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Sunbelt XXXI International Network for Social Network ... - INSNA

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Semantic Analysis Of Gatekeepers In Collaborative E‐learning Environments.Stuetzer, Cathleen M.; Carley, Kathleen M.; Koehler, Thomas; Thiem, Gerhard; Diesner, JanaWords and <strong>Network</strong>s ‐ Roles, Health, MethodsCommunication <strong>Network</strong>s, Communities Of Practice, Semantic <strong>Network</strong>s, Role Theory, Learning Commmunities, GatekeepersFRI.PM1The analysis of social roles in social structures has a long tradition in the social sciences. Especially the structural positions of social actors are crucial <strong>for</strong>studying processes of innovation and diffusion. Prior research has shown that in digital knowledge networks, gatekeepers acquire crucial positions by <strong>for</strong>mingdynamic chains of flow in the process of knowledge transfer. There<strong>for</strong>e it is important to be able to detect and describe the function of gatekeepers <strong>for</strong> digitallearning processes. We present a case study in which we explore the role of gatekeepers in <strong>for</strong>mal and in<strong>for</strong>mal online learning communities through acombination of social network analysis and relational text analysis. Our data come from e‐learning discussion boards that are actively used by elevenuniversities located in the state of Saxony, Germany. In order to examine the flow of in<strong>for</strong>mation through the network of learners and educators and to analyzethe network data, we use the network text analysis tool AutoMap and the network analysis tool ORA. We extract semantic networks from the data, andcombine them with social network data. By per<strong>for</strong>ming structural analysis on the resulting relational data we identify the roles of gatekeepers in this e‐learningenvironment as well as the relationship between semantic network structure and in<strong>for</strong>mation flow processes. With this research we ultimately aim tocontribute to a better understanding of the relationship between theories about socio‐technical networks, communication, and human learning.Sequencing In In<strong>for</strong>mation Dissemination In Scholarly <strong>Network</strong>sMo, Guang Ying; Dimitrova, Dimitrina; Gruzd, Anatoliy; Hayat, Zack; Mok, Diana; Wellman, BarryAcademic and Scientific <strong>Network</strong>sStructure, media use, in<strong>for</strong>mation dissemination, SequenceFRI.AM2This study investigates social networks from an original perspective of sequence, which is an important dimension of social structuring time. Althoughin<strong>for</strong>mation and communication technologies (ICTs) enable in<strong>for</strong>mation dissemination to numerous receivers simultaneously, people do not necessarily sendout messages to all their contacts at the same time. Instead, they choose different media at different times to pass the in<strong>for</strong>mation to different people. Thesequence of the contacts is a result of the actors’ process of determining on the primary and secondary contacts within social networks. This study investigateshow hierarchical structure in social networks influence actor’s sequencing of in<strong>for</strong>mation dissemination in scholarly networks. To answer this question, I studyin<strong>for</strong>mation dissemination in scholarly networks within the Graphics, Animation and New Media (GRAND) <strong>Network</strong> of Centres of Excellence. Interviews wereconducted with 30 professors in GRAND to understand their sequences in providing in<strong>for</strong>mation within their projects. To find the relationship between socialstructure and sequencing process, I asked interviewees how they contact collaborators under three scenarios: important / non‐urgent, urgent, and routine.Preliminary findings show (1) the stronger the strength of ties, the more prioritized they are in the sequence; (2) <strong>for</strong>mal position in the networks is related toawareness of sequencing; (3) the awareness of network members’ <strong>for</strong>mal positions and personal preference is related to the development of norms ofsequencing. Providing a new perspective <strong>for</strong> social science research, the findings of this study contribute to a further understanding of the <strong>for</strong>mation of socialnorms in social networks.

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