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Entangled Histories. Network Analysis, Complexity Theory and Relational Sociology as Tools of Historical Analysis

Entangled Histories. Network Analysis, Complexity Theory and Relational Sociology as Tools of Historical Analysis Dr. Johannes Preiser-Kapeller, Institute for Medieval Research, Division of Byzantine Research, Austrian Academy of Sciences (Vienna; Email: Johannes.Preiser-Kapeller@oeaw.ac.at) Abstract: “Social network” has become a very popular concept in recent scholarship also in the field of historical studies; but in many cases scholars only use it in a “metaphoric” way and do not take into account the conceptual and analytical framework established around this term in sociology as well as other disciplines such as complexity theory and “socio-physics” in the last decades. Recent studies on historical network analysis work mainly within the framework of quantitative network analysis, which concentrates on the construction of quantifiable network models (with nodes and ties or links) on the basis of relational data and on the mathematical analysis of these models with regard to their general structure (cf. for instance the papers presented at the conference “The Connected Past” in Southampton in March 2012, http://connectedpast.soton.ac.uk/schedule/). But besides or in addition to quantitative analysis, the field of “relational sociology” has highlighted the more “qualitative” aspects of social networks with regard to their relevance for the embedding and even construction of identities and relationships. In our studies of historical networks we attempt to combine both approaches (cf. http://oeaw.academia.edu/JohannesPreiserKapeller/Papers for a number of relevant papers). In our presentation, we will demonstrate how the “relational approach” and network theory enable us to systematically arrange and connect data from our source evidence in a new way in order to draw a more complex picture of the past (also in the form of visualisations, see two examples below) then with other, more paratactic approaches. In general, we will show the possibilities, benefits and pitfalls of these concepts and tools for the fields of Byzantine and medieval studies and also beyond for historical studies and archaeology. The network of transfers of property between Venetian noble families in the area of Chania on the island of Crete, 1314-1348 (© J. Preiser-Kapeller) A network model of the spatial organisation of the Byzantine church: the linkages between bishoprics through joint administration (epidosis), 1315-1402 (© J. Preiser-Kapeller)
ENTANGLED HISTORIES. NETWORK ANALYSIS, COMPLEXITY THEORY AND RELATIONAL SOCIOLOGY AS TOOLS OF HISTORICAL ANALYSIS. Johannes Preiser-Kapeller, Institute for Medieval Research, Division of Byzantine Research, Austrian Academy of Sciences A conversion from the Byzantine Church to Islam in Tanaïs at the river Don, 1356 („musulmanizo“) The interconnections between Tanaïs and the Mediterranean world on the basis of the information on places of origin of merchants active in the city in 1359/1360 (data from Venetian notary acts) GOLDEN HORDE The social network of Metropolitan Symeon of Alania and his brother between Byzantines (blue) and the Muslim Khan of the Golden Horde (green), The range of connections and influence of the Metropolitan of Alania in the 1350s and 1360s on the basis of the information from the documents from the Register of the Patriarchate of Constantinople GOLDEN HORDE The geographical range of the connections between Tanaïs and the Mediterranean world and of the network of the Metropolitan Symeon of Alania as background to the conversion of his brother GOLDEN HORDE Marc David BAER, Honored by the Glory of Islam (2008) Scholars emphasize the social and historical context and aspects of conversion, arguing that conversion is motivated by social relationships and interpersonal bonds. (…) It is not only the life of the mind that matters, but also the life of the social being, for conversion is not only deeply private, but also deeply social.” Describing the social world with relations To study individuals study first as isolates and to derive the figurations they form together from what they are without the patterns of their living together, is a confusion of thought, impeding the analysis of these figurations. (...) Individuals are always found in figurations and configurations of individuals are irreducible. To think of a single individual as if it originally were socially independent, or of individuals here and there regardless of their relations with each other, is a baseless starting point. (Norbert Elias – John Scotson, Etablierte und Außenseiter, 1965, 72, 264-265) 8 MAPPING AND ANALYSING MEDIEVAL ENTANGLEMENTS WITH SOCIAL NETWORK ANALYSIS Friendship-network of the Division of Byzantine Research on facebook (700 friends) 10 11 The visualisation and structural analysis of social networks : Graphs (with NODES and TIES) and Matrices (with ROWS und