation output


سال انتشار : 2016



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بخشی از مقاله انگلیسی:


4. Empirical results 

We use the two stage regressions: First, we get the instrumental variable by regressing the inventor's post-2003 PatentCount on its pre-2003 value and get the estimated value PatentCount. Similarly, we d get the InventLife's estimated value InventLife; Second, we regress the d InventLife on PatentCount and other potential impact factors, and make d similar regressions with PatentCount being the dependent variable and InventLife being the instrumental variable. d As the InventLife is the transition data, we regress the InventLife using the Exponential Survival Model, which allows us to run the Accelerated Failure-Time regression in Stata. The Harrell's C index and Schoenfeld Residual tests the null hypothesis that the rate of the failure, i.e., inventor's turnover, remains constant as he/she stays longer in the network (Proportional Hazard Rate). The test in Table 2 suggests that the survival model with all inventors and inventors in the largest component should be based on the fact that a longer time in the network leads to a greater turnover rate, i.e., the failure accelerates as the time flows. However, the transition data of inventors not in the largest component owns a Proportional Hazard Rate in Table 2. As the survival models are based on the hazard rate, which correlates negatively with survival period, the parameter estimates should be oppositely translated, i.e., a negative parameter estimate in Table 2 suggests a positive impact on the survival period. As large components usually own well organized structure and may exhibit greater effects, we assign the inventors in larger components with greater weight and apply the Weighted Negative Binomial Model to the patent count. We take the edge counts in the component as the weight of its inventors. The patent count demonstrates positive impact on stability in Model 5 - Model 12 in Table 2. Similarly, the positive impact of inventor stability on patent count can also be found in Model 5 – Model 12 in Table 3. This provides evidence for the former half of H1, i.e., the inventor's network stability positively interacts with his/her innovation performance. However, the significant parameter estimates in both the largest and other components suggest that the positive interaction is not attenuated by the disconnected network, which does not provide evidence for the latter half of Hyopthesis 1.



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کلمات کلیدی:

[SOLVED] Network stability testing? - Spiceworks https://community.spiceworks.com/topic/741759-network-stability-testing Jan 16, 2015 - 10 posts - ‎6 authors I am looking for a way to test my home network for instability/packet loss. I occasionally work from home and use a VPN to connect to work. Stability Indicators in Network Reconstruction - PLOS journals.plos.org/plosone/article?id=10.1371/journal.pone.0089815 by M Filosi - ‎2014 - ‎Cited by 14 - ‎Related articles Feb 27, 2014 - One measure of this is the stability of these predictions to data resampling approaches. We introduce NetSI, a family of Network Stability ... Network Stability: Opportunity or Obstacles? | SpringerLink link.springer.com/article/10.1023/B:PORJ.0000031625.78226.bc This study introduces the concept of stability into the network, arguing that stability should be a core value in networks, as the function of the network largely ... Searches related to Network stability network stability definition stable network connection network stability test many minds collaborative katherine switz stability network the stabilization network john gesumaria