Understanding Community Ecology through Network TheoryAnalysis J Alison

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Understanding Community Ecology through Network Theory/Analysis J. Alison Bryant Department of Telecommunications Indiana University,

Understanding Community Ecology through Network Theory/Analysis J. Alison Bryant Department of Telecommunications Indiana University, Bloomington 8 November 2004

Four Needs in Organizational Theory 1. to understand organizational evolution from the level of

Four Needs in Organizational Theory 1. to understand organizational evolution from the level of the community (e. g. , Aldrich, 1999; Astley, 1985; Baum, 1996; G. R. Carroll & Hannan, 1999; Di. Maggio, 1994; Ruef, 2000); 2. to more systematically understand the complex relationships within the community (Baum, 1996); 3. to incorporate network analysis in the study of community ecology (Di. Maggio, 1994); and 4. advance our understanding of organization by constructing network theories of organization (Salancik, 1995)

The coevolution of an organizational community is the evolution of the community’s network structure

The coevolution of an organizational community is the evolution of the community’s network structure of interactions/relationships

ENVIRONMENT COMMUNITY Thingy 1 Gadget A Thingy 2 Gadget B Thingy 3 ORGANIZATION Gadget

ENVIRONMENT COMMUNITY Thingy 1 Gadget A Thingy 2 Gadget B Thingy 3 ORGANIZATION Gadget C Widget X Widget Y Widget Z POPULATION

Community Ecology Basics • Subsumes population ecology and bridges to environment – coevolution of

Community Ecology Basics • Subsumes population ecology and bridges to environment – coevolution of populations of organizations • Incorporates punctuated equilibrium model of change (Tushman & Romanelli, 1985) • Open Environmental Space • Symbiosis and Commensalism –symbiotic relationship (+, +); –commensalistic relationships: • full mutualism (+, +) • partial mutualism (+, 0) • neutrality (0, 0) • predatory competition (+, -) • partial competition (-, 0) • full competition (-, -) • The purpose of the community is to buffer populations from the environment. (Hawley, 1950; 1982; Barnett, 1994)

Community Ecology through Network Theory/Analysis • The whole, not just the part • The

Community Ecology through Network Theory/Analysis • The whole, not just the part • The structure of the network can elucidate the current “fitness” [or “effectiveness”] of the community? • Can look @ how structures of relationships overtime enable collective, as well as individual, interests • Better able to deal with multiple types of relationships

Networks Perspective on Community Ecology • The creation, maintenance, and dissolution of relationships Symbiosis

Networks Perspective on Community Ecology • The creation, maintenance, and dissolution of relationships Symbiosis and Commensalism within the community (network) is the key mechanism by which communities emerge, evolve, and collapse – –symbiotic relationship (+, +); ∆ in network structure explains–∆ in community fitness commensalistic • Articulation of community ecology concepts in network relationships: terms: –Variation, Selection, & Retention • full mutualism (+, +) • partial mutualism (+, 0) –Density Dependence –Open Environmental Space • neutrality (0, 0) –Punctuated Equilibrium • predatory competition (+, -) –Symbiotic and Commensalistic Relationships • partial competition (-, 0) • full competition (-, -) • An “effective” network will buffer populations from the environment.

Phases of Community Coevolution Emergence Maintenance Self-Sufficiency Transformation Dissolution

Phases of Community Coevolution Emergence Maintenance Self-Sufficiency Transformation Dissolution

An example…

An example…

The Children’s Television Community Who? When? Where? Educational Content Creators Entertainment Content Creators Content

The Children’s Television Community Who? When? Where? Educational Content Creators Entertainment Content Creators Content Programmers Toy Companies Advertisers Governmental Bodies Advocacy Groups Philanthropic Organizations 1953 -2002 United States How? & Why?

ENVIRONMENT COMMUNITY Governmental Bodies Content Programmers ORGANIZATION Educational Content Creators POPULATION

ENVIRONMENT COMMUNITY Governmental Bodies Content Programmers ORGANIZATION Educational Content Creators POPULATION

A Very Brief History of Children’s TV 1940 s 1950 s 1960 s 1970

A Very Brief History of Children’s TV 1940 s 1950 s 1960 s 1970 s 1980 s 1990 s 2000 s

Methodology Data Collection: 1. In-depth Interviews 2. Network Data Questionnaire 3. Historical Records Data

Methodology Data Collection: 1. In-depth Interviews 2. Network Data Questionnaire 3. Historical Records Data Coding: Participants: 20 key players in each population over the past 50 years, e. g. , Creators of Sesame Street and Children’s Television Workshop 560 Network Ties (10 Time Periods, 8 x 8 Network Matrices) Dir. of Research, Viacom Media/former Dir. of Research, Nick Jr. /Nickelodeon President, Mediascope/former VP for Programming, ABC Family & Fox Family Key Environmental Events Founder, Action for Children’s Television Former Director of Research, Children’s Television Workshop Director, Center for Media Education President, DIC Entertainment

Educational Content Creators Entertainment Content Creators Content Programmers Toy Tie-In Companies Advertisers Governmental Bodies

Educational Content Creators Entertainment Content Creators Content Programmers Toy Tie-In Companies Advertisers Governmental Bodies Advocacy Groups Philanthropic Organizations Educational Content Creators relationship to Entertainment Content Creators relationship to Governmental Bodies relationship to Advocacy Groups relationship to Content Programmers relationship to Toy Tie-In Companies relationship to Advertisers relationship to Philanthropic Organizations relationship to

Environmental Events in the History of the Children’s TV Community Public Broadcasting Act of

Environmental Events in the History of the Children’s TV Community Public Broadcasting Act of 1967 1963 -1967 Penetration of Cable 1983 -1987 Children’s Television Act of 1990 1988 -1992 Three-Hour Rule (Addendum to CTA in 1996) 1993 -1997

Network Evolution

Network Evolution

Limitations/Future Directions Limitations: Data Collection • One case study • Network Data Questionnaire •

Limitations/Future Directions Limitations: Data Collection • One case study • Network Data Questionnaire • Macro-level Events Data Analysis • Small networks • Need to use dynamic network analysis Future Directions: • Further data collection (children’s media community and other communities) • More multilevel, emergent analysis