[SwarmFest2004] Re: Abstract submission

[Rick Riolo]

hi kerimcan,

ok, we have your abstract, we'll let you know
if a few days if we can fit it into the schedule.

- r

Rick Riolo                           address@hidden
Center for the Study of Complex Systems (CSCS)
4477 Randall Lab
University of Michigan         Ann Arbor MI 48109-1120
Phone: 734 763 3323                  Fax: 734 763 9267
http://cscs.umich.edu/~rlr

On Mon, 5 Apr 2004, Kerimcan Ozcan wrote:

> Date: Mon, 5 Apr 2004 15:15:18 -0400 (EDT)
> From: Kerimcan Ozcan <address@hidden>
> To: address@hidden
> Cc: address@hidden, address@hidden
> Subject: Abstract submission
>
> Dear Committee members,
>
> Per Rick Riolo's advice I am (belatedly) submitting the following abstract
> of a paper, I and my coauthor Venkat Ramaswamy of Michigan Business School
> are currently working on. I hope it can be accommodated within the
> conference schedule.
>
> Kerimcan Ozcan
> University of Michigan
>
> -----------------------------------------
>
> Authors:
> Kerimcan Ozcan
> University of Michigan
> 701 Tappan Street
> Ann Arbor, MI 48109
> E-mail: address@hidden
> Phone: (734) 668-8513
> Fax: (734) 647-8133
>
> Venkat Ramaswamy
> University of Michigan
> 701 Tappan Street
> Ann Arbor, MI 48109
> E-mail: address@hidden
> Phone: (734) 763-5932
> Fax: (734) 936-0279
>
> Title:
>
> Diffusion of Innovations in Small Worlds: Taking Shortcuts While Seeding?
>
> Whereas most research on diffusion of innovations (Bass 1969), network
> externalities (Katz and Shapiro 1986), information cascades (Bikhchandani,
> Hirshleifer, and Welch 1992), and fashions (Miller, McIntyre, and Mantrala
> 1993) require and recognize network phenomena without explicitly modeling
> them or doing so under very restrictive assumptions, most research in
> social network analysis facilitates the description of the "ties that bind
> actors in a network" (see Wasserman and Faust 1994 for a general review)
> without dynamically linking structure with concrete social processes and
> individual manipulations (White, Boorman, and Breiger 1976). Subsequently,
> one has to study how information flows and other transactions relate to
> structural patterns and their change. This is the main objective of this
> paper. In particular, we superimpose a theoretical model of innovation
> adoption and word-of-mouth interaction at the micro-model onto the
> small-world insight that a very small number of random, global links at
> the macro-level can shrink the network drastically (Watts 1999).
>
> We first propose a theoretical model of word-of-mouth interaction
> utilizing information- and decision-theoretic conventions (Chatterjee and
> Eliashberg 1990; Feder and O'Mara 1982; Jensen 1982; Roberts and Urban
> 1988). Next, using the small-worlds formalism proposed by Watts and
> Strogatz (1998), we generate networks that are connected, have minimal
> structure, are made up of unidirectional and non-valued links, and range
> between a topological ring and a complete graph. Then, we utilize the
> SWARM agent-based modeling platform to investigate the effects of network
> size, number and distance of shortcuts, and number and collocation of seed
> agents on the aggregate dynamics of innovation adoptions as mediated
> through word-of-mouth traffic. We close by discussing these results and
> what they imply for managerial practice.
>