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Network Theory
Networks are a pertinent concept to contemporary society; communication, transportation, and other forms of connectivity among people and goods, as well as knowledge and other expressions of human creativity, appear to be organized according to principles that have been explored by network theory. The development of a comprehensive network theory implied several interdisciplinary digressions and cross-fertilization of concepts and methods from mathematics to anthropology and from physics to sociology along two centuries. The apparent nomadic inclination of network studies induced scientists in a range of disciplines to make sense of important social phenomena and orient their work toward a common theoretical perspective. Several scholars now agree that the study of networks, including the exploration of their variety and dynamics, is an important key to understanding the evolution and stability of physical and social structures. Network theory has its origins in graph theory and has developed in different areas of the social and natural sciences and led to current trends in theoretical and empirical network research.
The Idea of Network
The idea that connections among actors or components of a set are relevant for understanding its form and its properties has a long history. In the 18th century, the Swiss-born mathematician Leonhard Euler developed a new area of research involving the logic exploration and calculus of geometric graphics; his work and the subsequent studies of other mathematicians pose the bases for graph theory, the basic methodological references for the study of networks. Graph theory uses a specific terminology to describe networks (such as the term node to indicate the endpoint of a connection and the term line to represent the connection itself) and elaborated several principles to define networks properties. For example, a network characterized by a Euler trial offers the opportunity to complete a cycle of all the connected lines without passing more than one time from each node.
The mathematical study of networks, however, was initially based on abstract calculus and had limited empirical applications; only in the 20th century, with the spread of communication, transportation, and transmission systems, was graph theory successfully put into service of the physical and social sciences. Historically, three main phases of development of network research can be drawn. In the first phase, different disciplines involved in the area such as mathematics and social sciences autonomously develop a theoretical paradigm to study connections and social relations. In the second, historical phase graph theory is integrated in social studies with relevant contributions from mathematics and statistics, and the study of interaction networks establishes itself as a formal framework for thinking about the social world. Contemporary network theory is influenced by physics and computing sciences and employs theoretical concepts and methodological tools from social network analysis for the study of large networks such as the Internet, its evolution, and the socioeconomic phenomena generated by technological innovation. Advanced theoretical research concentrates on the formalization of properties of noncasual networks and dynamical evolution of complex networks with a specific concern in the area of computational biology and epidemiology.
The Origins
At the end of the 19th century, an eclectic German sociologist, Georg Simmel, was intrigued by the rapid social and technological changes that were transforming modern society. He observed that individuals were increasingly involved in relations of different sorts, from economic to affective and communicative relations, and that these contacts originated only partially from the preferences of the person. Participation in social circles, according to Simmel, implied rules and opportunities; the outcome of relations, though, was influenced by formal aspects such as the number of participants to the relation, the positivity/negativity of these relations, and the presence of groups of similar individuals (on the bases of age, gender, or social class and ethnic origin). He defined formal sets of relations as “forms” and predicted that the social sciences would investigate connections among individuals in order to discover the hidden properties that influence the formation and the transformation of social circles. Simmel's analysis, however, lacked formalization, and its theoretical relevance was not completely acknowledged until the middle of the 20th century.
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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
- California
- Colorado
- Connecticut
- Delaware
- District of Columbia
- Florida
- Georgia (State)
- Hawaii
- Idaho
- Illinois
- Indiana
- Iowa
- Kansas
- Kentucky
- Louisiana
- Maine
- Maryland
- Massachusetts
- Michigan
- Minnesota
- Mississippi
- Missouri
- Montana
- Nebraska
- Nevada
- New Hampshire
- New Jersey
- New Mexico
- New York
- North Carolina
- North Dakota
- Ohio
- Oklahoma
- Oregon
- Pennsylvania
- Rhode Island
- South Carolina
- South Dakota
- Tennessee
- Texas
- Utah
- Vermont
- Virginia
- Washington
- West Virginia
- Wisconsin
- Wyoming
- 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
- Algeria
- Angola
- Argentina
- Armenia
- Australia
- Austria
- Azerbaijan
- Bangladesh
- Belarus
- Belgium
- Benin
- Bolivia
- Brazil
- Bulgaria
- Burkina Faso
- Burundi
- Côte d'Ivoire
- Cambodia
- Cameroon
- Canada
- Central African Republic
- Chad, Republic of
- Chile
- China
- Colombia
- Congo, Democratic Republic of the
- Costa Rica
- Croatia
- Cuba
- Czech Republic
- Denmark
- Dominican Republic
- Ecuador
- Egypt
- El Salvador
- Eritrea
- Estonia
- Ethiopia
- Finland
- France
- Georgia (Country)
- Germany
- Ghana
- Greece
- Guatemala
- Guinea
- Haiti
- Honduras
- Hungary
- India
- Indonesia
- Iran
- Iraq
- Ireland
- Israel
- Italy
- Japan
- Jordan
- Kazakhstan
- Kenya
- Kurdistan
- Kyrgyzstan
- Laos
- Latvia
- Libya
- Lithuania
- Malawi
- Malaysia
- Mali
- Mexico
- Morocco
- Mozambique
- Myanmar
- Nepal
- Netherlands
- New Zealand
- Nicaragua
- Niger
- Nigeria
- North Korea
- Norway
- Pakistan
- Papua New Guinea
- Paraguay
- Peru
- Philippines
- Poland
- Portugal
- Romania
- Russia
- Rwanda
- Saudi Arabia
- Senegal
- Serbia
- Sierra Leone
- Singapore
- Slovakia
- Somalia
- South Africa
- South Korea
- Spain
- Sri Lanka
- Sudan
- Sweden
- Switzerland
- Syria
- Tajikistan
- Tanzania
- Thailand
- Togo
- Tunisia
- Turkey
- Turkmenistan
- Uganda
- Ukraine
- United Arab Emirates
- United Kingdom
- United States
- Uzbekistan
- Venezuela
- Vietnam
- Yemen
- 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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