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Bridge Issues

Text from Dirk Baecker

Königsberg Bridge Problem:
The question was whether there is a way to cross all seven bridges in the city exactly once, and if so, whether it is also possible to make a circuitous route that takes you back to the starting point.

It is worth pausing for a moment to distinguish three things: network analysis, network theory, and network society theory.

 

Network analysis was born when the mathematician Leonard Euler tackled the Königsberg bridge problem in 1736. Königsberg is located on the Pregel River, which encloses part of the city center like an island, so that a total of seven bridges connected the individual parts of the city at that time. The people of Königsberg wondered if it was possible to take a walk through Königsberg, crossing each bridge exactly once. What one wonders on a Sunday walk. Euler solved the problem in a typically mathematical way. He proved that there is no such way. Graph theory was born, which since then has been used in numerous problems concerning the design of traffic networks, electrical networks or algorithms of social media. The question is always the same: Which vertices (“nodes”) are directly or indirectly related to each other thanks to which connections (“edges”) and which bridges can be built or broken in order to create or prevent further connections?

Decisive for Euler’s “solution” was not a geometrical attempt to trace the lines of a possible path, but the topological approach to see each edge and each node in a structural relation with all other edges and nodes. The walk through Königsberg we are looking for would only exist if every node had an even number of connections with other nodes, so that we could get there and back again. This is not the case in Königsberg. In each of the city’s districts, one gets stuck because there is no untraveled path leading out again.

The birth of network theory is the discovery by sociologist Mark Granovetter, published in the American Journal of Sociology in 1973, that weak connections between people can have strong effects. Granovetter had found out that people looking for a job or a life partner often do not find what they are looking for among those with whom they are connected anyway, but among those who are connected with those they are connected with. Not the direct, but the indirect connections are under circumstances the momentous ones.

This discovery becomes a theory, if one does not only describe the phenomenon, but explains it. In the center of this explanation are again bridges, bridge builders, or brokers who create connections between those who do not know each other. Getting to know each other is easier when you know people who know the people you want to know. Either way, the world is small enough to be able to connect with any person on this planet through a maximum of six intermediate steps. This is also the premise for the exponential effects of contagion dynamics in networks that have recently come back into focus. If every person you know knows more than one person you don’t know, the world is “infested” in no time.
Only later did people discover that the strength of weak connections contains a risk. Because whenever you get to know someone, you run the risk that the person you meet will be much more interested in people you know than in you. Suddenly, you’re out of the game and can only watch. Getting involved in networks for those you meet opens up contact opportunities that you can’t control.

In network theory, the focus therefore shifts from counting nodes and edges to describing and explaining the selectivity of connections. In network theory, the network is of interest not as a crystal in which every element is connected to all others, but as a fold in which highly diverse neighborhood relationships arise. The network is of interest as a concept of latent and entangled relations, like an idea of curved spaces with highly improbable lines of gravitational force.
Network theory asks what problem networks pose and solve. This is a sociological question. One needs an idea of who or what moves in networks, for what reasons, and with what results. It is not enough to talk about connections without knowing what these connections do or do not do. And it is not enough to talk about nodes without pointing out that these nodes are to be understood not only substantively, but above all relationally and functionally. They are what they are, but they also do what they do. In Anglo-Saxon, network is not only a noun but also a verb.
The most rigorous attempt at a network theory was presented by sociologist Harrison C. White. In 1992, his book Identity and Control: A Structural Theory of Action was published.

Identity and control are exactly what networks are all about. The basic idea is that the identity of all elements involved in a network is not given in advance, but results from their relationships. Tell me who you are connected to, and I will tell you who you are. This is not to say that substantive questions of an element’s quality do not matter. But on the one hand, they are themselves the result of previous networks in which these elements found their quality, and on the other hand, they are as much a precondition as a restriction of possible connections in new networks.
Identity is the fundamentally fragile outcome of connections as a function of changing network relationships. Control is therefore the crucial activity. Control should mean that each element is interested in maintaining the relationships in which it stands, so that it can remain what it is or become what it wants to become. How does one do this? Of course, one can try to manipulate the relationships in which one stands accordingly. Easier and more promising, however, is to try to work on oneself to become or remain, if possible, so attractive that the relationships one needs are sought by those one desires.
Third, a network theory becomes a theory of network society by testing as open an understanding as possible of what circumstances are suitable to appear as “elements” of a network. In contrast to a network-analytical or even business-management approach, the sociological network theory of Harrison C. White or also Bruno Latour pursues the idea that these elements are not homogeneous but heterogeneous. Not only people or organizations link up to form networks, but also places and histories, practices and conventions, bodies and techniques, values and institutions. The same problem of identity and control applies to all of them, the same uncertainty as to who or what can maintain or even develop which relationship with which other elements and for how long.
This not only broadens the sociologist’s view, but also the understanding of the social. Every person, every machine, every place, every story, every organization participates in a “society”, contributing to the development of identities in this society and maintaining control over one’s own actions and experiences. Sustainable cohesion does not require everyone to be connected to everyone. But there should always be a bridge in reserve that turns an odd number of connections into an even one.

Lene Baur: Königsberger Brückenproblem, Seminarvortrag an der Philipps-Universität Marburg im Wintersemester 2009/10
yumpu.com/de/document/read/10322899/02-lene-baur-konigsberger-bruckenproblem-philipps-universitat-

Mark Granovetter: „ The Strenth of Weak Ties“. In: American Journal of Sociology 78 (1973), S. 1360–1380
snap.stanford.edu/class/cs224w-readings/granovetter73weakties.pdf

Tobias Schlechtriemen: Bilder des Sozialen: Das Netzwerk in der soziologischen Theorie. München: Fink 2014 

Dirk Baecker: „Harrison C. White: ‚Identity and Control: A Structural Theory of Action‘“. In: Soziale Systeme: Zeitschrift für soziologische Theorie 2 (1996)
S. 441–445

catjects.files.wordpress.com/2021/05/white_identity_and_control_rezension.pdf

Manuel Castells: Der Aufstieg der Netzwerkgesellschaft. Opladen: GRIN 2001

A thematic issue on networks was unthinkable for us without the connection with Dirk Baecker. For no one looks at network phenomena in organizations and society from a sociological and systemic perspective like he does. And uses the intelligence of sociology to support the sustainability of a society.