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Urban Networks
Urban networks refer to the patterns of relationships that exist within and among urban settings and provide structure to social, economic, political, and other activities. It is, therefore, a broad and inclusive concept that has been addressed from a range of viewpoints and academic disciplines including sociology, geography, and anthropology. The linkages that constitute urban networks generally involve the exchange of some resource, but there is great variety in the specific forms and functions of these linkages. An urban network linkage may involve exchanges that take human, material, or informational forms, such as migration, commodities, and e-mail, respectively. Similarly, such exchanges may serve economic, political, cultural, or social functions, including the respective areas of financial services, diplomacy, sister cities, and community attachment. Despite the variety that characterizes urban networks, inquiry in this area can be divided into three general categories based on the level and unit of analysis.
Micro-urban networks focus on networks among entities within a city and thus view cities as geographically bounded collections of intersecting and interdependent networks. These networks may be comprised of individuals or organizations and focus on issues such as how relationships among neighbors build a sense of community, or they may include inanimate objects like streets or power lines and focus on issues such as the efficiency of transportation within cities. The defining feature of micro-urban networks is their use of the urban context as a setting within which the relationships of interest occur.
Macro-urban networks, in contrast, focus on networks among cities themselves and thus view cities as the entities that constitute a national or global network. These networks may focus on a number of intercity exchanges, including trade or tourism, and often are used to identify or rank the most dominant or powerful cities. Between these two extremes—micro-level networks within cities and macro-level networks between cities—a meso-level approach to urban networks has emerged that views clusters of cities as a type of network. Such meso-urban networks examine how metropolitan areas are held together through linkages like those illustrated by commuting patterns.
Micro-Urban Networks: Within Cities
A central challenge for urban researchers has been specifying the causal connection between the aggregate features of cities, such as neighborhoods and segregation, and the individual characteristics of urban dwellers, such as lifestyles and demographics. Micro-urban networks—the patterns of relationships that exist among people and objects in cities—have been identified as the missing link that bridges these two urban phenomena. This approach has a long history, originating with Georg Simmel's 1903 essay “The Metropolis and Mental Life,” in which he aimed to link the pace and overstimulation of modern cities to a blasé and reserved attitude by pointing to the restructuring of personal relationships (for example, as instrumental rather than intimate) necessitated by urban life. Since this early application, micro-urban networks have been examined in a wide range of contexts using several different empirical methodologies.
Many researchers have examined micro-urban networks that focus on the relationships among people living in cities, seeking to understand how broad urban patterns and processes are the consequence of these relationships. Since Simmel's work at the beginning of the 20th century, many have hypothesized the decline of community in cities: as cities grow larger, individuals' sense of community and belonging declines. The influence of city size on one's personal social networks clarifies why this may happen. A person living in a large city may know and interact with large numbers of others, but with a fixed amount of time in each day. This increase in the size of the social network (i.e., quantity) requires a corresponding decrease in the depth and duration (i.e., quality) of each of those relationships. With the advanced technological infrastructures that cities provide, many of these relationships have shifted from face-to-face interactions on the street to virtual interactions on the Internet, leading some to ask whether this transition will usher another wave of community decline or rather if the ease of maintaining electronically mediated relationships will permit greater intimacy and promote the formation of social capital. Closely related to these issues is the role of urban personal networks in facilitating place attachment, which refers to individuals' emotional connection to a particular location, such as neighborhood pride. Through repeated interactions with the same others, a merely physical space can become a socially relevant place, around which residents structure their daily lives and invest their economic and emotional resources.
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- History of Social Networking
- American Revolutionary War
- Ancient China
- Ancient Egypt
- Ancient Greece
- Ancient India
- Ancient Rome
- Civil War, U.S.
