Actor–network theory (ANT) is a theoretical and methodological approach to social theory where everything in the social and natural worlds exists in constantly shifting networks of relationships. It posits that nothing exists outside those relationships. All the factors involved in a social situation are on the same level, and thus there are no external social forces beyond what and how the network participants interact at present. Thus, objects, ideas, processes, and any other relevant factors are seen as just as important in creating social situations as humans.
ANT holds that social forces do not exist in themselves, and therefore cannot be used to explain social phenomena. Instead, strictly empirical analysis should be undertaken to "describe" rather than "explain" social activity. Only after this can one introduce the concept of social forces, and only as an abstract theoretical concept, not something which genuinely exists in the world.
Although it is best known for its controversial insistence on the capacity of nonhumans to act or participate in systems or networks or both, ANT is also associated with forceful critiques of conventional and critical sociology. Developed by science and technology studies (STS) scholars Michel Callon, Madeleine Akrich and Bruno Latour, the sociologist John Law, and others, it can more technically be described as a "material-semiotic" method. This means that it maps relations that are simultaneously material (between things) and semiotic (between concepts). It assumes that many relations are both material and semiotic.
The theory demonstrates that everything in the social and natural worlds, human and nonhuman, interacts in shifting networks of relationships without any other elements out of the networks. ANT challenges many traditional approaches by defining nonhumans as actors equal to humans. This claim provides a new perspective when applying the theory in practice.
Broadly speaking, ANT is a constructivist approach in that it avoids essentialist explanations of events or innovations (i.e. ANT explains a successful theory by understanding the combinations and interactions of elements that make it successful, rather than saying it is true and the others are false).Muniesa, F., 2015. "Actor-Network Theory", in James D. Wright (Ed.), The International Encyclopedia of Social and Behavioral Sciences, 2nd Edition, Oxford, Elsevier: vol. 1, 80-84. Likewise, it is not a cohesive theory in itself. Rather, ANT functions as a strategy that assists people in being sensitive to terms and the often unexplored assumptions underlying them. It is distinguished from many other STS and sociological network theories for its distinct material-semiotic approach.
Background and context ANT was first developed at the Centre de Sociologie de l'Innovation (CSI) of the École nationale supérieure des mines de Paris in the early 1980s by staff (Michel Callon, Madeleine Akrich, Bruno Latour) and visitors (including John Law). The 1984 book co-authored by John Law and fellow-sociologist Peter Lodge (Science for Social Scientists; London: Macmillan Press Ltd.) is a good example of early explorations of how the growth and structure of knowledge could be analyzed and interpreted through the interactions of actors and networks. Initially created in an attempt to understand processes of innovation and knowledge-creation in science and technology, the approach drew on existing work in STS, on studies of large technological systems, and on a range of French intellectual resources including the semiotics of Algirdas Julien Greimas, the writing of philosopher Michel Serres, and the Annales School of history.
ANT appears to reflect many of the preoccupations of French post-structuralism, and in particular a concern with non-foundational and multiple material-semiotic relations. At the same time, it was much more firmly embedded in English-language academic traditions than most post-structuralist-influenced approaches. Its grounding in (predominantly English) science and technology studies was reflected in an intense commitment to the development of theory through qualitative empirical case-studies. Its links with largely US-originated work on large technical systems were reflected in its willingness to analyse large scale technological developments in an even-handed manner to include political, organizational, legal, technical and scientific factors.
Many of the characteristic ANT tools (including the notions of translation, generalized symmetry and the "heterogeneous network"), together with a scientometric tool for mapping innovations in science and technology ("co-word analysis") were initially developed during the 1980s, predominantly in and around the CSI. The "state of the art" of ANT in the late 1980s is well-described in Latour's 1987 text, Science in Action.Latour, B. (1987). Science in Action: How to Follow Scientists and Engineers Through Society. Milton Keynes: Open University Press.
From about 1990 onwards, ANT started to become popular as a tool for analysis in a range of fields beyond STS. It was picked up and developed by authors in parts of organizational analysis, informatics, health studies, geography, sociology, anthropology, archaeology, feminist studies, technical communication, and economics.
, ANT is a widespread, if controversial, range of material-semiotic approaches for the analysis of heterogeneous relations. In part because of its popularity, it is interpreted and used in a wide range of alternative and sometimes incompatible ways. There is no orthodoxy in current ANT, and different authors use the approach in substantially different ways. Some authors talk of "after-ANT" to refer to "successor projects" blending together different problem-focuses with those of ANT.John Law and John Hassard (eds) (1999). Actor Network Theory and After (Oxford and Keele: Blackwell and the Sociological Review).
