I doubt what I have to offer is exactly what you are looking for, but Neha Gondal and I published a few papers in which we explored how distinctly different norms of tie formation and different actor involvements at the micro level could (and did) result in distinctly different structures at the macro level, specifically in the sense of differently structured components within a single network. You won't find a ready-to-use model in our work, but conceptually it seems to be in the ballpark of what interests you. The first article is most methodological and technical of the three, using ERGM. The second is the most conceptual/theoretical. The third will interest you least as it is most historical.
1) Neha Gondal and Paul D. McLean, “What Makes a Network Go Round? Exploring the Structure of a Strong Component with Exponential Random Graph Models,” Social Networks 35, 4: 499-513
2) Neha Gondal and Paul D. McLean, “Linking Tie-meaning with Network Structure: Variable Connotations of Personal Lending in a Multiple-Network Ecology,” Poetics 41: 122-50
3) Paul D. McLean and Neha Gondal, “The Circulation of Interpersonal Credit in Renaissance Florence,” European Journal of Sociology/Archives Européennes de Sociologie 55, 2: 135-76
Good luck with your search.
"martina morris" <[log in to unmask]
>To: [log in to unmask]Sent:
Tuesday, September 8, 2015 9:10:45 AMSubject:
Re: [SOCNET] Papers discussing role of dynamics in formation of topological structures
***** To join INSNA, visit http://www.insna.org *****
You might want to look at how this is represented in ERGMs. A good
place to start is
Goodreau S, Kitts J, Morris M. Birds of a Feather, or Friend of a
Friend? Using Statistical Network Analysis to Investigate Adolescent
Social Networks. Demography. 2009;46(1):103–25.
Note, this is a model for the prevalence of ties, so not a true dynamic
model of tie formation and dissolution. For that you would need a
temporal ergm. See:
Krivitsky PN, Handcock MS. A separable model for dynamic networks.
J R Stat Soc B. 2014;76(1):29-46. doi: 10.1111/rssb.12014.
This is more of a technical paper. Pavel and I have a more applied paper
under review that examines how some simple underlying processes of tie
formation and dissolution (e.g., variation in mean degree by group,
homophily, and a degree 1 preference) lead to differences in component
size distributions for networks and network exposure for individuals.
On Tue, 8 Sep 2015, Muhammad Qasim Pasta wrote:
> ***** To join INSNA, visit http://www.insna.org ***** Hello,
> I am looking for papers to understand the role of different dynamics/rules in formation of different topological
> properties in complex networks. For example, as we know that dynamics behind formation of co-author networks and a social
> network could be different. I am interested to learn that what difference the dynamics can make on topological structure
> of a network even both network poses similar characteristics like degree distribution, average clustering coefficient
> Muhammad Qasim PastaCell: +92-333-3158277
> Save a tree. Don't print this email unless it's really necessary.
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