COLUMNS) 12 Documents as artefacts of acts of communication and interaction: the Synod of Constantinople and networks The Synod of Constantinople, Sept. 1382-March 1386 (10 sessions) – the case of Konstantinos Kabasilas Degree (= the number of ties of each node) Betweenness (= relative potential to connect otherwise unconnected nodes) The group of the intercessors of Kabasilas becomes clearly visible in the structure of the network The systematic survey of relations from the sources makes visible patterns and structures which can be analysed and visualised Network of the synode, 1315-1349, nodes scaled according to their „betweennesscentrality“ The social topography of interaction in an institution in time: the synodal network, 1315-1349 18 The polarisation of the network of the Byzantine aristocrats between followers of Emperor Andronikos II (red) and Emperor Andronikos III (blue), 1321-1328 19 The unequal distribution of links in comparison with the random network Networks are not „fair“: „normal“ and „unequal “ distributions of ties 21 Networks are not „fair“: „normal“ and „unequal “ distributions of ties 22 Unequal distributions of ties: the number of friends on facebook 23 Unequal distributions of ties: the number of ties in the network of the Byzantine aristocracy, 1315-1328 24 The resilience of unequally distributed networks The „dynastic accident“ of the untimely death of Emperor Andronikos III (1341) and the network of the Byzantine aristocracy 26 Interconnection between families of the city council of Vienna through kinship, 14th cent. (E. Gruber, IFÖG, 2011): scaling of nodes according to their degree 27 The spatial organisation of the Byzantine church: the linkages between bishoprics through joint administration (epidosis), 1315-1402 Trying to preserve the top and the core: the 20 most central nodes in the epidosis-network Attaleia Kaisareia Melitene Side Ainos Amaseia Kotyaeion Myra Philadelpheia Prusa Rhodos Staurupolis Trapezus Athens Christupolis Ephesos Laodikeia Philippoi Sugdaia and Phulloi Antiocheia Pisidias Relative resilience and the partial survival of the episcopal framework: a comparison of Notitia 13 (late 12th cent.) and Notitia 21 (late 15th cent.; ed. Darrouzès) The survival of metropolitan sees and archbishoprics: Notitia 21 (late 15th cent.; ed. DARROUZÈS) (12 out of 20 most central nodes) Attaleia Kaisareia* Melitene Side Ainos* Amaseia* Kotyaeion Myra Philadelpheia* Prusa* Rhodos* Staurupolis Trapezus* Athens* Christupolis* Ephesos* Laodikeia Philippoi* Sugdaia and Phulloi Antiocheia Pisidias* A topological network model of Trans-Sahara-routes of the 11th-14th cent. Topological network model: Scaling of nodes according to their betweenness Topological network model: Scaling of nodes according to their closeness The Emperor Musa I of Mali (c. 1280 - c. 1337) in the Catalan Atlas of 1375 Modelling maritime interaction in the Aegean Bronze Age: the cost and attractiveness of connections (KNAPPETT, EVANS, RIVERS, 2008) Complex networks in archaeology: urban connectivity in Roman southern Spain (Tom BRUGHMANs, 2011) Two networks showing the patterns of visibility (arcs) between sites (nodes) in Roman southern Spain. The red network restricts visibility to 20km around sites, whilst the blue one is unrestricted The interconnections of rooms in the Kensington Palace, ca. 1380 (Richardson, 2003) 35 The (hypothetical) linkages between 72 sites in Southern Scandinavia (9th10th cent.) on the basis of 31 types of artefacts (Søren M. Sindbæk, 2007) 36 Katherine LARSON, Sign Here: Tracing Spatial and Social Networks of Hellenistic Sculptors (2012) http://connectedpast.soton.ac.uk/recorded-presentations/ Networks, Structure and Culture • “Most cultural theorists saw network analysis as located squarely in the positivist camp, reducing cultural richness to 1s and 0s and lacking attention to processes of interpretation and meaningconstruction.” (MISCHE, 2011) • “(…) despite its powerful conceptualization of social structure, network analysis as it has been developed to date has inadequately theorized the causal role of ideals, beliefs, and values, and of the actors that strive to realize them; as a result, it has neglected the cultural and symbolic moment in the very determination of social action.” (EMIRBAYER – GOODWIN, 1994) „Backcloth“ and „Traffic“ (ATKINS 1974, 1977; BORGATTI et al. 2009) Similarities Social relations Interactions Flows SIMILARITIES SOCIAL RELATIONS FLOWS INTERACTIONS Charalampos Gasparis, Catasticum Chanee, 1314-1396 (Catastici Feudorum Crete). Athens 2008 ∗ 441 documents for 82 years ∗ information on the property and transfer of feuda ∗ 165 noble families (121 „Venetian“, 44 „Greek“), 163 localities 41 Neighbourhood-networks – 1314-1348/1348-1367/1368-1396 42 Transfer-networks – 1314-1348/1348-1367/1368-1396 43 The number of „Venetian“ and „Greek“ noble families in the three phases 44 Densities of „inner-Venetian“ and „inner-Greek“ networks SIMILARITIES (physical proximity, noble status, language, customs, believes, [„markers