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Implications of power network analysis
 Social network is defined as a set of 
individuals/actors with a routine and 
established pattern of interpersonal contacts 
who can be identified as members of a 
network exchanging information, resources, 
influence, affect, or power. 
 A sociogram as the representation of a social 
network is used for this kind of analysis.
 The social network perspective assumes that social 
actors are embedded in a complex web of 
relationships. 
 Social network analysis is used to describe and 
explain social and political structures. 
 Social network analysis may be used in research in 
order to have more understanding of social 
phenomena by using network measures. 
 Social network analysis may also be helpful for 
practitioners for understanding a big picture as well 
as micro-level relationships between social actors.
 Centrality is the common individual measure of 
the status of an actor in a social network. 
 Centrality is usually measured by “degree 
centrality”, “closeness centrality”, and 
“betweenness centrality”. 
1. Degree centrality: number of links (in and out); 
2. Closeness centrality: number of link to the 
centre; 
3. Betweenness centrality: the extent to which an 
individual is between two other individual who 
are not connected to each other.
 Density: the number of links in the network in 
proportion to the number of possible links. 
 Centralization: the degree to which all 
members of the network are unequally central 
in the network.
 Yukl proposed using social network analysis as a tool 
for understanding power structure of a team or an 
organization. 
 Using this technique, power relationships between 
different actors are specified and different measures 
and relationships may be identified. 
 Moving through power network relationships may be 
helpful for identifying powerful individuals with 
different levels of various types of power. 
 In addition, different types of influence tactics may be 
proposed by understanding the power network.
 Mayo, M., Meindl, J. R., and Pastor, J. (2003). 
Shared leadership in work teams: A social 
network approach, In C. L. Pearce and J. A. 
Conger (Eds.). Shared Leadership: Reframing 
the Hows and Whys of Leadership (pp. 193- 
214). Thousand Oaks: Sage Publication.

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Social network analysis in leadership studies

  • 1. Implications of power network analysis
  • 2.  Social network is defined as a set of individuals/actors with a routine and established pattern of interpersonal contacts who can be identified as members of a network exchanging information, resources, influence, affect, or power.  A sociogram as the representation of a social network is used for this kind of analysis.
  • 3.  The social network perspective assumes that social actors are embedded in a complex web of relationships.  Social network analysis is used to describe and explain social and political structures.  Social network analysis may be used in research in order to have more understanding of social phenomena by using network measures.  Social network analysis may also be helpful for practitioners for understanding a big picture as well as micro-level relationships between social actors.
  • 4.  Centrality is the common individual measure of the status of an actor in a social network.  Centrality is usually measured by “degree centrality”, “closeness centrality”, and “betweenness centrality”. 1. Degree centrality: number of links (in and out); 2. Closeness centrality: number of link to the centre; 3. Betweenness centrality: the extent to which an individual is between two other individual who are not connected to each other.
  • 5.
  • 6.  Density: the number of links in the network in proportion to the number of possible links.  Centralization: the degree to which all members of the network are unequally central in the network.
  • 7.  Yukl proposed using social network analysis as a tool for understanding power structure of a team or an organization.  Using this technique, power relationships between different actors are specified and different measures and relationships may be identified.  Moving through power network relationships may be helpful for identifying powerful individuals with different levels of various types of power.  In addition, different types of influence tactics may be proposed by understanding the power network.
  • 8.  Mayo, M., Meindl, J. R., and Pastor, J. (2003). Shared leadership in work teams: A social network approach, In C. L. Pearce and J. A. Conger (Eds.). Shared Leadership: Reframing the Hows and Whys of Leadership (pp. 193- 214). Thousand Oaks: Sage Publication.