Dynamic Social Network Modeling and Analysis Workshop Summary and Papers (2003) / Chapter Skim
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Dynamic Network Analysis
Dynamic Network Analysis
Pages 133-145
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From page 133... ...
varies from traditional social network analysis in that it can handle large dynamic multi-mode, multi-link networks with varying levels of uncertainty. DNA, like quantum mechanics, would be a theory in which relations are probabilistic, the measurement of a node changes its properties, movement in one part of the system propagates through the system, and so on.
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From page 134... ...
However, such studies are still the exception not the rule. Further, while it is understood, at least in principle how to think about multi-modal, multi-plex, dynamic networks, the number of tools, the interpretation of the measures, and the illustrative studies using such "higher order" networks are still in their infancy relative to what is available for simpler networks.
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one such tool, DyNet is described and used to examine various isolation strategies. Dynamic Network Analysis Recently there have been a number of advances that extend SNA to the realm of dynamic analysis and multi-color networks.
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Information Needs network network Temporal ordering Organizations People Membership network Organizational capability Institutional support or attack Knowledge/Res ources Events/Tasks Organizations Interorganizational network Probabilistic Ties: The ties in the meta-matnx are probabilistic. Vanous factors affect the probability, including the observer's certainty in the tie and the likelihood that the tie is manifest at that time.
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Basic Change Processes for Nodes in the Meta-Matrix _ Knowledge/Resources Events/Tasks Innovation Goal Change Discovery Re-en~neering Forgetting Development of new Cons umption technology Stop usage of I technology Birth Death Promotion Mobility Recruitment Incarceration Isolation Organizations Organizational birth Organizational death Mergers Acquisitions Legislation of new entity Similarly, there are a set of processes that lead to the addition and removal of relations. Basic processes are cognitive, social and political in nature.
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. Organizations People Mobility Recruitment Knowledge/ Resources Events/Tasks Organizations DyNet IP development Re-engineenng Out-sourcing Alliances Coalitions The purpose of the DyNet project is to develop the equivalent of a flight simulator for reasoning about dynamic networked organizations.
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including: threat assessment, assessing information security risks in corporations; inter training; simulation of the red team in a gaming situation, and estimation of efficacy of destabilization policies. Currently an alpha version exists as a batch program (no visualization)
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The network evolutionary strategies include learning (during interaction) , forgetting, personnel attntion, misinformation, and changing task demands.
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As an aside, the particular cellular network simulated here is one whose features map onto available information about covert networks, such as the cells are completely connected internally and cell size ranges from 3-10 members. In these figures not only do we see that the isolation strategies vary in their effectiveness based on the structure of the network they are attacking, but in addition, cellular networks are able to recover from the attacks.
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From page 142... ...
The reasons are complex, but a key factor is that such network structures are able to heal relatively faster than other structure both in teens of the re-emergence of leaders and in teens of performance recoveries after personnel have been removed. Full Information is Not Necessary In the foregoing two examples, we saw the impact of destabilization strategies on network without considering "how is it that we know what we know?
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Thus, in effect, less knowledge makes both the centrality and the cognitive load strategies more similar resulting in on average lower performance due to the fact that cellular networks are more devastated by the extraction of such emergent leaders, at least in the short run. Further, reduced information about relations makes all isolation strategies more mixed thus inhibiting the ability of the opponent to engage in meta-learning.
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From page 144... ...
However, since all human action is cognitively mediated - it is unlikely that such mechanisms will not be denvable, at a basic level from what the physical and physiological constraints, what the agent knows, the basic learning and information processing mechanisms, and the way in which groups. organizations and institutions store such information.
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1990. "Biased Net Theory: Approximations, Simulations, and Observations," Social Networks, Vol.
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