29 Matching Annotations
  1. Nov 2017
    1. We connected two nodes (bloggers) if theybelonged to at least two common groups or one subscribedto the other.

      Do you think this would be the same for those terrorist or groups that just had or hosted website hubs rather than blog sites?

  2. Oct 2017
    1. The purpose of weighting here is to deter-mine the depth of acquaintanceship. For instance; the ac-quaintance level of individuals who graduated from thesame university is coded as 3 points, and the relation basedupon affinity is coded as 10 points

      Weighted ties = stronger relationships within the network.

    2. In this study, 80 chairmen who are the members of thesetwo conflicting groups are selected as a sample.

      The actors within the network. I don't know much background other than the article but seems the author has good reasoning for wanting to compare the two.

    3. Themost distinct feature of such ties is the fact that relationsare based on close acquaintanceship in social life

      Personal ties rather than over the internet which we learned this week as the network society

    1. First, itis not only the frequency of alters' drinking that greatly differentiatesat-risk, light, and nondrinkers' networks, but also the perceived fre-quency of marijuana use, tobacco use, and gambling. Second, thesenetwork differences in addictive behavior are not only found among in-dividuals' closest friends and family members, but among their entiresocial network, indicating that problematic drinkers may surroundthemselves not only with a few alters who use multiple addictivebehaviors, but with an extended group of alters whouse multiple addic-tive behaviors.

      Interesting findings. Perceptions of frequency of the ego's alters is an interesting analyses.

    2. “drinkingbuddies

      This is an issue in the population of student-athletes. They are more likely to engage in binge drinking research finds compared to their non-athlete peers. And I think examining this through SNA maybe an option to look into for college athletic researchers.

  3. Sep 2017
    1. efficacy and trust networks were quite similar, thus indicating these networks could be measuring the same construct

      This would mean you do not run a CFA to make constructs you are measuring are not the same like in other quant. approaches?

    2. testable hypotheses

      Do most SNA studies discussion sections do this? Where they use the SNA network they have analyzed to lead to testable hypotheses with more quantitative predictive methodological approaches?

    3. However, by using SNA, researchers are able to generate an assessment of the team that is grounded in explicitly defined actor-to-actor relationships rather than a perception of the general environment.

      Powerful tool for sport teams.

    4. That is, these two cases suggest that increases in team cohesion based on efficacy and trust should improve team perfor-mance, while increases in cohesion based on friendship and advice would negatively impact team performance.

      Practical finding that would be very useful for the coaches.

    5. Those points in time included the off-season (early August), preseason (October/November), following nonconference play or midseason (December/January), and end of season (March).

      How much more credible is a longitudinal study for SNA?

    6. the decision to include coaches and support staff in the analysis was based on the idea that the functioning of a team depends on the synthesis of all its parts—not just the players.

      I am wondering if this is just sport specific or if other organizations/work teams would think to add support staff and anyone who could impact team success would be involved in analysis?

    7. n contrast, SNA is a tool in which measures are based on explicitly defined relationships between the individual actors.

      Power of examining individual relationships creating a team.

    8. Some research indicates, however, that this triadic relationship can often be more complicated and confounding than the linear relationship these scholars described.

      It seems the authors are trying to move away from the linear model and SEM modeling and make their case for complex relationships explained by SNA.

    9. That is, a coach with knowledge of the intricacies and key relational structures within his or her team can more effectively lead the team to success.

      I am hoping to do this for our studies we have to do for class.

    10. s a result, this study uses a case to introduce and demonstrate the viability of SNA for examining team dynamics and structural cohesion.

      SNA I think has the potential to be very powerful in the sport world where team cohesion and network structures depend on success.

    11. SNA, by contrast, examines cohesion at both the individual and the group level and is interested in process and structure, individuals and the group, and also the vari-ous relationships within the group

      Great definition for what the researchers are using SNA for.

    12. e field of sport manage-ment” (p. 339)

      SNA seems to a new tool used by researchers in Sport Management, is SNA a methodology that is relatively new to anyone else's disciplines?

    13. Team Dynamics:

      This title made me think: How do the underlying psychological factors of individuals on a team and the social environment effect team cohesion?

      -What does the title make you think this article will be about?

    1. separation between basic and applied research

      I find that many social science research is blurred between basic (building knowledge) and applied (answering real world questions possibly to affect policy) since our research can have a great impact.

    2. After discussing academic capitalism both as atheory and an object of study, we provide evidence for our main argument.

      It seems the authors are trying to do a good job marrying theory and practice of research. This should help guide the readers in the author's understanding.