Contingencies of Self-Worth and Social-Networking-Site Behavior

Social-networking sites like Facebook enable people to share a range of personal information with expansive groups of "friends." With the growing popularity of media sharing online, many questions remain regarding antecedent conditions for this behavior. Contingencies of self-worth afford a more nuanced approach to variable traits that affect self-esteem, and may help explain online behavior. A total of 311 participants completed an online survey measuring such contingencies and typical behaviors on Facebook. First, exploratory factor analyses revealed an underlying structure to the seven dimensions of self-worth. Public-based contingencies explained online photo sharing (beta = 0.158, p < 0.01), while private-based contingencies demonstrated a negative relationship with time online (beta = -0.186, p < 0.001). Finally, the appearance contingency for self-worth had the strongest relationship with the intensity of online photo sharing (beta = 0.242), although no relationship was evident for time spent managing profiles.Radio-Television-Fil

Introduction to Network Analysis of Digital and Social Media Minitrack

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FLOCK THEORY: COOPERATION AND DECENTRALIZATION IN COMMUNICATION NETWORKS

Research has shown that decentralized organizations and groups perform better and have more satisfied members than centralized ones. Further, decentralized self-organizing groups are particularly superior when solving complex problems. Despite mounting research in support of decentralization, the means of how to foster and maintain a decentralized, coordinated group remains a particular problem for organizations. The current line of research proposes a theory of decentralized organizational communication, flock theory, and conducts preliminary tests of the theory. Grounded in literature from social networks, flock theory represents a theoretical model for the decentralized evolution of communicative systems. The flock model is then extended to integrate roadmap based flocking, bipartite networks, and findings from small world research to create a theory of cooperation, coordination, and navigation within decentralized communication networks. Empirical illustrations of flock theory are conducted via two studies on two different research-based organizations, as research organizations focus on complex problem solving and coordination of knowledge. Findings provide initial support for flock theory, confirm parallel research on decentralization, and indicate that research-based organizations may be different from traditional corporate organizations in several ways

A unified framework for multi-level analysis of distributed learning.

Learning and knowledge creation is often distributed across multiple media and sites in networked environments. Traces of such activity may be fragmented across multiple logs and may not match analytic needs. As a result, the coherence of distributed interaction and emergent phenomena are analytically cloaked. Understanding distributed learning and knowledge creation requires multi-level analysis of the situated accomplishments of individuals and small groups and of how this local activity gives rise to larger phenomena in a network. We have developed an abstract transcript representation that provides a unified analytic artifact of distributed activity, and an analytic hierarchy that supports multiple levels of analysis. Log files are abstracted to directed graphs that record observed relationships (contingencies) between events, which may be interpreted as evidence of interaction and other influences between actors. Contingency graphs are further abstracted to twomode directed graphs that record how associations between actors are mediated by digital artifacts and summarize sequential patterns of interaction. Transitive closure of these associograms yields sociograms, to which existing network analytic techniques may be applied, yielding aggregate results that can then be interpreted by reference to the other levels of analysis. We discuss how the analytic hierarchy bridges between levels of analysis and theory