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Archaeology & Anthropology 2018 Global Journal of Research and Review
ISSN: 2393-8854 Page 21
October 01-02, 2018
London, UK
1 st Edition of international Conference on
Archaeology and
Anthropology
Yesterdays’ friend/enemy rarely become tomorrows’ enemy/
friend. Relations do not change easily in presence of
memory. In fact, the ability of human beings to remember history
of relations develops social concepts such as commitment and
allegiance leading to the formation of cultural communities,
alliances, and political groups. In order to investigate this effect
on dynamic of social networks, we introduce a temporal kernel
function into the Heider’s balance theory, allowing the quality
of past relations to contribute to the evolution of system.
In this theory, relations between agents are considered as
positive/negative links referring to friendship/animosity, profit/
nonprofit, etc. This theory proposes a model based on triadic
configurations in which relations evolve to reduce the number
of unbalanced triads and attain minimum tension states
(balanced or jammed states). Considering memory results
in the emergence of aged links which measures the aging
process of the society. By increasing age of some relations,
some nodes become more resist to change their relations,
resulting in the formation a skeleton under the skin of society.
Even though network’s dynamic gets affected by memory, still
the general trend of society dynamics goes towards obtaining
stable states. The resistance of aged links against the changes
decelerates the evolution of the society and traps it into long-
lived frustrated states which can survive in unstable states in
contrast to stable configurations.
Recent Publications
1. Hedayatifar L et al. (2017) Pseudo paths towards
minimum energy states in network dynamics. Physica
A: Statistical Mechanics and its Applications
483(C):109-116.
2. Hassanibesheli F et al. (2017) Glassy States of Aging
Social Networks. Entropy 19(6):246.
3. Hassanibesheli F et al. (2017) Gain and loss of esteem,
direct reciprocity and Heider balance. Physica A:
Statistical Mechanics and its Applications. 468:334-
339.
Biography
Leila Hedayatifar is a Recipient of numerous awards and grants including
National Science Foundation Award and the International Center for Theo-
retical Physics Prize. As a Physicist at the New England Complex Systems
Institute in the United States, her current research focuses on dynamics of
social networks using mathematical and data analysis. Her seminal work
has been recognized several times. She has published and presented over
30 articles in highly ranked peer-reviewed journals and conferences. She
participated as a Scientific Board and Organizing Committee of several
national and international meetings including the International Conference
on Complex Systems. She is a Member of American Physical Society and
International Complex Systems Society. She is serving as an Editorial and
Reviewer of various scientific journals including journal of Big Data and Cog-
nitive Computing, Entropy, and Sustainability.
Long-lived frustrated states in social network dynamics
Leila Hedayatifar
New England Complex Systems Institute, USA
Leila Hedayatifar, Glob J Res Rev 2018, Volume 5
DOI: 10.21767/2393-8854-C1-002