Tag Archives: NaN

NaN’s strong presence at HT09

ht09NaN had a strong presence at Hypertext 2009 in Torino:

Hypertext 2009

ht09Fil Menczer is one of the organizers of Hypertext 2009, the 20th ACM Conference on Hypertext an Hypermedia. The conference will be held June 29-July 1 at the Villa Gualino Convention Centre, on the hills overlooking Torino, Italy. Hypertext is the main venue for high quality peer-reviewed research on “linking.” The Web, the Semantic Web, the Web 2.0, and Social Networks are all manifestations of the success of the link. With a 70% increase in submissions, Hypertext 2009 will have a strong and diverse technical program covering all research concerning links: their semantics, their presentation, the applications, as well as the knowledge that can be derived from their analysis and their effects on society. The conference will also feature demos, posters, a student research competition, four workshops, and keynotes by Lada Adamic and Ricardo Baeza-Yates.

Informatics team finds simple rules that explain universal laws of written text

Similarity Cloud for 'mac' vs 'pc'
Similarity Cloud for 'mac' vs 'pc'

Alessandro Flammini and Filippo Menczer, along with M. Ángeles Serrano from the University of Barcelona, have authored a paper entitled “Modeling Statistical Properties of Written Text” that has been published in the PLoS One. The paper introduces and validates a generative model that explains from simple rules the simultaneous emergence of patterns of written text observed in many languages. The paper focuses on the well-known Zipf’s law of word frequencies, as well as additional patterns such as Heaps’ law of word diversity, the bursty nature of rare words, and similarity among documents. Through their model, the researchers found a connection between word burstiness and the topicality of text. In addition, they identify dynamic word ranking and memory across documents as key mechanisms to explain the organization of written text. The semantic similarity between topics, which is one of the features that the model aims to explain, is visualized by the Similarity Cloud, an online tool developed by computer science graduate student Mark Meiss. The model developed by the researchers and the findings of this paper could lead to improved techniques for identifying key terms that capture the topics of a Web page, which is crucial for matching search queries to relevant results and ads. More…

Publications

nan word cloudBack to NaN

The documents distributed here have been self-archived as a means to ensure timely dissemination of scholarly and technical work on a noncommercial basis (see Open Access Initiative). Copyright and all rights therein are maintained by the publishers and/or the authors, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author’s copyright. Many electronic versions are draft preprints of published papers; the published versions should be considered definitive.

See also Fil’s Google Scholar profile

NaN

News | People | Publications | Meetings | Mailing list | Talks | Pics | Computing | Data | Coffee

Networks & agents Network (NaN)

NaN is a research group exploring the modeling, simulation, and analysis of complex social and information networks, and the human and artificial agents who live in these networks. Broadly speaking our research spans network science, data science, web science, and computational social science. Recently our focus has been on modeling the dynamic processes that occur online (how information networks grow and evolve, how memes go viral, how social media can be manipulated for the spread of misinformation, how attention bursts and other traffic patterns emerge, etc.) and on the design of tools to make the Web and social media ‘better’ (more trustworthy, reliable, intelligent, autonomous, robust, personalized, contextual, scalable, adaptive, and so on). We collaborate with colleagues at the IU Network Science Institute (IUNI)ISI FoundationYahoo Research, and many other institutions.

Active NaN projects

Hoaxy
Hoaxy
OSoMe
Observatory on Social Media (OSoMe)
Botometer
Botometer
COSINE
COSINE
Algorithmic Bias
Bias
Kinsey Reporter
Kinsey Reporter
Scholarometer
Science of Science
Web Traffic Analysis & Modeling
Online Behavior
computational-fact-checking
Fact-Checking

Archived NaN projects

Attention and Virality
Attention and Virality
DESPIC
DESPIC
Web Dynamics
Web Dynamics
Web Security
Web Security
GiveALink
GiveALink
Text & Link Modeling
Text & Link Modeling
Sixearch
Sixearch
Network Flow Analysis
Network Flow Analysis
WebGraph++
WebGraph++
InfoSpiders
InfoSpiders
Web Topologies
Web Topologies
IntelliShopper
IntelliShopper
ELSA
ELSA
LEE
LEE
BioNets
BioNets
ACE
ACE

NaN-list

Piled Higher and Deeper by Jorge Cham, www.phdcomics.com

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NaN-list is a low-traffic mailing list to route messages to the Network & agents Network. Messages include meeting reminders and abstracts, calls for papers and participation of relevant conferences and journals, relevant job ads (postdoc, academic, industry research labs), pointers to relevant news and publications, and occasionally other announcements or requests.

If you wish to subscribe, browse archives, send messages to the list, manage your membership, or unsubscribe, follow these instructions. Note: the name of the list is nan-l (“l” as in “list”). Membership is moderated for spam prevention. If Fil does not know you, contact him after subscribing to explain who you are and why you want to join. Typically the list is open only to people with an IU affiliation. If you have an IU List account, you can visit the list homepage to manage your subscription, browse the archive, etc.

