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Home For Researchers Research Projects Social Network Analysis: Mining the X-Culture Data from a Social Networks Analysis Perspective

Social Network Analysis: Mining the X-Culture Data from a Social Networks Analysis Perspective

Research Projects

This study is an exploratory effort to discover networks, connections, and connection asymmetries in the X-Culture data.

Several papers are expected to be developed based on this exploration, but for now the research team is working on studying the data and discovering patterns and connections.

Specifically, our research interest is to mine the X-Culture data from a social networks perspective.

The plan is to first look at intra-team network data for weighed and directed ties among team members:

  • patterns of communications between team members;
  • peer evaluations ;
  • exclusion votes.

Beyond this network data, student data, team data, company data, and university data will also be exploited for contextual information, such as homophily of team members, cultural distance to company served, team performance.

Subsequently, we will explore 2-mode networks at various levels of analysis (including hybrid dyads involving team member, knowledge, company, report chapter, country of origin, of residence, of study.

At this stage, we have no interest in conducting teacher-related SNA, though this might bring insight into teacher performance (for instance). That said, if s.o. is interested in this or another SNA approach, we may offer to assist if solicited.

 

The project is now structured in 3 parallel streams :

  • Signed and weighted ties: structural analysis reflection aiming to design and develop meaningful network metrics for signed and weighed ties where network metrics designed for positive ties lose worth ;
  • SNA mining: structural consequences and antecedents of GVT individual member and team indicators, as well as mediating and moderating effects ;
  • Shared leadership: social network analysis of shared leadership dynamics and peer-expressed and peer-perceived gratitude within GVTs .

 

Researchers:

Lead Researcher:
Dr. Marc Idelson, Research Associate (HEC Paris) & Scientific Advisory Committee Chair (OWI Technologies) [all streams](marc@idelson.net)

Collaborators:

Dr. Reccia N. Charles, Associate Professor (St George’s University) [SNA mining]

Dr. Lynda Jiwen Song, Associate Professor (Renmin University of China) [Shared leadership]

Dr. Ana Maria dos Santos Costa Soares, Assistant Professor (University of Minho) [SNA mining]

Dr. Anna Andreevna Svirina, Associate Professor (Kazan National Research Technical University) [SNA mining]

Dr. Vasyl Taras, Associate Professor (University of North Carolina at Greensboro) [all streams]

Yue Wang, PhD Student (Renmin University of China) [Shared leadership]

Dr. Yuki Yasuda, Professor (Kansai University) [Signed and weighted ties]

Dr. Jinlong Zhu, Assistant Professor (Renmin University of China) [Shared leadership]