- Colonial America
- Earliest Civilizations
- History of Social Networks 1865–1899
- History of Social Networks 1900–1929
- History of Social Networks 1930–1940
- History of Social Networks 1941–1945
- History of Social Networks 1946–1959
- History of Social Networks 1960–1975
- History of Social Networks 1976–1999
- History of Social Networks 2000–Present
- Industrial Revolution
- Internet History and Networks
- Middle Ages
- Native Americans
- Renaissance
- World-Systems Networks
- Local U.S. Social Networks by State
- Alabama
- Alaska
- Arizona
- Arkansas
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- Connecticut
- Delaware
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- Georgia (State)
- Hawaii
- Idaho
- Illinois
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- Texas
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- Virginia
- Washington
- West Virginia
- Wisconsin
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- Privacy and Rights in Social Networks
- Social Network Analysis and Issues
- Affiliation Networks
- Agent-Based Models
- Bipartite networks
- Blockmodeling
- Cohesion Networks
- Complexity
- Cooperation/Coordination
- Dating
- Egocentric Networks
- Embeddedness
- Exchange Networks
- Exponential Randon Graph Models (ERGM/p*)
- Graph Theory
- Homophily
- Longitudinal Networks
- Multiplexed Networks
- Network Analysis Software
- Network Evolution
- Network Indicators
- Network Simulations
- Network Theory
- Network Visualization
- Paths/Walks/Cycles
- Pornography Networks
- Power Law Networks
- Preferential Attachment
- Prominence
- Proximity/Space
- Q-Analysis
- Random Graph Models
- Reciprocity
- Self-Organizing Networks
- Semantic Networks
- Small World
- Social Capital
- Social Influence
- Social Support
- Stalking
- Structural Equivalence
- Structural Holes
- Structural Theory
- Tie Length
- Tie Strength
- Tie Utility
- Tipping Point
- Triads
- Trust and Networks
- Two-Mode Networks
- Word Networks
- Social Networking around the World
- Afghanistan
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- Angola
- Argentina
- Armenia
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- Austria
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- Belgium
- Benin
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- Cambodia
- Cameroon
- Canada
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- Chad, Republic of
- Chile
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- Colombia
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- Costa Rica
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- Georgia (Country)
- Germany
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- Italy
- Japan
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- Mozambique
- Myanmar
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- Netherlands
- New Zealand
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- Niger
- Nigeria
- North Korea
- Norway
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- Papua New Guinea
- Paraguay
- Peru
- Philippines
- Poland
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- Rwanda
- Saudi Arabia
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- Uganda
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- United Kingdom
- United States
- Uzbekistan
- Venezuela
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- Zambia
- Zimbabwe
- Social Networking Communities
- Adults-Only Communities
- Artists Communities
- Blogs and Networks
- Books Communities
- Classmates
- College Students Communities
- CouchSurfing
- Deviant Communities
- Elitist Communities
- Games Communities
- Investing Communities
- Local Political Activism Communities
- Mothers Communities
- Movie and TV Series Communities
- Music Communities
- MySpace
- Newsgroups
- People with Disabilities Communities
- Religious Communities
- Scientific Communities
- Teen Communities
- Wikipedia
- Yahoo!
- YouTube and Video Exchange
- Social Networking Organizations
- AARP (American Association of Retired Persons)
- Alcoholics Anonymous (AA)
- American Civil Liberties Union (ACLU)
- Charity Organizations
- Conservative Organizations
- Government Networks
- Greenpeace
- International Network for Social Network Analysis (INSNA)
- Liberal Organizations
- National Association for the Advancement of Colored People (NAACP)
- Neighborhood Organizations
- Nongovernmental Organizations (NGOs)
- Unions
- United Nations
- United Service Organizations (USO)
- Social Science of Networking
- Alumni Networks
- Anthropological Networks
- Bibliometrics/Citation Networks
- Cancer Networks
- Children's Networks
- Cognitive Networks
- Communication Networks
- Conspiracy Theory and Gossip Networks
- Corporate Networking
- Diet Networks
- Diffusion/Contagion Networks
- Economic Networks
- Educational Networks
- Employment Networks
- Entrepreneurial Networks
- Environmental Activism
- Ethnicity and Networks
- Fan Networks
- Fraternities
- Game Theory and Networks
- Gangs
- Gender and Networks
- Health Networks
- Hobby Networks
- Human Rights Networks
- Infectious Disease Networks
- Innovation Networks
- Interdepartmental Networks
- International Networks
- Interorganizational/Interlocks
- Kinship Networks
- Knowledge Networks
- Leadership Networks
- Letter-Writing
- Military Networks
- Neighborhood Organizations
- Network Psychology
- Network Visualization
- Organizational Networks
- Policy Networks
- Religious Communities
- Scholar Networks
- Senior Networks
- Small Group Networks
- Sororities
- Sports Networks
- Telecommunication Networks
- Twelve-Step Programs
- Urban Networks
- War and Networks
- Women's Networks
- Technology and Social Networking
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