Complex networks:
<p>In the last decade we have seen the emergence of a new inter-disciplinary field focusing on the understanding of networks which are dynamic, large, open, and have a structure sometimes called random-biased. The field of Complex Networks is helping us better understand many complex phenomena...
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin [u.a.]
Springer
2013
|
| Schriftenreihe: | Studies in computational intelligence
424 |
| Schlagworte: | |
| Online-Zugang: | BTU01 FHA01 FHI01 FHN01 FHR01 FKE01 FWS01 UBY01 Volltext Inhaltsverzeichnis Abstract |
| Zusammenfassung: | <p>In the last decade we have seen the emergence of a new inter-disciplinary field focusing on the understanding of networks which are dynamic, large, open, and have a structure sometimes called random-biased. The field of Complex Networks is helping us better understand many complex phenomena such as the spread of deseases, protein interactions, social relationships, to name but a few.</p><p><p>Studies in Complex Networks are gaining attention due to some major scientific breakthroughs proposed by network scientists helping us understand and model interactions contained in large datasets. In fact, if we could point to one event leading to the widespread use of complex network analysis is the availability of online databases. Theories of Random Graphs from Erdös and Rényi from the late 1950s led us to believe that most networks had random characteristics. The work on large online datasets told us otherwise. Starting with the work of Barabási and Albert as well as Watts and Strogatz in the late 1990s, we now know that most real networks are characterized by degree distributions that fit a power law (scale-free networks), and that they are highly clustered with small average path lengths between its nodes (small-world networks).</p><p><p> It is therefore safe to state that the field of Complex Networks (sometimes called Network Sciences) is one of the most promising interdisciplinary disciplines of today. The sample of works in this book gives as a taste of what is in the horizon such controlling the dynamics of a network and in the network, using social interactions to improve urban planning, ranking in music and other art forms, and the understanding of knowledge transfer in influence networks.</p><p> |
| Beschreibung: | Network Measures and Models -- Agents, Communication and Mobility -- Communities, Clusters and Partitions -- Emergence in Networks -- Social Structures and Networks -- Networks in Biology and Medicine -- Applications of Networks |
| Beschreibung: | 1 Online-Ressource (X, 266 p. 85 illus) |
| ISBN: | 9783642302879 |
| DOI: | 10.1007/978-3-642-30287-9 |
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| 520 | |a <p>In the last decade we have seen the emergence of a new inter-disciplinary field focusing on the understanding of networks which are dynamic, large, open, and have a structure sometimes called random-biased. The field of Complex Networks is helping us better understand many complex phenomena such as the spread of deseases, protein interactions, social relationships, to name but a few.</p><p><p>Studies in Complex Networks are gaining attention due to some major scientific breakthroughs proposed by network scientists helping us understand and model interactions contained in large datasets. In fact, if we could point to one event leading to the widespread use of complex network analysis is the availability of online databases. Theories of Random Graphs from Erdös and Rényi from the late 1950s led us to believe that most networks had random characteristics. The work on large online datasets told us otherwise. Starting with the work of Barabási and Albert as well as Watts and Strogatz in the late 1990s, we now know that most real networks are characterized by degree distributions that fit a power law (scale-free networks), and that they are highly clustered with small average path lengths between its nodes (small-world networks).</p><p><p> It is therefore safe to state that the field of Complex Networks (sometimes called Network Sciences) is one of the most promising interdisciplinary disciplines of today. The sample of works in this book gives as a taste of what is in the horizon such controlling the dynamics of a network and in the network, using social interactions to improve urban planning, ranking in music and other art forms, and the understanding of knowledge transfer in influence networks.</p><p> | ||
