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Macro environmental factors - NETWORKS

A T 10 questions Updated 19 Feb 2016

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  1. 1Network interventions are based on the [blank_start]diffusion[blank_end] of [blank_start]innovations[blank_end] theory ([blank_start]Rogers[blank_end]), which explains how new [blank_start]ideas[blank_end] and practices [blank_start]spread[blank_end] within and between communities.
    1. Adiffusion
    2. Binnovations
    3. CRogers
    4. Dideas
    5. Espread
  2. 2A social network is a [blank_start]finite[blank_end] set or sets of actors and the relation or relations [blank_start]defined[blank_end] on them.

    [blank_start]Norms[blank_end] spread in peer networks because as individuals we want to search for our own [blank_start]identity[blank_end], i.e. who am I? how should I act? how should I feel?
    - [blank_start]build[blank_end] relationships
    - [blank_start]belong[blank_end] to a group
    1. Afinite
    2. Bdefined
    3. CNorms
    4. Didentity
    5. Ebuild
    6. Fbelong
  3. 3How norms spread in a network is influenced by
    - [blank_start]dynamic[blank_end] processes
    - [blank_start]positioning[blank_end] in the network
    - [blank_start]network[blank_end]-level network [blank_start]characteristics[blank_end]
    1. Adynamic
    2. Bpositioning
    3. Cnetwork
    4. Dcharacteristics
  4. 4[blank_start]DYNAMIC[blank_end] PROCESSES AT PLAY IN A NETWORK ARE:

    [blank_start]influence[blank_end] = peers set an example behaviour for others to follow, or put pressure on them to follow. The other peers wish to assimilate.

    [blank_start]selection[blank_end] - people build relationships/select friends because the other person is doing a behaviour similar to them. People end relationships because the other person is not doing a behaviour similar to them.

    [blank_start]confounding[blank_end] - other factors - people change behaviour just spontaneously, or they are influenced by the media or parents, or other influences outside the network.
    1. Ainfluence
    2. BDYNAMIC
    3. Cselection
    4. Dconfounding
  5. 5Types of position in the network are
    - [blank_start]Isol[blank_end]ates
    - [blank_start]Bridg[blank_end]es
    - [blank_start]Central[blank_end] member
    1. AIsol
    2. BBridg
    3. CCentral
  6. 6NETWORK-LEVEL NETWORK CHARACTERISTICS have an impact on the spread of social norms

    i.e. how [blank_start]dense[blank_end] is the network? Density = number of ties divided by possible number of ties in the network

    how [blank_start]centralised[blank_end]/decentralised is the network? i.e. mainly focused on one person or one set of people?

    degree of [blank_start]reciprocity[blank_end] in the network - are network ties reciprocal?

    degree of [blank_start]transitivity[blank_end] of the network (divides network into triads and measures the nature of the interactions within the triads)
    1. Adense
    2. Bcentralised
    3. Creciprocity
    4. Dtransitivity
  7. 7Selecting what type of network intervention depends on:

    [blank_start]Type[blank_end] of network: friendships, discussion, advice

    Overall network [blank_start]properties[blank_end]

    Type of [blank_start]behavior[blank_end] change

    [blank_start]Environmental[blank_end]/situational context
    1. AType
    2. Bproperties
    3. Cbehavior
    4. DEnvironmental
  8. 8Why would you use network based interventions?

    [blank_start]Random[blank_end] sampling often limits the kind of research questions that can be asked and studied. Random sampling [blank_start]removes[blank_end] individuals from the [blank_start]social[blank_end] context that may [blank_start]influence[blank_end] their behavior.

    Someone’s [blank_start]position[blank_end] in a network provides [blank_start]considerable[blank_end] explanatory power when trying to [blank_start]predict[blank_end] individual behavior.
    1. ARandom
    2. Bremoves
    3. Csocial
    4. Dinfluence
    5. Eposition
    6. Fconsiderable
    7. Gpredict
  9. 9Research of [blank_start]Christakis[blank_end] - “If your friends are obese, your risk of obesity is [blank_start]45[blank_end] percent higher. … If your friend’s friends are obese, your risk of obesity is [blank_start]25[blank_end] percent higher. … If your friend’s friend’s friend, someone you probably don’t even know, is obese, your risk of obesity is [blank_start]10[blank_end] percent higher. It’s only when you get to your friend’s friend’s friend’s friends that there’s no longer a relationship between that person’s body size and your own body size.”
    1. AChristakis
    2. B45
    3. C25
    4. D10
  10. 104 network intervention types

    1. Identify [blank_start]individuals[blank_end] to act as a champion - EXAMPLE ASSIST PROGRAMME

    Identify opinion leaders
    Identify bridging professionals
    Identify low-threshold change agents
    Target the network periphery

    2. [blank_start]Segmentation[blank_end] - Identify specific group to change at the same time
    Look at the core-periphery structure
    Identify the core of the organisation network
    Focus resources on the core

    3. [blank_start]Induction[blank_end] - Stimulating or forcing peer-to-peer interaction
    Use mass media campaigns to create a smoke-free buzz among youngsters.
    Network outreach: let youngsters recruit their own friends to receive an intervention together
    Respondent driven sampling (RDS) or snowball method
    Identify ‘seeds’ that recruit others to participate

    4. [blank_start]Alteration[blank_end] - Change the network by:
    Adding/deleting nodes
    Adding/deleting links between nodes
    Rewiring existing links
    1. Aindividuals
    2. BSegmentation
    3. CInduction
    4. DAlteration

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Description
macro environmental factors - networks
Author
A T
Language
English
Views
22
History
Created on 18 Oct 2015 · updated on 19 Feb 2016
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