Entry
Reader's guide
Entries A-Z
Subject index
Tipping Point
The major idea underlying the concept in the term tipping point, as it relates to the study of social networks, is that no matter how novel or groundbreaking an idea, product, social movement, television show, and/or advertisement, they all must reach the “right” people in order to diffuse throughout society. Although Malcolm Gladwell, author of The Tipping Point (2000), incorporates Aristotle's ideas of logos (the inherent logic embedded in a message) and pathos (the emotional appeal that a message might have on its intended audience) into his overarching thesis, it is ethos (the nature of the source) that provides explanation of why certain “epidemics” spread. The examples provided throughout the text are predicated on the previous scholarship of Elihu Katz and Paul Lazarsfeld as well as Everett Rogers. Katz and Lazarsfeld's model of communication argued that messages are not communicated directly between a source and a receiver. Rather, the communication process often involves a third party, to whom they refer as an “opinion leader,” who acts as a communicative conduit between two parties. Katz and Lazarsfeld called this the “two-step flow model.” In other words, communication occurs between source and receiver, although it includes a social conduit.
Rogers's diffusion model, which graphically depicts whether and how efficiently innovations spread throughout society, argues that certain members of society become more influential in “spreading the word” and having those in the general public subsequently adopt something new. For example, when a new technology is introduced to the mass public, the innovators adopt this novelty first, then become the opinion leaders (or social influencers) for others. Gladwell thus predicates his axioms on the contributions of these three communication scholars. Tom Valente's work also provides an important contribution to any discussion dealing with the link between diffusion and social networks, as he, too, argues that contagion (at least partially) is a function of social/network influence.
Throughout the course of The Tipping Point, Gladwell likens the spread of ideas, products, social movements, and the like to an epidemic, which can aptly be defined as a disease occurring suddenly, and perhaps without warning, which comes to affect a large number of individuals within a given population. As such, Gladwell speaks about such mass epidemics as the adoption of Hush Puppy shoes by American consumers, the interest in the children's television show Sesame Street by American families, the cleanup of the subway system in Manhattan, and the suicide attempts by teenagers in Micronesia—and how social beings, embedded in social networks, have the power to influence these and other epidemics.
Gladwell notes Sesame Street as an example of a show that is carefully engineered to “infect” preschool children with literacy.

The Connector, the Maven, and the Salesman
When discussing the law of the few, Gladwell argues that there are three important roles that must be adopted if any social movement is to occur: the connector, the maven, and the salesman. The connector is that social being who, according to social network theory, has a high degree of centrality or, using more ordinary language, has many social connections. The maven is that social being who is well informed for one reason or another and, as such, has the power of influence. The salesman is neither the individual who knows the most people nor the person who has knowledge. Rather, this individual is the one responsible for getting others to adopt a new idea, product, or other innovation. It is a rather rudimentary process to pinpoint these individuals in instances where social influence was at the very heart of the decision-making process. For example, assume that the American Diabetes Association (ADA) is interested in getting donations that would ultimately surpass $1 million by the end of 2010. Individuals responsible for raising the funds ask the critical questions: can we do this and who are the right people? In other words, how can this donation process tip? According to Gladwell, three individuals, each of whom can come to socially influence others, would be necessary. First, the ADA would need to hire connectors: those individuals who not only know the most people, but also know the right people. That is, these connectors would be able to increase donations because of both the quantity and quality of their social network ties. Second, the ADA would need to hire mavens: those individuals who can be informative about how the organization will utilize the funds to benefit those with the disease as well as those who have funded the new endeavors. Third, the ADA would need to hire salespeople: those individuals who can, based on rhetorical theories of communication and persuasion, get those interested (and even perhaps those not interested) to donate funds. From a social network perspective, for any idea, product, movement, or concept to “tip,” there must be an influential connector, maven, and salesperson, and all must work together.
...
- 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
- Loading...
Get a 30 day FREE TRIAL
-
Watch videos from a variety of sources bringing classroom topics to life
-
Read modern, diverse business cases
-
Explore hundreds of books and reference titles
Sage Recommends
We found other relevant content for you on other Sage platforms.
Have you created a personal profile? Login or create a profile so that you can save clips, playlists and searches