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Datensatz im Suchindex
| DE-BY-FWS_katkey | 922758 |
|---|---|
| _version_ | 1806194901151383552 |
| adam_text | COMPLEX NETWORKS
/
: 2013
TABLE OF CONTENTS / INHALTSVERZEICHNIS
NETWORK MEASURES AND MODELS
AGENTS, COMMUNICATION AND MOBILITY
COMMUNITIES, CLUSTERS AND PARTITIONS
EMERGENCE IN NETWORKS
SOCIAL STRUCTURES AND NETWORKS
NETWORKS IN BIOLOGY AND MEDICINE
APPLICATIONS OF NETWORKS
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
COMPLEX NETWORKS
/
: 2013
ABSTRACT / INHALTSTEXT
IN THE LAST DECADE WE HAVE SEEN THE EMERGENCE OF A NEW
INTER-DISCIPLINARY FIELD FOCUSING ON THE UNDERSTANDING OF NETWORKS WHICH
ARE DYNAMIC, LARGE, OPEN, AND HAVE A STRUCTURE SOMETIMES CALLED
RANDOM-BIASED. THE FIELD OF COMPLEX NETWORKS IS HELPING US BETTER
UNDERSTAND MANY COMPLEX PHENOMENA SUCH AS THE SPREAD OF DESEASES,
PROTEIN INTERACTIONS, SOCIAL RELATIONSHIPS, TO NAME BUT A FEW. STUDIES
IN COMPLEX NETWORKS ARE GAINING ATTENTION DUE TO SOME MAJOR SCIENTIFIC
BREAKTHROUGHS PROPOSED BY NETWORK SCIENTISTS HELPING US UNDERSTAND AND
MODEL INTERACTIONS CONTAINED IN LARGE DATASETS. IN FACT, IF WE COULD
POINTTO ONE EVENT LEADING TO THE WIDESPREAD USE OF COMPLEX NETWORK
ANALYSIS IS THE AVAILABILITY OF ONLINE DATABASES. THEORIES OF RANDOM
GRAPHS FROM ERDOES AND RENYI FROM THE LATE 1950S LED US TO BELIEVE THAT
MOST NETWORKS HAD RANDOM CHARACTERISTICS. THE WORK ON LARGE ONLINE
DATASETS TOLD US OTHERWISE. STARTING WITH THE WORK OF BARABASI AND
ALBERT AS WELL AS WATTS AND STROGATZ IN THE LATE 1990S, WE NOW KNOW THAT
MOST REAL NETWORKS ARE CHARACTERIZED BY DEGREE DISTRIBUTIONS THAT FIT A
POWER LAW (SCALE-FREE NETWORKS), AND THAT THEY ARE HIGHLY CLUSTERED WITH
SMALL AVERAGE PATH LENGTHS BETWEEN ITS NODES (SMALL-WORLD NETWORKS).
IT IS THEREFORE SAFE TO STATE THAT THE FIELD OF COMPLEX NETWORKS
(SOMETIMES CALLED NETWORK SCIENCES) IS ONE OF THE MOST PROMISING
INTERDISCIPLINARY DISCIPLINES OF TODAY. THE SAMPLE OF WORKS IN THIS BOOK
GIVES AS A TASTE OF WHAT IS IN THE HORIZON SUCH CONTROLLING THE DYNAMICS
OF A NETWORK AND IN THE NETWORK, USING SOCIAL INTERACTIONS TO IMPROVE
URBAN PLANNING, RANKING IN MUSIC AND OTHER ART FORMS, AND THE
UNDERSTANDING OF KNOWLEDGE TRANSFER IN INFLUENCE NETWORKS
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
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| discipline | Informatik |
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| id | DE-604.BV040879120 |
| illustrated | Not Illustrated |
| indexdate | 2024-08-01T16:14:46Z |
| institution | BVB |
| isbn | 9783642302879 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-025858922 |
| oclc_num | 820467151 |
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| publishDateSearch | 2013 |
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| publisher | Springer |
| record_format | marc |
| series | Studies in computational intelligence |
| series2 | Studies in computational intelligence |
| spellingShingle | Complex networks Studies in computational intelligence Ingenieurwissenschaften Engineering Physics Komplexes System (DE-588)4114261-5 gnd Netzwerk (DE-588)4171529-9 gnd |
| subject_GND | (DE-588)4114261-5 (DE-588)4171529-9 (DE-588)1071861417 |
| title | Complex networks |
| title_auth | Complex networks |
| title_exact_search | Complex networks |
| title_full | Complex networks Ronaldo Menezes ..., eds. |
| title_fullStr | Complex networks Ronaldo Menezes ..., eds. |
| title_full_unstemmed | Complex networks Ronaldo Menezes ..., eds. |
| title_short | Complex networks |
| title_sort | complex networks |
| topic | Ingenieurwissenschaften Engineering Physics Komplexes System (DE-588)4114261-5 gnd Netzwerk (DE-588)4171529-9 gnd |
| topic_facet | Ingenieurwissenschaften Engineering Physics Komplexes System Netzwerk Konferenzschrift 2012 Melbourne Fla. |
| url | https://doi.org/10.1007/978-3-642-30287-9 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025858922&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025858922&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV020822171 |
| work_keys_str_mv | AT menezesronaldo complexnetworks |