NOTE 1: If you are unable to follow these directions, then you failed your first test; you might want to contact the help desk rather than me for assistance. 

NOTE 2: When you send a message to the list, be sure to send it from the same email address that is subscribed to the list. If you send the message from a different address, your message will be rejected.

NaN People

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PI

Fil Menczer, PI
Fil Menczer

Postdoctoral associates & research scientists

Diogo Pacheco
Diogo Pacheco
Giovanni Luca Ciampaglia
Xiaoran Yan

Graduate students

Dimitar Nikolov
Dimitar Nikolov
Clayton A Davis
Clayton A Davis
Pik-Mai Hui
Pik-Mai Hui
Wen Chen
Wen Chen
John Bollenbacher
John Bollenbacher
Gregory Maus
Gregory Maus
Aditya Tandon
Aditya Tandon
Kevin Yang
Kaicheng Yang
Vincent Wong
Vincent Wong
Zoher Kachwala
Zoher Kachwala
Mohsen Sayyadi
Mohsen Sayyadi
Zac Monroe
Zac Monroe

Visitors and other collaborators

Diego R. Amancio
Diego R. Amancio
Xiaodan Lou
Xiaodan Lou

Past collaborators, postdocs and visitors

Giovanni Luca Ciampaglia
Giovanni Luca Ciampaglia
Filipi N. Silva
Filipi N. Silva
Chengcheng Shao
Chengcheng Shao
Kazutoshi Sasahara
Kazutoshi Sasahara
Emilio Ferrara
Emilio Ferrara
Diego Fregolente
Diego Fregolente
Rossano Schifanella
Rossano Schifanella
Giancarlo Ruffo
Giancarlo Ruffo
Xiaoyan Qiu
Xiaoyan Qiu
Przemyslaw Grabowicz
Przemyslaw Grabowicz
Luca Aiello
Luca Aiello
Ruby Wang
Ruby Wang
Lino Possamai
Lino Possamai
Xiaoling
Xiaoling Sun
Giorgio Elia
Giorgio Elia
ciro cattuto
Ciro Cattuto
Alex Vespignani
Alex Vespignani
Markus Jakobsson
Markus Jakobsson
Bruno Gonçalves
Bruno Gonçalves
Nicola Perra
Nicola Perra
Jose Ramasco
Jose Ramasco
Wouter Van den Broeck
Wouter Van den Broeck
Mariangeles Serrano
Mariangeles Serrano

Alumni

Mihai Avram
Mihai Avram
Onur Varol
Onur Varol
Prashant Shiralkar
Prashant Shiralkar
Azadeh Nematzadeh
Azadeh Nematzadeh
Hao Peng
Hao Peng
Rachael Fulper
Rachael Fulper
Pablo Moriano
Pablo Moriano
Karissa McKelvey
Karissa McKelvey
Jasleen Kaur
Jasleen Kaur
Mohsen JafariAsbagh
Mohsen JafariAsbagh
Lilian Weng
Lilian Weng
Michael Conover
Michael Conover
Magesh Vadivelu
Magesh Vadivelu
Alex Rudnick
Alex Rudnick
jiayi
Jiayi Zhu
Jacob Ratkiewicz
Jacob Ratkiewicz
Dae Kim
Dae Wook Kim
Heather Roinestad
Heather Roinestad
Mark Meiss
Mark Meiss
Snehal Patil
Snehal Patil
Ruj Akavipat
Ruj Akavipat
Le-Shin Wu
Le-Shin Wu
Diep Hoang
Diep Hoang
Alejandro Valerio
Alejandro Valerio
Ben Markines
Ben Markines
Katrina Panovich
Katrina Panovich
Thomas Reichherzer
Thomas Reichherzer
Vivek Krishna
Vivek Krishna
Namrata Lele
Namrata Lele
Dyvia Rao
Dyvia Rao
Tei Laine
Tei Laine
Mira Stoilova
Mira Stoilova
Ana Maguitman
Ana Maguitman
Alia Al-Kasimi
Alia Al-Kasimi
Gayathri Athreya
Gayathri Athreya
Troy Tassier
Troy Tassier
Yong Seog Kim
Yong Seog Kim
Gautam Pant
Gautam Pant
Melania Degeratu
Melania Degeratu

NaN Meetings

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Piled Higher and Deeper by Jorge Cham, www.phdcomics.com

NaN meets weekly. Toward the beginning of each semester we hold an organizational meeting to plan the topics and presentations for the rest of the semester (see calendar below).

Before each meeting, an abstract of the upcoming topic is sent to the NaN mailing list. Subscribe if you are interested. NaN Meetings are open to anyone.

Usually the speaker is responsible for pizza or cookies (depending on meeting time), which are in part reimbursed from Espresso Club funds.

Occasionally we hold brief, secret meetings.