of identity“]) FLOWS (of pieces of property, material objects, individuals, information, termini, narratives) SOCIAL RELATIONS (kinship, friendship, commercial partnership, etc.) INTERACTIONS (speaking, commercial exchange, marriage, common insurgence) TIES CREATE NODES CREATE TIES: Harrison C. White´s “relational sociology” NIKLAS LUHMANN´S SYSTEMS THEORY AND NETWORK THEORY: ∗ “persons” are constructs of communication for the purpose of communication; they emerge in the process of communication and only gain profile by their embedding in the web of communications ∗ Relationships include “stories” of episodes of interaction and communication, thereby defining also the horizon of expectation for further interaction and communication. Relationships provide the context and the relevant social environment in order to classify particular future interaction situation (e. g. “friendship”). The “co-construction” of ties and nodes in the ecclesiastical context: the network of the bishops of Russia, May 1328 – November 1335 Co-presence Ordination The emergence of aesthetic networks ∗ „The increasing density, scale, and complexity of various kinds of network relationships in specific historical contexts – including Tokugawa Japan – create conditions of possibility for new cultural emergent properties to arise. While such an increase in network complexity in and of itself does not directly produce or formulate new cultural items, it may lead in that direction. In each case, the increase in the density of intersections between networks intensifies communication and in the process produces increasingly varied publics. These publics, in turn, can provide opportunities for cultural innovation.” (…) (IKEGAMI, 2005) Cultural Networks: Punk and Palamism CROSSLEY (2011) PREISER-KAPELLER (2011/2012) Networks of concepts and narratives ∗ “concepts cannot be defined on their own as single ontological entities; rather, the meaning of one concept can be deciphered only in terms of its “place” in relation to other concepts in its web.” (SOMERS, 1995) ∗ “Because narratives are sequential and because they often generate multiple forks, graphic representation is natural. Moreover, the tendency for narratives within a speech community to become conventionalized so that similar tropes or sequences appear within different narratives, renders SNA a natural way to explore similarity and intertextuality.” (DIMAGGIO, 2011) Networks of Narratives (BEARMAN et. al., 1999) narrated time narrated time Networks of cultural phenomena and actors – the idea of „duality“ ∗ “the recognition that each mode in a two-mode network constitutes the identity of the other. Initially, duality referred to the mutual constitution of groups (defined by persons who join them) and persons (defined by the intersection of group affiliations). But we may also think of cultural entities as constituted by and constituting the actors who share them” (DIMAGGIO, 2011) „New Constantines“ – the field of imperial panegyrics after 1204 (data from ANGELOV, 2008) The relative in-degrees of the figures as measure for their popularity among all authors (depiction of the top 10 nodes) The relative exclusivity of the selection of comparative figures by the respective authors The field of imperial panegyrics after 1204 (data from ANGELOV, 2008) The 1mode-network of comparative (classical and biblical) figures in imperial panegyrics The network in time: 1208 The network in time: 1250 The network in time: 1254 (I) The network in time: 1254 (II) The network in time: 1266 The network in time: 1270 The network in time: 1283 The network in time: 1285 The network in time: 1290 The network in time: 1294 The network in time: 1300 The network in time: 1322 The network in time: 1326 (I) The network in time: 1326 (II) The network in time: 1327 The network in time: the increase of the number of links The network in time: the increase of the number of nodes The development of the relative significance of single figures within the web, 1208-1328 SYSTEMS THEORY AND RELATIONAL SOCIOLOGY SOCIOPHYSICS (Complex Networks, „small worlds“) (Qualitative Network Analysis, Networks and Culture) [Kulturwiss. Institut Essen] [Archaeological Computing Research Group, University of Southampton; TIBProject – M. Popović] [Section for Science of Complex Systems, Medizinische Univ. Wien] QUANTITATIVE NETWORK ANALYSIS (Sociology, Historical Network Analysis) [Histor. Institut, Univ. Jena] GEOGRAPHICAL UND ARCHEOLOGICAL NETWORK ANALYSIS (HGIS) ANALYSIS OF ENTANGLEMENTS IN BYZANTINE & MEDIEVAL STUDIES AT THE AUSTRIAN ACADEMY - Univ. Cluj-Napoca - IFÖG/Univ. Wien (VISCOM) - Univ. Tübingen - Central European Univ. (Budapest) - Univ. Manchester - King´s College (London) - Comenius Univ. Bratislava Conclusion ∗ “Instead of viewing things as isolated units, they are better understood as being at the intersections of particular relations and as deriving their defining characteristics from the intersections of these relations” (MARIN – WELLMANN, 2011)