Key concepts
Actor/Actant An actor (actant) is that which acts and causes action. It implies no motivation of human individual actors nor of humans in general. An actant can literally be anything provided it is granted to be the source of action. In another word, an actor, in this circumstance, is considered as any entity that does things. For example, in the "Pasteur Network", microorganisms are not inert, they cause unsterilized materials to ferment while leaving behind sterilized materials not affected. If they took other actions, that is, if they did not cooperate with Pasteur – if they did not take action (at least according to Pasteur's intentions) – then Pasteur's story may be a bit different. It is in this sense that Latour can refer to microorganisms as actors.
Under the framework of ANT, the principle of generalized symmetry requires all entities must be described in the same terms before a network is considered. Any differences between entities are generated in the network of relations, and do not exist before any network is applied.
Human actors Human normally refers to human beings and their human behaviors.
Nonhuman actors Traditionally, nonhuman entities are creatures including plants, animals, geology, and natural forces, as well as a collective human making of arts, languages. In ANT, nonhuman covers multiple entities including things, objects, animals, natural phenomena, material structures, transportation devices, texts, and economic goods. But nonhuman actors do not cover entities such as humans, supernatural beings, and other symbolic objects in nature.
Actor-Network As the term implies, the actor-network is the central concept in ANT. The term "network" is somewhat problematic in that it, as LatourLatour, B. (1999). "Technology Is Society Made Durable". In Law, J., ed., Sociology of Monsters. notes, has a number of unwanted connotations. Firstly, it implies that what is described takes the shape of a network, which is not necessarily the case. Secondly, it implies "transportation without deformation," which, in ANT, is not possible since any actor-network involves a vast number of translations. Latour, however, still contends that network is a fitting term to use, because "it has no a priori order relation; it is not tied to the axiological myth of a top and of a bottom of society; it makes absolutely no assumption whether a specific locus is macro- or micro- and does not modify the tools to study the element 'a' or the element 'b'." This use of the term "network" is very similar to Deleuze and Guattari's rhizomes; Latour even remarks tongue-in-cheek that he would have no objection to renaming ANT "actant-rhizome ontology" if it only had sounded better, which hints at Latour's uneasiness with the word "theory".
Actor–network theory tries to explain how material–semiotic networks come together to act as a whole; the clusters of actors involved in creating meaning are both material and semiotic. As a part of this it may look at explicit strategies for relating different elements together into a network so that they form an apparently coherent whole. These networks are potentially transient, existing in a constant making and re-making. This means that relations need to be repeatedly "performed" or the network will dissolve. They also assume that networks of relations are not intrinsically coherent, and may indeed contain conflicts. Social relations, in other words, are only ever in process, and must be performed continuously.
The Pasteur story that was mentioned above introduced the patterned network of diverse materials, which is called the idea of 'heterogenous networks'. The basic idea of patterned network is that human is not the only factor or contributor in the society, or in any social activities and networks. Thus, the network composes machines, animals, things, and any other objects. For those nonhuman actors, it might be hard for people to imagine their roles in the network. For example, say two people, Jacob and Mike, are speaking through texts. Within the current technology, they are able to communicate with each other without seeing each other in person. Therefore, when typing or writing, the communication is basically not mediated by either of them, but instead by a network of objects, like their computers or cell phones.
If taken to its logical conclusion, then, nearly any actor can be considered merely a sum of other, smaller actors. A car is an example of a complicated system. It contains many electronic and mechanical components, all of which are essentially hidden from view to the driver, who simply deals with the car as a single object. This effect is known as punctualisation, and is similar to the idea of encapsulation in object-oriented programming.
When an actor network breaks down, the punctualisation effect tends to cease as well. In the automobile example above, a non-working engine would cause the driver to become aware of the car as a collection of parts rather than just a vehicle capable of transporting him or her from place to place. This can also occur when elements of a network act contrarily to the network as a whole. In his book Pandora's Hope, Latour likens depunctualization to the opening of a black box. When closed, the box is perceived simply as a box, although when it is opened all elements inside it become visible.
Translation Central to ANT is the concept of translation which is sometimes referred to as sociology of translation, in which innovators attempt to create a forum, a central network in which all the actors agree that the network is worth building and defending. In his widely debated 1986 study of how marine biologists tried to restock the St Brieuc Bay in order to produce more scallops, Michel Callon defined 4 moments of translation: