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

Mixing In Large Populations: Some New Measuures ‐ Part IiKlovdahl, Alden S.Social Networks and HealthMeasures, HIV/STD, Infectious Disease, Homophily, Heterophily, MixingFRI.AM1Alden S. Klovdahl The Australian National University Canberra, Australia alden.klovdahl@anu.edu.au More often than not when we obtain 'real' network data(i.e., allowing us to map overall patterns of connection) it is with a view to measuring structural properties to ascertain their effects on individual actors, groupsof actors, or on some characteristic of the network as a whole. Where possible, we also try to understand effect‐producing processes. Rarely, however, do werecognize that these network data can be employed to develop measures of population characteristics for use when network studies are not appropriate,feasible or cost‐effective. One important characteristic of populations is the degree of 'mixing' (homophily/ heterophily) (within/between groupssimilar/different on some feature(s). Examples: mixing between infected/ susceptible individuals in epidemiological studies, between various ethnic groups instudies of potential conflict, … and so on. Previously some new measures of mixing were introduced, their theoretical justification provided, and then theywere validated with supercomputer simulations [n = 753,571 and n = 20,791,225]. Here, these measures are applied to empirical data related to socialnetworks and the spread of infectious diseases. Advantages over previous measures of mixing/homophily/heterophily are discussed. These measures allowmeaningful comparisons within and across epidemiological, policy, social and other research studies. As well, they provide a uniform basis for parameterizingrelevant mathematical models.Mobilizing Strategies And Network Centrality In Shareholder ActivismLee, JegooNetworks, Collective Action and Social MovementsSocial Movement Theory, Collaboration Network, Social MechanismsTHURS.AM1This research investigates the framing strategies of leading actors who effectively mobilize and are followed by supporters in the shareholder activism.Specifically, it examines how some social investors’ strategies of framing their goals effectively appeal potential following investors. Both social network theoryand social movement perspectives help examine this issue. The social network literature indicates that social relationships to many constituents with whom afocal actor is working together result in the prestige based on the network centrality. In social movement theory, the ability of an agent or a group of agents tobring about change depends upon effective framing and mobilizing strategies. Integrating these two frameworks, the present study hypothesizes that activeshareholders’ framing of reciprocal relations, target identification, and issue choice strategies determine their likelihood of becoming leading actors amongothers. Empirical analysis draws upon a dataset of shareholder resolutions confirms that shareholder activists utilizing proposed social movement strategiesenjoy central positions in the activist shareholder networks. This research suggests a theoretical insight on the theories of social networks, social movements,and shareholder activism.