Neighbors, networks, and the development of transport systems: Explaining the diffusion of turnpike trusts in eighteenth-century England

Bogart, Dan

doi:10.1016/j.jue.2006.11.002

Cited by 18 publications

(12 citation statements)

References 29 publications

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“…Event history models predicting the timing of an action or event from characteristics of the person's or organization's network position have frequently been used although it should be noted that the network position sometimes merely represents whether one is married or the number of children one has. The impact of the size and composition of a person's social network on health or mortality is a popular topic (Adams et al 2002;Bygren et al 1996;Gustafsson et al 1998;Kang and Bloom 1993;Litwin and ShiovitzEzra 2006;Patterson et al 1996;Payette et al 2000;Samuelsson and Dehlin 1993;Trovato 1998;Villingshoj et al 2006) and so is the impact of exposure to adopters of an innovation through social or geographical network ties (Bogart 2007;Bohman 2006;Chaves 1996;Davis and Stout 1992;Edling and Sandell 2001;Lipp and Krempel 2001;McKeown 1994;Mintrom and Vergari 1998;Soule 1997;Strang 1991;Strang and Tuma 1993;Van den Bulte and Lillien 2001). The relevance of network ties for the hazard of finding a job has also been studied (Bernasco et al 1998;Brandt 2006;Yakubovich and Kozina 2000) as well as the hazard of leaving a field or organization (Clarysse et al 1996;McPherson et al 1992;Mossholder et al 2005;Sutton and Chaves 2004).…”

Section: Event History Models Applied To Social Networkmentioning

confidence: 99%

Networks of action and events over time. A multilevel discrete-time event history model for longitudinal network data

Nooy

2011

Social Networks

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Longitudinal network data recording the moment at which ties appear, change, or disappear are increasingly available. Event history models can be used to analyze the dynamics of time-stamped network data. This paper adapts the discrete-time event history model to social network data. A discrete-time event history model can easily incorporate a multilevel design and time-varying covariates. A multilevel design is needed to account for dependencies among ties and vertices, which should not be ignored in a small longitudinal network. Time-varying covariates are required to analyze network effects, that is, the impact of previous ties. In addition, a discrete-time event history model handles constraints on who can act or who can be acted upon in a straightforward way. The model can be estimated with multilevel logistic regression analysis, which is illustrated by an application to book reviews, so network evolution can be analyzed with a fairly standard statistical tool.Keywords: network dynamics; discrete-time event history models; multilevel logistic regression analysis; longitudinal social networks; book reviewing.In the analysis of longitudinal social networks, relatively little attention has been paid to the timing of relational events, namely the moments at which ties appear, change, or disappear. Initially, this kind of data was not available because longitudinal data were collected by means of repeatedly administered surveys (Katz and Proctor 1959: 318; Runger and Wasserman 1979: 144). As a consequence, models for network dynamics

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Section: Event History Models Applied To Social Networkmentioning

confidence: 99%

Networks of action and events over time. A multilevel discrete-time event history model for longitudinal network data

Nooy

2011

Social Networks

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“…For example, it appears that some communities delayed road improvements until other communities improved contiguous roads, particularly those that provided connections to London (Bogart 2007). There is also some evidence that communities learned about the benefits of road improvements from neighboring communities (Albert 1972).…”

Section: Factors Influencing Transport Developmentmentioning

confidence: 99%

Inter-Modal Network Externalities and Transport Development: Evidence from Roads, Canals, and Ports During the English Industrial Revolution

Bogart

2008

Netw Spat Econ

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“…In the 1700s turnpikes were established. They were based on pre-existing roads with few local diversions [18]. The turnpikes were then substituted by single carriageways, dual carriageways and, finally, motorways [21].…”

Section: Introductionmentioning

confidence: 99%

Are motorways rational from slime mould's point of view?

Adamatzky

Akl

Alonso‐Sanz

et al. 2013

International Journal of Parallel, Emergent and Distributed Sys

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We analyse the results of our experimental laboratory approximation of motorways networks with slime mould Physarum polycephalum. Motorway networks of fourteen geographical areas are considered: Australia, Africa, Belgium, Brazil, Canada, China, Germany, Iberia, Italy, Malaysia, Mexico, The Netherlands, UK, USA. For each geographical entity we represented major urban areas by oat flakes and inoculated the slime mould in a capital. After slime mould spanned all urban areas with a network of its protoplasmic tubes we extracted a generalised Physarum graph from the network and compared the graphs with an abstract motorway graph using most common measures. The measures employed are the number of independent cycles, cohesion, shortest paths lengths, diameter, the Harary index and the Randic index. We obtained a series of intriguing results, and found that the slime mould approximates best of all the motorway graphs of Belgium, Canada and China, and that for all entities studied the best match between Physarum and motorway graphs is detected by the Randic index (molecular branching index)

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Neighbors, networks, and the development of transport systems: Explaining the diffusion of turnpike trusts in eighteenth-century England

Cited by 18 publications

References 29 publications

Networks of action and events over time. A multilevel discrete-time event history model for longitudinal network data

Networks of action and events over time. A multilevel discrete-time event history model for longitudinal network data

Inter-Modal Network Externalities and Transport Development: Evidence from Roads, Canals, and Ports During the English Industrial Revolution

Are motorways rational from slime mould's point of view?

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